138 Data Analytics jobs in the United States

Job Description

Job Title –Data Engineer IV
Location – Fully Remote
Contract Duration - 4-months contract (Potential to Extend)
Pay Range – $90-$95/hr. on W2, DOE

Summary:
We are seeking a highly skilled Data Engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.

Key Responsibilities:

• Design and implement data models to meet business requirements
• Build and maintain ETL pipelines to extract, transform, and load data from various sources
• Create dashboards and visualizations to communicate insights and trends to stakeholders
• Analyze data to identify areas for improvement and optimize data processes

• 8-10 years of industry experience in data engineering, with a focus on data modeling, ETL
• pipeline implementation, and dashboard/visualization building
• Proficient in SQL and Python
• Req Intake Template
• Strong understanding of data modeling concepts and data warehousing principles
• Experience with data visualization tools such as Tableau or Power BI
• Excellent analytical and problem-solving skills.

• Data modeling experience
• ETL, data processing steps
• SQL and Python and coding, and visualizations

• Success metric definitions
• Someone with ability to drive suggestions and efficiencies
• Ability work through ambiguity with XFN

Job Description

Title: Data Engineer III
Location: Remote
Pay: $70-$86/hr on W2
Contract: W2; - 6 months with possibility of extension
Client: Fortune 500 Company

Must have skills
1 Data modeling experience
2 ETL, data processing steps
3 SQL and Python and coding, and visualizations

Nice-to-have Skills
1 Success metric definitions
2 Someone with ability to drive suggestions and efficiencies
3 Ability work through ambiguity with XFN collaboration

Summary:
We are seeking a highly skilled Data Engineer to join our team and provide data engineering support for the Enterprise Solutions organization. The successful candidate will have experience in data modeling design and implementation, ETL pipeline building, metrics design and creation, and dashboard/visualization building.

Key Responsibilities:
Design and implement data models to meet business requirements
Build and maintain ETL pipelines to extract, transform, and load data from various sources
Create dashboards and visualizations to communicate insights and trends to stakeholders
Analyze data to identify areas for improvement and optimize data processes Requirements:
5-7 years of industry experience in data engineering, with a focus on data modeling, ETL pipeline implementation, and dashboard/visualization building
Proficient in SQL and Python
Strong understanding of data modeling concepts and data warehousing principles
Experience with data visualization tools such as Tableau or Power BI
Excellent analytical and problem-solving skills

Benefits Info
Russell Tobin/Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Job Description

Title: Data Analyst V
Location: New York, NY / Seattle, WA / Menlo Park, CA
Duration: 3+ Months
Pay Range: $85/Hr to $90/Hr (Depending upon Experience)

Job Description:
Our Client is looking for an experienced Data Analyst to join the Product Data Operations (PDO) team. PDO provides data and insights that power machine learning and AI at the core of all client products. We are looking for experienced professionals with a strong background in advanced data analysis, excellent communication skills, and a proven ability to build and maintain KPI dashboards.
Additionally, we seek someone who has a passion for diving deep to understand where and how there are opportunities within our processes to improve performance and reduce waste. This individual has a demonstrated ability to leverage large data sets and advanced tooling. They also will have strong analytical & investigative skills and should be comfortable with ambiguity and experimentation.

Responsibilities -
Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
Designs interconnected collections of high performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
Be a thought leader for data-informed initiatives and contribute to the team’s direction overall.
Conduct in-depth investigations leveraging large and complex data sets.
Partner with Project Managers, Data Science, Product teams to solve problems at scale.
Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
Determines success metrics that measure short and long-term progress for both goal and project performance.
Build narrative around data quality and provide insights that will help in better annotation project performance opportunities.
Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
Design and develop data solutions that help the team and leadership make data driven analytical decisions tailored to improve the business.
Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.

Minimum Qualifications -
Degree in Business Analytics, Engineering, or a related field and 5+ years of work experience in an analyst role.
Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics
Advanced Excel / Google Sheet experience
Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models
Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally
Ability to make judgments under tight deadlines and competing priorities
Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others
Experience communicating effectively via various formats, time zones and audiences, including within operations teams and across with key stakeholders and senior leadership

Job Description

FloSports leads the way in delivering world-class digital streaming for millions of fans, families, and athletes in underserved sports. Our digital platform unites casual and dedicated spectators alike, offering thrilling live events from around the world with interactive features, real-time analytics, and powerful broadcast technology. As the essential destination for niche sports content, we deliver everything from breaking news and expert commentary to feature films, documentaries, and multi-episodic series. We've revolutionized the global sports media industry by building a diverse team—technologists and wrestlers, creators and cheerleading experts, designers and hockey enthusiasts, communicators and motorsport fanatics, producers and sports fans—all united by our passion to serve underrepresented sports communities. We're creating the ultimate destination for our sports, and we're looking for people like you to join us!

THE ROLE:

FloSports is seeking a Sr. Data Analytics Engineer to join our high-impact Business Intelligence team. Our team owns company-wide reporting, analytics, and insights, our Snowflake data infrastructure, and our ML/AI models. These include our content valuation model, similar to Netflix’s adjusted view share, and our demand forecasting models that forecast critical financial KPIs, including sign ups, viewership, engagement, and customer lifetime value (LTV).

To start, this role will be critical in refactoring and enhancing our existing data infrastructure, delivering value through the introduction of new demand forecasting modules, providing as needed expertise in advancing our A/B and multivariate experiment architecture, and playing a key role in the high value action (HVA) framework and data infrastructure that we’re building and launching in 2025. The ideal candidate will have domain experience in building data infrastructure, data schemas, data modeling, ML/AI models, and ideally some background in running experiments and building HVA frameworks. Bonus points for familiarity with subscription-based DTC businesses, OTT products, and/or SVOD and live event streaming services.

RESPONSIBILITIES:

• Serve as one of our technical leads for our Snowflake data infrastructure, data schemas, data modeling, and high value action infrastructure.

• Extract, transform, and load (ETL) data from multiple sources, ensuring accuracy, integrity, and consistency.

• Perform in-depth analysis of financial and operational data, identifying trends, patterns, and anomalies to provide meaningful insights and recommendations

• Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations

• Act as a subject matter expert on internal/external data sources, ensuring anomalies are identified and addressed proactively.

• Support the data product development for demand forecasting, partnering cross-functionally across Finance, Strategic Finance, Business Intelligence, Rights Acquisitions, Ad Sales, Content, Marketing, and Vertical GMs. 

• Partner on experiment design and conduct causal analyses to provide actionable insights that inform the demand forecasting model(s) and key business decisions.

• Research, recommend, and learn new analytics tools and platforms

• Automate existing manual processes and identify areas for further improvements

• Serve as a thought leader for interactive demand forecasting dashboards that inform key stakeholders about the health drivers for historical performance and serve as a forward-looking evaluator of our programming strategy and execution.

• Passion about growing Our Sports within the sports media industry and establishing a working knowledge of the key players and their events.

KNOWLEDGE, SKILLS AND ABILITIES: 

• BA/BS in Mathematics/Statistics, Finance, Computer Science, Engineering, Operations Research, or other technical field, advanced analytics degrees preferred

• 5+ years of professional experience as a Business Intelligence Engineer, Data Engineer, Data Analyst or similar role, preferably in a SaaS or subscription-based business.

• Oversees the entire process of a data project from concept, to requirements gathering, to production ready implementation. Led projects from concept through completion

• Expert in SQL.

• Strong background in Python (Excel is a plus), including statistical modeling; experience with data visualization tools, e.g., Tableau, Looker, Domo.

• Deep understanding of statistical model building and data analyses, such as causal inference and regressions; expertise in numerical algorithms.

• Experience with experiment design, implementation, analysis, and recommendation for actionable insights.

• Strong analytical skills for problem solving; can perform descriptive and diagnostic analysis 

• Ability to work collaboratively in a fast-paced, cross-functional environment and manage multiple priorities effectively

• Ability to use data to translate ambiguous problems into actionable solutions using dataAbility to find answers to ambiguous problems 

• Comfortable working with and querying large datasets, including datasets that some might describe as “messy”.

• Experience forming effective cross-functional partnerships. 

• Analytical reasoning, intellectual curiosity, and attention to detail for maintaining code and data integrity.

• Proficiency in communication, particularly communicating complex data concepts, to both technical and non-technical audiences.

BONUS POINTS: 

• Built a large portion of a database, ideally a cloud-based database, from the ground up. 

• Experience developing demand forecasting models and/or working in demand planning functions, particularly within a SaaS, subscription, and/or e-commerce business.

• Experience with Streamlit in Snowflake for turning data and ML models into interactive apps with Python.

• Familiarity with cloud based analytics and CRM platforms (Salesforce) and data visualization tools (Domo).

OUR COMMITMENT TO DIVERSITY:

FloSports exists to elevate the communities, athletes, and sports that have too often been overlooked. That mission starts with our own team. We believe that a diverse, inclusive workplace—one where different perspectives are sought out, heard, and valued—is essential to building a company that can truly serve the full spectrum of sports fans.

We are committed to creating a fair and equitable environment where people from all backgrounds can thrive. To help mitigate bias and expand opportunity, FloSports uses a blind recruiting process that supports more objective, inclusive hiring decisions. We’re intentional in our practices because we believe the best ideas and innovations come from teams that reflect the diversity of the world around us.

OUR BENEFITS:

• Recognized three years in a row as a Top Workplace by the Austin-American Statesman

• Flexibility at work - you can take control of your profession and personal schedule

• All-hands events hosted annually in beautiful Austin, Texas

• Annual equity awards for all top performers

• Competitive and comprehensive medical, dental and vision plans

• Peace of mind through company-paid short-term disability, long-term disability and life insurance

• Generous 401(K) company match vested immediately

• Progressive parental leave policies

• Flexible paid time off

• Hack-a-thons and a full calendar of team-building and social events

• Company donation to youth teams and leagues that our employees coach

• Stocked snack bar, catered lunch and breakfast tacos every week

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

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career.

About the role:

We are looking for a Data Analytics Engineer II with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
• Protect our users' privacy and security through best practices

Technologies we use:

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airbyte, DBT, Dagster, ElasticSearch (aka OpenSearch), Looker

What you will bring to the team:

• 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
• Expertise in SQL, familiarity with Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
• Familiarity with healthcare or insurance

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $125,000-$150,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

Fraud and Security Notice:

Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at

Job Description

About Us:

At Parafin, we’re on a mission to grow small businesses.

Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on. 

We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools  to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners. 

We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $40M in debt facilities.

Join us in creating a future where every small business has the financial tools they need.

About the Position

We are looking for a Data Analytics Engineer to organize and activate Parafin’s ecosystem of data. You will be responsible for architecting business-critical datasets used across the company. You will drive alignment between teams by ensuring all of Parafin can be pointed to the same sources of truth.

What You’ll Be Doing:

• You will foster a data-driven culture by ensuring everyone has easy access to trustworthy and complete data

• You will interface between data engineering and end users to help improve our data tooling and development velocity

• You will define and enforce our data best practices - data modeling, testing, version control, and cataloging

• You will build efficient, modular, flexible, and reliable datasets that can unlock insight for stakeholders across the business — whether for analytic, machine learning, or operational purposes

• You will identify gaps in how we collect data today, and work with engineering teams to ensure we are measuring the things that we need to measure about our customers and our product

What We’re Searching For:

• 2+ years of experience in Data Analytics or similar role

• You are deeply experienced with SQL, and are able to write efficient queries

• You collaborate well with data, engineering, product, and business functions

• You care deeply about the quality and correctness of your work

• You are comfortable managing competing and shifting priorities and can organize your own work to accomplish multiple tasks

• You are excited about working on a small team and setting the foundations for how data is used at Parafin

• You have a bachelor's degree in a technical discipline

We Prefer If You Have:

• Experience building and maintaining data pipelines

• Familiarity with “modern data stack” tools and technologies, such as Databricks, Airflow, DBT, and Reverse ETL

• Experience working with both technical and non-technical stakeholders

• Experience identifying and communicating data-derived insights

What We Offer

• Salary Range: $175 - $200k

• Equity grant

• Medical, dental & vision insurance

• Unlimited PTO & work from home flexibility

• Commuter benefits

• Free lunches

• Paid parental leave

• 401(k)

• Employee assistance program

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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

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.