137 Data Visualization jobs in the United States

This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential.

Cultural Beliefs

• One LSC
• Student Focused
• Own It
• Foster Belonging
• Cultivate Community
• Choose Learning

The Chronicle of Higher Education's "Great Colleges to Work For®" is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions.

Lone Star College has been recognized in multiple categories.

As faculty members of Lone Star College, we strive to create a nation of world citizenry in our students. In that pursuit, we model ways of thinking and being that incorporate diversity, equality, and equity. Our culture, then, requires the possession of transcendent qualities that, while immeasurable, are evident in global citizens. We are compassionate with our students, colleagues, and ourselves. We are innovative in the pursuit of learning. Ultimately, we create a culture where learning thrives, people are safe, and we mirror the qualities of world citizenry.

Lone Star College faculty are dedicated to four qualities of excellence:

• Student Invested
• Content Expert
• Pedagogically Excellent
• Institutionally Dedicated

Lone Star College-University Park

Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For® institution by the Chronicle of Higher Education.

LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College.

Established in 2012, Lone Star College-University Park has been recognized nationally and internationally for its innovation, as well as its focus on student access and success. Conveniently located off SH 249 in the heart of northwest Houston, Lone Star College-University Park is known as the "community's college," providing students with highly affordable degree and certificate programs that transfer seamlessly to four-year universities or lead to direct employment. Campus facilities include the Center for Science & Innovation, the Energy & Manufacturing Institute, Learning Innovation Labs and the Geology Rock Wall.

Location address is 20515 SH 249 (TX 249 and Louetta Road), Houston, TX 77070.

PURPOSE AND SCOPE:

It is the responsibility of the teaching faculty to provide the learning activities and support that will lead to the achievement of the course objectives and contribute to the educational environment of the college and the community. Primary responsibilities are to plan, develop and teach courses within the curriculum in a manner that facilitates student learning.

Adjunct faculty are hired in a part-time capacity on a semester-by-semester basis, contingent upon the needs of the System. Lone Star College accepts application material year-round from qualified applicants willing to teach on a part-time basis. Adjunct (part-time) faculty hiring is based on student demand. We offer day, evening, and weekend classes. Classes are offered at various times and locations during the academic year. As a rule, adjunct faculty may teach a maximum of five classes per academic year.

ESSENTIAL JOB FUNCTIONS:

1. Teaches Data Analytics courses at a variety of times and locations
2. Creates engaging lessons that promote student involvement and application of the material.
3. Submits required college reports and forms in a timely manner
4. Utilizes a course syllabus for each course, following established institutional guidelines
5. Meets with and advises students either before or after class or by appointment, electronic communication, or other appropriate methods
6. Evaluates students to measure their progress in achieving course objectives and informs students in a timely manner of their progress
7. Maintains professional relationships with students, colleagues, and the community
8. Attends meetings, trainings, and orientations as required
9. Responsible for other reasonable, related duties as assigned

KNOWLEDGE, SKILLS, AND ABILITIES:

• Mastery of course content
• Demonstrated leadership skills; Style that emphasizes collaboration, teamwork, and facilitation
• Excellent oral and written communication skills and interpersonal skills
• Ability to appreciate alternative viewpoints; Ability to work effectively with a wide variety of people
• Demonstrates interest in interdisciplinary teaching, service learning, learning technologies, course development, and adult learning methodologies including collaborative learning, learning communities and distance learning
• Commitment to academic excellence, exceptional service and providing a dynamic climate for life-long learning
• Demonstrated ability to develop and implement instructional approaches such as service learning/civic engagement, learning communities, and the effective use of technology
• Ability to use effective strategies to engage students in their learning

PHYSICAL ABILITIES:

The work is sedentary. Typically, the employee sits comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items, such as papers, books, or small parts; or driving an automobile. No special physical demands are required to perform the work.

WORK SCHEDULE AND CONDITIONS:

• Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone and other general office equipment, and any specialized equipment standard within the discipline/industry
• Interface with internal and external contacts as needed to carry out the functions of the position
• Work is performed in a climate-controlled classroom and/or lab environment with minimal exposure to safety hazards
• Hours will vary depending on class time; Instructors are required to meet with classes at all scheduled times and be available to students outside of class instruction

REQUIRED QUALIFICATIONS:

• Associate degree in data analytics, computer science, computer information systems, computer information technology, computer engineering, computer-based information systems or business/computer related field (e.g., computer management, decision engineering, or electrical engineering), and either 3 years nonteaching work experience in the field or industry certification(s) OR Master's degree with 18 graduate hours in a specific area of technology

$53.82 per contact hour.

By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment, excellent work/life balance, tuition waiver, participation in a tax deferred retirement plan, professional development opportunities and more.

Go to the Job Search page, click on ‘My Activities’ at the top of the page. Under My Cover Letters and Attachments you will click on ‘Add Attachment.’ Please be sure to put the Job ID# in the title once you name your file for cover letters only, unless you attached your cover letter with your resume.

If you are applying for an Instructional position (i.e. Faculty, Adjunct Faculty, Instructor), please ensure you include the following to be considered: Resume/CV, Cover Letter, Teaching Philosophy, and unofficial transcripts.

You must limit your file name for any attachment to 40 characters or less.

ALL APPLICANTS MUST APPLY ONLINE ONLY

We will not accept application material received via fax, email, mail, or hand delivered.

Postings for part-time and adjunct positions are active for the academic year. By selecting the option to receive notifications on your profile, you will begin receiving electronic communication regarding new opportunities with Lone Star College (LSC).

If selected for an interview, a recruiter will contact you by phone, or email to schedule an interview.

Lone Star College participates in the E-Verify program, under which Lone Star College provides the federal government with information from each new employee's Form I-9 to confirm that the employee is authorized to work in the United States.

More information on the E-Verify program is available at .

Lone Star College is an EEO Employer. All positions are subject to a criminal background check.

Job Description

This position does not offer visa sponsorship. Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

POSITION PURPOSE:

The data analytics engineer is responsible for the development and implementation of data solutions within our Azure, D365, and Fabric environment. This resource will play a crucial role in extracting, transforming, and loading (ETL) data, and developing reporting solutions to drive ICM’s operations. Additionally, this resource must be able to perform technical/analytical work, providing insight into the efficiency and functionality of company systems. The individual must maintain a comprehensive understanding of relational database concepts, table design and structure and this knowledge should be translated and applied to the data based on business needs.

ESSENTIAL FUNCTIONS AND BASIC DUTIES:

Data Engineering

• Design, develop, and maintain robust data pipelines using Fabric Data Factory or Visual Studio SSIS.
• Ingest, clean, and transform data from various sources, including AX2012 and D365, into a suitable format for analysis.
• Write complex SQL queries to extract, manipulate, and analyze data from relational data sources.
• Participate in data conversion planning, design, development, testing and implementing.

Data Modeling

• Design, develop and implement data models, including dimensional and star schemas, to support business intelligence and analytics.
• Create data marts and data warehouses to store and standardize data for analysis.

Data Analysis and Reporting

• Utilize advanced analytics techniques, to extract valuable insights from data.
• Leverage SQL to perform data exploration, analysis, and report engineering.
• Develop interactive dashboards and reports using Power BI, SAP BOBJ or other visualization tools to communicate findings effectively to stakeholders.
• Review, interpret, and update existing reports.
• Provide troubleshooting, break/fix support, and SQL query optimization of existing reports and development of new requests.
• Ability to assist with data validation and auditing.
• Provide recommendations to address existing/future risk in business intelligence infrastructure.
• Ensure compatibility and interoperability across on-premises and cloud-based computing systems.

Cloud Technologies

• Leverage cloud technologies, including Azure Data Lake Storage, One Lake, and MS FABRIC, to build scalable and reliable data solutions.
• Utilize Spark on MS FABRIC to perform big data processing and analysis tasks.

Collaboration and Communication

• Collaborate with business systems analysts and other team members to understand business requirements and translate them into technical requirements and solutions.
• Communicate complex technical concepts to both technical and non-technical audiences.
• Maintain data documentation and ensure quality and accuracy.

Education/Certification:

• Bachelor Degree in Computer Science (or related field) required, or equivalent training and/or on-the-job experience.

Required Knowledge & Experience:

• 7+ years developing reports preferred
• 5+ years working with SQL preferred
• 3+ years working with SSRS/SSIS preferred
• 3+ years experience with data warehousing and ETL processes preferred
• Strong proficiency in SQL, Python and M programming languages
• Experience with data visualization tools like SAP BOBJ, Power BI, Tableau
• Knowledge of cloud computing platforms, specifically Azure
• Experience integrating with ERP platforms (i.e., Microsoft D365, AX2012, GP, NAV) preferred
• Experience managing SQL servers, maintenance plans, alerting preferred
• Experience working in a team-oriented, collaborative environment
• Extensive experience with Microsoft 365 products

Skills/Abilities:

• Excellent analytical, mathematical, and creative problem-solving skills
• Ability to effectively prioritize and execute tasks in a high-pressure environment
• Ability to communicate ideas in both technical and user-friendly language
• Ability to conduct research into systems issues and products as required
• Highly self-motivated and efficient
• Detail oriented

Job Description

Overview:

MojoTech, established in 2008, is an innovative digital consulting company that integrates strategy, design, and engineering to create results-driven digital products and experiences for clients nationwide.

What we do: 

We partner with our clients to discover, define, design, and build tomorrow’s innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.  We work with a diverse client base, ranging from rapidly growing startups to established enterprises, helping them accelerate their pace of change and solve their biggest technology challenge

Role Overview: 

As a Data & Analytics Engineer with MojoTech you will work with our clients to solve complex problems and to deliver high quality solutions as part of a team. Collaborating with product managers, designers, and clients, you will lead discussions to define data requirements and deliver actionable insights and data pipelines to support client analytics needs. Your experience and level of confidence in decision making and the quality of your work ensure commitment to MojoTech's engineering excellence.

Things we’re looking for:

• 3+ years of experience in Data Engineering, Data Science, Data Warehousing
• Strong experience in Python
• Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics systems
• BA/BS in Computer Science, Data Science, Engineering, or a related field or equivalent experience in data engineering or analytics
• Track record of developing and optimizing scalable data solutions and larger-scale data initiatives
• Strong understanding of best practices in data management, including sustainment, governance, and compliance with data quality and security standards
• Commitment to continuous learning and sharing knowledge with the team

Should also be able to check off some of this:

• Experience developing solutions using LLMs (RAG, Agents, etc.)
• Exposure to big data technologies like Hadoop, Kafka, or Flink for handling large-scale data processing.
• Experience with data visualization tools such as Tableau, Power BI, or Looker to communicate insights effectively.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) or statistical analysis for predictive analytics.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes in a data engineering context.
• Understanding of DevOps practices, including CI/CD pipelines and version control systems (e.g., Git).
• Previous work with real-time data streaming or event-driven architectures.
• Comfort collaborating with cross-functional teams, including data scientists, analysts, and software engineers.
• Experience one or more of the following: Palantir, Databricks, Snowflake, Apache Spark, Airflow, AWS Redshift, AWS Glue, Google BigQuery, Google Dataflow, PowerBI, etc.
• Exposure to leadership or mentorship roles, particularly on a development team
• Experience working in an agency, as a software consultant, or tailoring solutions to match client requirements and capability
• Strong communication skills to articulate technical concepts to technical and non-technical stakeholders
• Experience mentoring team members or leading small projects is a plus
• Located in RI, MA, CT, NY, NJ, NC, SC, FL, CO, CA, UT, OR, PA, TN, OH

Benefits:

• Base salary $90-150k, determined by experience, skills, and location
• Performance based end of year bonus
• Medical, Dental, FSA
• 401k with 4% match
• Trust-based time off
• Catered lunches when in office
• 5 hours per week dedicated to self-directed learning, innovation projects, or skill development
• Dog Friendly Offices
• Remote or in office (offices in Boulder, CO and Providence, RI)
• Paid conference attendance/yearly education stipend
• Custom workstation
• 6 weeks parental leave

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Job Description

Who we are

OnMed’s purpose is to improve the quality of life and sense of wellbeing in communities by transforming how people access care. OnMed is defining a new standard in healthcare—combining the scalability of telehealth with the comprehensive diagnostics of one-to-one care. The OnMed CareStation, an 8x11 Clinic-in-a-Box, delivers real-time, personalized support where and when it’s needed most. This is a groundbreaking healthcare company redefining access, making high-quality care available to everyone, everywhere.

Who you are

You are a top-notch Data Analytics Engineer with deep expertise in Databricks, Azure, and Analytics, capable of solving complex technology issues and driving OnMed’s information management and systems/data integration capabilities. You thrive in environments where innovation and agility are key, and you’re passionate about using technology and data to expand access to quality healthcare.

Job Duties & Responsibilities

• Design, develop, and maintain data integration solutions using Databricks and Azure cloud solutions, including Azure Data Factory and Azure API Management.
• Own the Databricks environment – across information management and integration capabilities.
• Information Management: Collaborate with developers, engineers, and organizational leaders to design and develop the databricks environment optimization, governance, ongoing performance monitoring, and identify opportunities for process improvements based on data analytics.
• Integration: This role supports the integration architecture of the organization in tandem with the design, development, optimization, and ongoing performance monitoring of interfaces and integration touchpoints.
• Collaborate with cross-functional teams to understand data requirements, provide best practices and deliver efficient data integration solutions.
• Develop and optimize necessary SQL queries to support data integration and transformation processes.
• Implement and manage data pipelines, ensuring data quality, consistency, and reliability.
• Own data analytics by creating reports for executive leadership and synthesizing data to communicate and/or present key insights. Analyze data to ensure data quality, consistency, reliability, and proactively identify any gaps or quality issues with data.
• Monitor and troubleshoot data integration workflows to ensure seamless operation.
• Document data integration processes and provide technical support to stakeholders.
• Stay updated with the latest trends and best practices in data integration, Databricks, and Azure technologies.
• Perform other related role's responsibilities as assigned.

Requirements

Knowledge, Skills & Abilities

• Proven and deep experience in data and integration management, having played a role as a Data Engineer in the past.
• 2+ years of experience with Agile engineering practices.
• Ability to see the big picture and service as the integration architect in tandem with granular design and development – macro- and micro-level execution.
• Deep knowledge of SQL and experience with complex query optimization.
• Proficiency in Python.
• Excellent understanding of Azure services and architecture.
• Experience with data modeling, ETL processes.
• Experience working with Databricks or other cloud-based data warehouses.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Familiarity with data governance and security best practices.
• Data analysis & storytelling: ability to interpret data and provide business recommendations.

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• At least 3-5 years of relevant professional experience as a Data Engineer with analytics background.
• Technical Skills Required: Databricks, Python and SQL.
• Technical Skills Nice-to-Have: Azure or AWS (experience solving big data problems), C# and PySpark.
• Experience working with AI tools highly desirable.
• Experience working with healthcare data or in the healthcare industry is a plus.

Benefits

Why work with us?

This is an exciting and vibrant time to join OnMed for our next growth phase. You’ll have the opportunity to collaborate with a high-performing team, driven by our shared momentum and the meaningful impact we’re creating together. OnMed provides a competitive total rewards package, including comprehensive healthcare benefits, unlimited PTO, and paid holidays.

The base salary range for this role is $140,000 - $160,000 commensurate with the candidate's experience.

OnMed is a proud equal opportunity employer. All qualified applicants will be considered without regard to race, color, creed, religion, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, age, marital status, veteran status, or any other category protected by law.

#LI-HYBRID

Job Description

Amida Technology Solutions is a DC-based technology company focused on data interoperability, integrity, governance, and security. We create solutions that collect, reconcile, transform, and standardize data for business intelligence, advanced analytics, decision support, and user transactions. We specialize in taking data from inception to impact.

Our team is composed of creative, forward-looking thinkers who are passionate about using cutting-edge technology to improve lives and generate a positive impact on our country. We offer an entrepreneurial, high-growth environment that values fresh ideas, candid conversations, and authentic teamwork.

Amida Technology Solutions is seeking a Data Analytics Manager to join our team. The ideal candidate will be motivated by the opportunity to support public agencies, nonprofit organizations, and private companies in transforming their data into actionable insights.

What you will do:

The Data Analytics Manager will oversee a team of data analysts and work closely with business leaders to translate complex data into clear insights. You will be responsible for managing the company's data analysis processes, creating data-driven strategies, and presenting actionable recommendations that will influence key business decisions. This position requires a balance of technical expertise and strategic thinking to manage large datasets, improve processes, and communicate insights effectively to senior management and cross-functional teams.

Key Responsibilities:

• Leadership & Team Management :
  • Foster a collaborative team environment, promoting continuous learning and improvement.
  • Supervise and facilitate cross-company and cross-disciplinary task assignments
  • Track progress and ensure alignment with organizational priorities and strategic objectives
• Data Analysis & Insights :
  • Oversee the collection, cleaning, analysis, and presentation of large and complex datasets
  • Develop and implement advanced data models, predictive models, and data visualizations to support decision-making across various departments
  • Provide actionable insights to senior leadership and other teams to improve business processes, optimize performance, and enhance customer experience
  • Conduct ad hoc analyses and produce reports to support cross-functional initiatives and strategic projects
• Data Strategy & Reporting :
  • Develop and implement a data analytics strategy aligned with the company's business objectives and priorities
  • Create and deliver regular reports, dashboards, and presentations to executive leadership with a focus on key performance indicators (KPIs) and business outcomes
  • Ensure accurate, timely, and insightful reporting that supports the business' goals and strategy
  • Continuously monitor industry data and analytics trends to maintain a competitive edge and ensure the company is leveraging the best practices and tools available
• Process Improvement & Optimization :
  • Identify opportunities to improve data collection processes, automate reporting, and streamline workflows to enhance operational efficiency
  • Collaborate with IT and other departments to implement improvements in data infrastructure, reporting tools, and data governance
• Collaboration & Communication:
  • Work closely with other departments (e.g., marketing, finance, sales, operations) to understand their data needs and deliver customized analysis to support their objectives.
  • Communicate complex data insights and analyses in a clear, actionable manner to non-technical stakeholders
  • Collaborate with senior leadership and stakeholders to prioritize data initiatives that support strategic business objectives
• Data Governance & Quality:
  • Ensure the integrity and accuracy of data used for analysis by implementing and overseeing data governance processes and protocols
  • Maintain a high standard of data quality, ensuring data is reliable, complete, and actionable
  • Monitor data usage and work to ensure compliance with privacy regulations and internal data governance policies

Required Education:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field; Master's degree is a plus, and a doctorate in computer science, math, electrical and computer engineering, or a related STEM subject area would be ideal

Required Experience:

• 5+ years of experience in data analytics, business intelligence, or a related field, with at least 2-3 years in a managerial or leadership role

Required Skills:

• Proven experience in data analysis, reporting, and developing insights that influence business decisions
• Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker) and advanced Excel skills
• Experience with statistical analysis tools and programming languages (e.g., Python, R, SQL, SAS) is highly preferred
• Knowledge of databases and data warehousing principles (e.g., SQL, ETL processes, Big Data platforms)
• Strong analytical and problem-solving skills, with the ability to turn complex data into clear, actionable insights
• Excellent leadership, communication, and interpersonal skills, with the ability to manage a team and collaborate with cross-functional teams
• Ability to work in a fast-paced environment, prioritize tasks, and handle multiple projects simultaneously
• Experience in developing and presenting executive-level reports and presentations
• Knowledge of business metrics and KPIs, with demonstrated experience applying these to practical use cases
• Other duties as assigned

Preferred:

• Data Science or Analytics-related certifications (e.g., Google Data Analytics, Microsoft Certified: Data Analyst Associate, or others)
• Experience in graph modeling, graph databases, and graph-based analytics
• Experience in Apache Spark and cloud services based on Apache Spark such as Azure Databricks

Success at Amida

Communication is the key to success at Amida. Our people are known for their can-do attitude and their ability to work effectively with both internal and client teams. We pride ourselves on having a collegial, multidisciplinary team with diverse backgrounds and experience. Our best team members pay intense attention to detail in all aspects of their work, have great initiative, are opinionated about the best ways of doing things, and align quickly to decisions. A sense of humor is an asset at Amida.

Full-time, regular employees at Amida enjoy a robust benefits package that includes a generous 401(k) match with immediate vesting, 4 weeks of PTO, paid parental leave, medical insurance, dental insurance, vision insurance, life AD&D insurance, and short-term disability. We also offer tuition/training assistance and team building opportunities to encourage professional growth and collaboration.

All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Job Description

Overview

At Community Financial System, Inc. (CFSI), we are dedicated to providing our customers with friendly, personalized, high-quality financial services and products. Our retail division, Community Bank, N.A., operates more than 200 customer facilities across Upstate New York, Northeastern Pennsylvania, Vermont and Western Massachusetts. Beyond retail banking, we also offer commercial banking, wealth management, investment management, insurance and risk management, and benefit plan administration.

Just as our employees are committed to helping our customers manage their finances, we’re committed to our employees. After all, they make it happen for our customers every day.

To ensure our people can enjoy long and successful careers here at CFSI, we offer competitive compensation, great benefits, and professional development and advancement opportunities. As an equal-opportunity workplace and affirmative-action employer, we celebrate and support a diverse workplace for the benefit of all: our employees, customers and communities.

Responsibilities

We're seeking a data-driven Marketing Data Analyst to join our Data Analytics team, focusing exclusively on marketing initiatives. This role combines technical expertise with strategic marketing insights to drive data-informed decision-making across our marketing organization. You'll report to the Associate Director of Data Analytics while being embedded with the Marketing team for day-to-day collaboration. Experience with comparable technologies to our stack is welcome.

Essential Duties:

• Build and maintain data models in Snowflake to power marketing analytics and Microsoft Dynamics 365 Customer Insights.
• Serve as a key resource for Microsoft Dynamics 365 Customer Insights, creating and optimizing customer journeys, campaigns, and segments directly within the platform.
• Extract, segment, and analyze data using Microsoft Dynamics 365 and Customer Insights to measure marketing effectiveness and optimize campaigns.
• Develop and maintain Power BI dashboards and visualizations, working collaboratively with stakeholders to define KPIs and monitor campaign performance.
• Partner with Marketing teams to design data-driven customer journeys, personalization strategies, and targeted campaigns within Dynamics Customer Insights.
• Perform complex SQL querying and dataset creation; proficiency in dbt for dataset modeling and transformation is highly preferred.
• Apply statistical analysis and predictive modeling techniques to enhance marketing performance and customer targeting when applicable.
• Support data integration and cleansing from multiple sources, including CRM platforms and other external marketing data.
• Utilize metadata management and data cataloging tools such as Alation to ensure compliance with data governance standards.
• Implement data quality checks, resolve inconsistencies, and maintain documentation to ensure reliable marketing analytics.
• Identify and document data gaps, inconsistencies, or quality issues and work with stakeholders to implement resolution strategies.
• Translate business requirements into effective data-driven marketing strategies and reporting solutions.
• Provide clear communication regarding data and performance insights, proposing actionable solutions for continuous improvement.
• Leverage internal data sources to ideate and develop data-driven strategies that enhance targeted marketing efforts, leveraging available customer and campaign data to improve precision and performance.
• Design and automate processes and queries for maximum efficiency and scalability.
• Contribute to data governance standards and promote self-service analytics capabilities across the marketing organization.
• Understand and utilize available tools and databases efficiently to deliver accurate data requirements.

Ancillary Duties:

As an integral member of the Data & Analytics Department, this position is responsible to provide assistance wherever necessary to help the department and the bank in achieving their goals.

Qualifications

Education, Training and Requirements:

• Bachelor’s Degree in Computer Science, Information Systems, Marketing, Business, Accounting or other related field or related field.
• All applicants must be 18 years old or older

Skills:

Deep proficiency in Microsoft Dynamics 365 Customer Insights for creating journeys, campaigns, and segments. Strong SQL querying skills (MS SQL, Oracle, MySQL, Teradata). Experience with Power BI, Snowflake, and dbt for data modeling preferred. Understanding of machine learning and data science concepts. Experience with Dataiku or similar analytical platforms preferred. Exceptional analytical and problem-solving abilities. Excellent verbal and written communication skills in technical and user-friendly manner. Ability to collaborate effectively in a cross-functional team environment.

Experience:

• Minimum 5+ years of proven experience in data analysis or marketing analyst, specifically in the sales and marketing domain. Banking experience preferred. Hands-on experience with customer data platforms, particularly creating and managing customer journeys, campaigns, and segmentation strategies.

Consulting Director, Data Analytics & Visualization page is loadedConsulting Director, Data Analytics & Visualization Apply locations Milwaukee, Wisconsin time type Full time posted on Posted 2 Days Ago job requisition id R00026700

ERM is seeking a Consulting Director, Data Analytics & Visualization, to add to our Data Services team. The ideal candidate will be self-motivated, detail-oriented, organized, client-focused and interested in a career involving data management and data governance.

In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions. Your knowledge of data governance frameworks, market available technologies, and relevant digital solutions will be key to solving data management challenges our clients face.

You will also demonstrate significant expertise in leading development and implementation of:

• Data management frameworks
• Data related imperatives like quality, privacy, security, localization
• Business and process mapping
• Data and digital initiatives
• Innovation and design thinking
• Emerging technologies
• EHS and ESG data management software packages
• Global EHS, Sustainability, Climate Change, and ESG trends

RESPONSIBILITIES :

• Manage large scale projects communicating with clients and internal project teams.
• Develop and maintain successful relationships with clients, ERM employees, and subcontractors.
• Perform and manage multiple tasks within scope/budget/schedule expectations and ensure quality standards on project deliverables.
• Consult our clients on data readiness topics related to EHS and ESG functions, leading to building of data strategies, data readiness roadmaps, and data governance programs.
• Enable our clients on their journey to building data-driven, data-first cultures in EHS and ESG programs and align stakeholders.
• Design data foundation for information management in the areas of data collection, data storage, data mapping, reporting, and visualization.
• Collaborate with our clients in developing and/or maintaining data quality standards, data quality performance indicators, data catalogues and inventories.
• Define client needs and evaluate available market solutions for data and information management.
• Define and deliver data lineage and data life cycle management programs and projects.
• Facilitate management of change issues with the adoption of new information systems.
• Manage and lead members of a growing team.

REQUIREMENTS :

• Bachelor of Arts/Bachelor of Science degree in a relevant field such as Environmental Science, Environmental Health & Safety, Sustainability, Management Information Systems, Information Technology, Computer Science.
• 8+ years (10+ years preferred) of experience in a data management/governance role.
• Experience in the Environmental Consulting or Management Consulting industries.
• Knowledge of data management frameworks like DAMA DMBOK, EDM DCAM, and/or CDMC.
• Proven experience with at least one of the major software platforms listed below.
• Proven experience successfully developing and delivering complex data projects and programs.
• Strong ability to continually analyze data at all stages for problems, logic, and consistency.
• Ability to manage and readjust workload to meet changing deadlines.
• Strong organizational and communication skills.

PREFERENCES:

• Certified Data Management Professional (CDMP) certification.
• Experience with data governance platforms such as Alation, Erwin, etc.
• Experience with data catalog platforms from data.world, Collibra, etc.
• Experience leading in person and virtual workshops with the use of online whiteboarding tools, Miro as the preferred platform.
• Experience with environmental data management systems like EarthSoft’s EQuIS, acQuire’s EnviroSys, EHS Data’s Monitor Pro, Locus Technologies’ Locus EIM, etc.
• Experience with or knowledge of EHS&S software packages like Enablon, Intelex, Cority, Sphera, SAP, etc.
• Experience with or knowledge of visualization tools like Power BI, Tableau, ArcGIS, etc.
• Experience with or knowledge of management methodologies such as Lean Six Sigma, Waterfall, Agile, etc.
• Experience with project management.

For the Consulting Director, Data Analytics & Visualization (Director Level) position, we anticipate the annual base pay of $143,236 – $161,754 (USD). An employee’s pay position within this range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs. We also may have instances where employee’s fall outside of the range based on the factors noted above.This jobmay be eligible for bonus pay (casual and fixed term/flex force employees are NOT bonus eligible).

We offer a comprehensive package of benefits including paid time off, paid parental leave, medical, dental, vision, life, disability and AD&D insurance, 401(k) or RRSP/DPSP, and any other benefits to eligible employees as applicable.

You can apply for this role through or through the internal careers portal if you are a current employee.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

Who We Are:

As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations.

At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level.

Please submit your resume and brief cover letter.

ERM does not accept recruiting agency resumes. Please do not forward resumes to our job's alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes.

ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Thank you for your interest in ERM!

#LI-JR1

#LI-Hybrid

At ERM, sustainability is our business.

We are the world’s largest advisory firm focused solely on sustainability, offering unparalleled expertise across business and finance.

ERM partners with clients to operationalize sustainability at pace and scale, through our unique combination of strategic transformation and technical delivery capabilities.

Our diverse global team of experts works with the world’s leading organizations to help them set clear sustainability targets, measure progress and operationalize strategy through deep implementation and business transformation.

With more than 50 years of experience, our ability to integrate sustainability solutions and our depth and breadth of technical knowledge are why organizations choose to partner with us as their trusted advisor.

Every one of us firmly believes in the potential to create value for our clients through an integrated approach to sustainability (because we have personally seen it and professionally achieved it).

Our team members are passionate about client service. We work closely with our clients to help them operationalize their sustainability goals and meet their environmental, health and safety objectives while advancing ERM’s purpose through delivering tangible progress in what the United Nations coined The Decade of Action.

Organizing our people across globally integrated communities of technical and strategic talent positions ERM to be a “boots to boardroom” leader in bringing that value creation to our clients, partners, and the world.

We recruit exceptional professionals with a personal and professional passion for sustainability and nurture them to even greater success as specialists. We prepare our consultants to bring integrated, innovative and sustainable solutions to our clients and provide opportunities for ongoing development across a variety of subject areas related to technical, business, and personal growth.

At ERM, effort pays off and becomes career defining work that leaves a positive imprint on our planet.

Who we are

Plaster Group is a business and technology consulting company. We are looking to hire a Senior Consultant with experience and passion for data and analytics to provide client solutions. They will be responsible for working closely with clients through the entire systems lifecycle, from requirements gathering through implementation of solutions. Ideal candidates should have a proven background managing data initiatives and collaborating with business and technical teams.

Our consultants are thought partners who seek challenging and interesting engagements. We work with integrity and strive to do the right thing. We prioritize our clients’ best outcomes while showing compassion and empathy in all of our interactions. We create strong relationships with our clients and with one another. Join our team and create impactful solutions.

Responsibilities / Activities

• Drive data driven decisions to create products and programs.
  
• Demonstrate credibility as an IT partner to ensure business and technology decisions are reached to support business goals and objectives.
  
• Ability to drive solutions to support data initiatives and make versus buy decisions.
  
• Represent the business unit, department, or functional area on cross-functional project teams.
  
• Communicate roadmap, strategic decisions, and results to appropriate parties.
  
• Identify issues and resolve or escalate as appropriate.
  
• Gather, organize, analyze, and report information to improve profitability, reduce costs, and streamline operational processes.
  
• Engage in effective ongoing communication with project leaders.
  
• Track progress towards achievement of project goals.
  
• Facilitate meetings, assignments, and deadlines with key managers, business, and technical resources.

Required Qualifications

• Experience with data and analytics technologies and platforms.
• Bachelor’s degree in computer science or related field.
  
• Must be physically located in the Greater Seattle area.
  
• Minimum of 10 years relevant work experience in analytics, data architecture, data migration, solution/enterprise architecture, and systems integration.
  
• Ability to organize large volumes of data for compilation, analysis, and retrieval.
  
• Data governance experience a must.
  
• Demonstrated ability to command the attention and respect of senior level leaders and confidently present to various organizations and teams.
  
• Excellent verbal, written communication, and interpersonal skills.
  
• Strong critical thinking skills.
  
• Enterprise experience with cloud platforms.
• Knowledge of all phases of the project lifecycle, including planning, design, development, testing, implementation, documentation, training, and closure.
• Experience with complex projects from conception to completion with limited guidance.
• Knowledge of concepts, techniques, and tools relating to coordinating and tracking projects.
• Criminal background check required for all employees.

P referred Skills

• Previous experience with data migration and data warehousing.
• Relevant industry certifications are a plus.

Compensation

The annual salary range for this position is from $140,000 - $170,000 depending on overall skillset and experience.

Benefits

Plaster Group, LLC is proud to offer a robust benefits package to support the well-being of its employees and their families. Our benefits package includes the following:

• 100% matching of 401k contributions up to 3% of employee’s salary when youcontribute up to 3% of your salary. No wait period, and fully vested uponinitial contribution.

• Eligible for annualbonus on hire date anniversary.
• 100% employer-paidpremiums for medical, vision, and dental coverage for employees andeligible family members.
• 100% employer-paidpremiums for Life, AD&D, short term, and long-term disabilityinsurance for employees.
• Employer contributedHRA (Healthcare Reimbursement Account) with preloaded funds for healthcareexpenses. Employees may also contribute towards their healthcare spendingusing pretax dollars via FSA (Flexible Spending Account).
• Dependent Care FlexibleSpending program.
• Generous time off of 4weeks, accrued annually.
• 10 paid holidays, whichincludes 1 floating holiday.
• Annual Training &Development reimbursement program, plus an additional 16 hours of trainingtime.
• Annual Health &Wellness reimbursement program.
• Monthly technologyallowance automatically added to your paycheck.
• Employee AssistanceProgram, with 4 free counseling sessions.

Equal Employment Opportunity

Plaster Group is an equal opportunity employer and committed to a culture of inclusion and diversity. We do not discriminate against a job applicant or an employee on the basis of race, color, religion, sex (including pregnancy, transgender status, and sexual orientation), national origin, age (40 or older), disability, genetic information or protected veteran status.

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Grant Thornton, and Latham & Watkins, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform.

Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.

As a Staff Designer, Data Visualization you will lead design efforts for our most ambitious new product: Laurel’s Data Product. You will translate data visualizations and analysis, user research, and product strategy into clear, compelling visual stories. You’ll own the end-to-end design process, from discovery to delivery, and collaborate with PMs, data scientists, and engineers to ship beautiful, production-grade data interfaces.

We’re especially interested in candidates who thrive in early-stage environments and love designing for complex systems, and who bring a keen eye for data storytelling.

1. Data Visualization & Design

   • Design interactive dashboards, charts, and exploratory tools that help users understand complex data insights.

   • Translate data into compelling visual narratives that enable business decision-making.

   • Design thoughtful, visually compelling data experiences within Business Intelligence (BI) tools, with an eye toward scalability and future custom front-end implementations. Develop flexible design patterns that work seamlessly across both embedded BI environments and bespoke product interfaces.

2. User-Centered Design Process

   • Conduct user research, testing, and interviews across all of Laurel’s user personas: timekeepers, billing/admin staff, and Firm Leaders.

   • Create user journeys, personas, wireframes, and prototypes across fidelity levels.

   • Validate designs through usability tests and iterate based on feedback.

3. Cross-Functional Collaboration

   • Partner with Product, Engineering, Data Scientists, Customer Experience, and Sales teams to support analytics and insights

   • Present design concepts to both internal and external stakeholders

4. Design Systems & Implementation

   • Design clear, effective data visualizations using BI tools in the near term—working within the tool's capabilities while elevating the user experience.

   • Extend Laurel’s design system with reusable patterns that support both BI-embedded workflows and future custom-built interfaces.

   • When appropriate, collaborate with engineers to implement designs using front-end technologies (e.g., React, D3).

   • Build lightweight prototypes (e.g., in Figma) to validate concepts and guide development.

• Bachelor's degree in relevant fields

• 6+ years of professional design experience designing digital products, with a strong focus on dashboards, data-heavy interfaces, or analytics tools; ideal candidates will be comfortable working with Data Analytics products

• Hands-on experience designing directly within BI tools (e.g., Thoughtspot, PowerBI, Omni) or other low-code data platforms

• Ability to navigate ambiguous problems and design across both short-term constraints and long-term product vision

• Proven track record of taking product concepts from early exploration to high-fidelity interactive prototypes

• Understanding data design principles (e.g., clarity, integrity, avoiding misleading visuals)

• Demonstrated ability to code using AI tools (e.g., ChatGPT, GitHub Copilot, Cursor) to build interactive prototypes or front-end components quickly and independently

• Familiarity with front-end development workflows (e.g., collaborating on React components or preparing dev-ready specs)

• Strong problem-solving and communication skills

• Ability to work in a fast-paced startup environment and manage multiple priorities

• Founder's experience and spike heavily on Product Design

• Experience with knowledge worker productivity tools

• Ability to write or modify front-end code (e.g., editing or assembling UI components in React, JavaScript)

• Experience designing for AI-powered tools or automated workflows

• Familiarity with modern data visualization libraries (e.g., D3.js)

• Familiarity with BI tools (e.g., Thoughtspot, PowerBI, Tableau)

• Location: This role will be hybrid-based in our San Francisco office, with at least 3 days per week. We will consider exceptionally qualified candidates based in other US-locations on a case by case basis.

• Visa Sponsorship: Unfortunately, we are unable to provide Visa Sponsorship at this time.

• To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian

• A smart, fun, collaborative, and inclusive team

• Great employee benefits, including equity and 401K

• Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team

• An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance.

If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!