214 Data Analysis jobs in the United States

Primary Skill:
Various streams of market data come from different vendors like Reuters / Bloomberg into the Treasury systems like Murex.
These market data consists of 4 different fields namely - Index, Currency, Term and Rate.
The Bank users will configure the market data w.r.t Curve definition, Term specification etc.

Secondary Skill:
Python Scripting with Numpy and Panda

Job Description:
In the Asset control team, the resource has to analyze the incoming market data in terms of their term, Curve classification, Ask/Bid rate and other meta data and flag the data in different pools in Murex.
Based on that info, he has to run different scripts (ETL / Python) and generate files in different formats. It will be then shared into different consumers like CMD Murex, IBRD Murex, IFC Murex, OneView etc.
Erroneous market data will be reported along with logs in the asset control team. The resource also has to monitor the storage of these data in Murex Database and run batches for other downstream consumption.

Salary is determined per the SF Salary Schedule .

The Information Technology Education (ITE) prepares students for careers within computer programming, network administration, computer support and other technical occupations in the information technology field. The Information Technology Education Program at Santa Fe College currently offers eight certificate programs, four Associate of Science degrees and one Bachelor of Applied Science degree.

The Information Technology Education department is seeking an onsite Adjunct Assistant Professor, Programing, Database and Analysis, the Adjunct Assistant Professor prepares and teaches a variety of coursework in information technology, and may include MS Office apps for college computing, database administration, database management, data analysis, applications development, intro to Cloud , project management, as well as other subject areas, depending on applicant's qualifications.

Adjunct Faculty are employed on a term-by-term basis and may be assigned teaching duties at any of the College's campuses housed out of Blount Hall in downtown Gainesville, Florida. Additionally, course offerings may be taught during the day or evening depending on instructor availability, or online, as well as taught using other distance learning formats. The Adjunct Assistant Professor will be expected to teach a variety of A.S and/or B.S. courses within the ITE program depending on their qualifications and availability.

• Plan, organize, and deliver information technology education instruction in didactic, laboratory and/or classroom settings to promote student success within a community college setting.
• Support and promote the college and departmental missions centered on excellence in teaching and learning through quality instruction, curriculum enhancement, and service.
• Collaborate with department chair, faculty, and peers to evaluate, revise, and develop curriculum to cultivate the mastery of course content.
• Provide students with frequent, timely assessment of and clear feedback regarding academic performance.
• Appropriately document student progress and maintain accurate records such as attendance, grading and achievement of student learning outcomes.
• Honor student confidentiality and privacy as per appropriate laws, regulations and college rules.
• Develop methods that fairly and accurately assess students' progress in achieving the stated learning outcomes/objectives.
• Maintain appropriate office hours proportionate to the instructional assignment.
• Provide service excellence through courteous, informed, accessible and professional engagement.
• Perform other duties as assigned.

Reports to: Director, Information Technology Education (ITE)

Minimum Requirements: Master's degree in a qualifying field, or master's degree with at least 18 graduate semester hours in any combination of the qualifying fields (see below), or AA or AS degree with at least 18 semester hours in qualifying field or a related field and 3 to 5 years of progressive work experience in any of the qualifying fields. Alternative academic major related to Information Technology and/or qualifying fields and 3 to 5 years of work-related experience in the field with demonstrated evidence of proficiency.

Qualifying Fields: Any academic major in Computer Science or Information Technology such as: Computer Engineering, Computer Information Systems, Computer Information Technology, Computer Science & Technology, Information Security, Information Security Management, Information Systems, Information Technology, Programming and Analysis, Security Management, Technology Management. Alternative academic majors: Business Administration, Business Management, Computer Education, Curriculum & Instruction, Decision & Information Technology, Education in Learning, Educational Technology, Information Assurance, Internet Services, Technology & Communication.

Preferred Qualifications: Mastery of the following:
Software: Visual Studios, Idle, Eclipse, Git or Git Hub or other version control software, Microsoft Project or other Project Management Software
Programming languages: SQL, Python, C based language (java, C, C++, C#)
Cloud: AWS, Azure, or Google
Database: SQL Server Management Systems, MySQL, SQLLite
Misc: Kubernetes, Docker, other Containerization skillset or knowledge

The Adjunct Assistant must have the ability to deliver a high level of interactive customer service, develop and maintain collaborative relationships throughout the organization, communicate effectively and possess proficient computer skills, including familiarity with the Microsoft Suite of Office Applications. The successful applicant must be willing to work a flexible schedule at multiple sites, as well as demonstrate the ability to work well with students, faculty and staff at all levels within a diverse, multi-cultural, collaborative environment.

FP732W

Senior Director, Financial Planning & Data Analysis

Full Time Professional

William & Mary

3L2000 School of Business - Administration

The mission of the Raymond A. Mason School of Business at William & Mary is to serve the Commonwealth, the nation, and the global community both by offering high-quality educational programs at the undergraduate, graduate, and professional levels and by creating and communicating new knowledge.

The Director, Financial Planning & Data Analysis, reporting to the Vice Dean of Finance and Administration, leads financial planning and data analysis efforts across the Raymond A. Mason School of Business (MSOB). The position is responsible for financial reporting and modeling, data analysis, and oversight of Financial Operations and Data Analytics functions, including direct supervision of the Financial Operations Manager and Data Analysts. The Director ensures alignment with Mason School of Business (MSOB) goals and the effective execution of financial and analytical strategies. The Director will oversee financial reporting including the development and tracking of the school’s budget, profit and loss (P&L) statements, financial forecasts, and other financial reporting to support strategic planning and decision-making. Additionally, the Director will oversee the generation of all financial and non-financial data across MSOB in conjunction with the Data Analysts and key stakeholders. The Director will proactively identify and implement solutions using complex data analytics tools, models, and techniques to provide insight into the financial, operating, and academic activities of the school in support of senior leadership.

• This position may require additional hours beyond the typical work week, to include occasional overnight and weekend work as needed to meet the business needs of the operation.
• May be eligible for some hybrid remote work opportunities.

No

Exempt

No, this is a continuing E&G funded position and not term-limited

12 month - Continuing

Faculty or Staff: 12 month

• Bachelor’s degree in business, finance, business analytics, or comparable education, experience, and training.
• 5-7 years of progressive experience in financial planning and analysis.
• Exceptional analytical abilities with advanced skills in financial modeling and forecasting.
• Demonstrated ability to develop and report financial data and knowledge of various methods of data extraction, data modeling techniques, and systems.
• Advanced proficiency in financial tools and software (PowerPivot, PowerQuery, Excel, Power BI, among others).
• Strong communication and presentation skills, with the ability to simplify complex data into clear, actionable insights.
• Proven leadership, management, customer service, attention to details and problem-solving skills.

• MBA or Master’s degree in accounting, finance, or information sciences.
• Finance or accounting background.
• Experience in higher education.
• Experience using Banner or Workday ERP Systems.

Hybrid (works remotely at least 1 day per week but not full-time)

Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.

Commensurate with experience.

All hiring rates are commensurate with relevant experience and considerate of internal alignment.

U17

William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program).

Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to:

06/02/2025

Yes

We will not sponsor applicants for work visas for this vacancy.

Note: A presentation will be required of all candidates that are invited for on campus interviews.

William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

EEO is the Law. Applicants can learn more about William & Mary’s status as an equal opportunity employer by viewing the “Know Your Rights” poster published by the U.S. Equal Employment Opportunity Commission. >

Job Description

At Relativity Space, we're building rockets to serve today's needs and tomorrow's breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that's just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.

Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven't been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you're in propulsion, manufacturing, software, avionics, or a corporate function, you'll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we're writing together. Now is a unique moment in time where it's early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.

About the Team:

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

You'll build the analytical backbone for rocket development - interactive data exploration tools, automated test analysis systems, and decision-making engines that turn raw telemetry into actionable engineering insights. The goal is turning weeks of manual data review into automated go/no-go decisions.

Day-to-day: Build interactive React applications for engineers to explore time-series data, compare test families, and identify performance trends. Work directly with GNC (Guidance, Navigation, Control) engineers to create specialized analysis tools for flight dynamics and control system validation. Implement automated decision algorithms that flag anomalies, generate test reports, and accelerate our test cadence from days to hours. Design APIs that surface insights from our existing data platform to power analysis workflows.

The challenge: Building analytical tools that engineers actually want to use. Interactive visualizations that handle terabytes of telemetry, automated analysis systems that make reliable go/no-go decisions, and creating family data analysis workflows that help engineers understand hardware behavior across hundreds of test runs.

Stack:

• Backend: Python, Go, Postgres
• Frontend: React, TypeScript
• Infrastructure: Kubernetes, Terraform, DBT, Spark
• Data: Iceberg, DuckDB, Redshift

About You:

• 3+ years building and shipping production software
• Strong React and modern frontend development skills
• Experience with data visualization or analytical tools
• CS/Engineering degree or equivalent experience

Nice to haves but not required:

• Time-series data experience, scientific visualization background, or aerospace/automotive testing domain knowledge.

At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.

Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.

Hiring Range:

$141,000—$180,000 USD

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Description

As a Prompt Engineer focused on Data Science and Quality Analysis, you’ll design, test, and evaluate prompts for AI systems that interact with real-world restaurant data. You’ll work cross-functionally to develop AI solutions that drive operational efficiency, improve data interpretation, and support smarter decision-making for restaurant operators.

Your work will directly shape how AI models perform in high-stakes, dynamic environments like order processing, reporting, support automation, and performance analysis.

Essential Job Functions:

• Prompt Design & Evaluation: Develop, test, and refine prompts for tasks such as text generation, question answering, data classification, and structured data extraction to optimize Voice AI performance.
• Data-Driven Analysis & Quality Measurement : Design evaluation frameworks and analyze prompt outputs using quantitative metrics, human-in-the-loop evaluation, and user feedback to identify improvement opportunities.
• Experimentation & Iteration Conduct experiments to test prompt variations, measure their business and operational impact, and iterate to enhance accuracy, consistency, and safety.
• Regression Testing & Compliance Build principled regression test suites using tools like LangFuse and Galileo to ensure prompts remain compliant and high-performing as models and use cases evolve.
• Collaboration Across Teams: Work closely with data science, product, legal, engineering, and operations teams to align prompt designs with business goals, operational workflows, and compliance requirements.
• Model Adaptation & Strategy Development prompts across multiple LLMs (GPT, LLaMA, Gemini, and Checkmate’s fine-tuned models), understanding model differences to optimize outputs effectively.
• Team Leadership & Mentorship Lead a team of analysts focused on prompt evaluation and data quality analysis, guiding prioritization, experimentation, and reporting. Collaborate with ops teams for seamless deployment and feedback loops.
• Research & Continuous Learning Stay up to date on emerging prompting techniques, LLM behaviors, evaluation frameworks, and AI safety practices to keep Checkmate’s AI solutions best-in-class.

Requirements

• Strong analytical and data science skills, with hands-on experience in Python (pandas, NumPy, scikit-learn )
• Experience designing and conducting experiments and evaluations in applied AI or NLP contexts
• Proficiency in SQL and working with relational databases (e.g. MySQL, PostgreSQL, Oracle, MS SQL)
• Good understanding of data processing, quality measurement, and testing fundamentals
• Experience leading analyst or operations teams, with strong prioritization, mentorship, and collaboration skills
• Strong problem-solving mindset with a drive to explore, optimize, and automate workflows
• Excellent communication skills for presenting insights to technical and non-technical stakeholders
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• Flexible to work US hours until at least 6 pm ET, with a strong remote setup

Preferred Qualifications

• Experience with LLM evaluation and prompt engineering workflows
• Familiarity with tools like LangFuse and Galileo for prompt evaluation and analysis
• Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools
• Familiarity with machine learning concepts and NLP workflows
• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic, Voluntary & AD&D)
• Flexible Paid Time Off
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Stock Option Plan

Job Description

Description :

As a data scientist specializing in graph analysis and algorithms, you will join a collaborative team building an entirely new graph analysis platform that, for the first time, will allow our mission customers to visualize, analyze, and traverse their expansive and complex mission data in graph format and in near-real-tim e. Your responsibilities will center around enhancing our graph data capabilities—designing, modeling, and optimizing complex graph structures and crafting performant database queries. While familiarity with Neo4j and its query language, Cypher, is beneficial, we welcome candidates with broader graph analysis experience who are eager to deepen their expertise. You may also develop and maintain data parsers using Python to support our ingestion pipelines and maintain comprehensive documentation of data models. Finally, you will work directly with mission analysts and operators to listen to their needs and address them through novel data models and graphing solutions.

Responsibilities :

• Develop and refine graph data models to accommodate new data sources and fulfill customer-driven feature requests.
• Design and optimize graph queries, with an expectation to learn and utilize Cypher for Neo4j.
• Build and maintain data parsers in Python, ensuring reliable data ingestion.
• Validate and analyze mission data to confirm accuracy, integrity, and optimal performance.
• Collaborate closely with analysts to understand and translate analytical requirements into practical graph-based solutions.
• Work alongside software developers to integrate efficient queries and data parsers into robust software components.
• Maintain clear, comprehensive documentation of graph schemas, data models, and related processes using tools such as Confluence.
• Engage directly with customers to understand operational challenges and propose effective technical solutions.

Skill Requirements:

• TS.SCI w FSP from MD
• 3 YOE w degree or 4 extra years with no degree
• Experience or interest in graph databases , such as Neo4j , with a willingness to learn specific tools like Cypher .
• Strong Python programming skills, specifically for writing and maintaining data parsing scripts.
• Proven ability to translate customer requirements into implementable data-driven solutions.
• Excellent communication and interpersonal skills for effective collaboration with diverse stakeholders.
• Strong analytical thinking and problem-solving abilities.
• Nice to Haves:
• Previous experience with Neo4j or other graph databases.
• Knowledge of TCP/IP networking concepts.
• Understanding of graph theory and algorithms.
• Familiarity with real-time data processing or streaming analytics.
• Experience with containerization technologies (Docker, Kubernetes).
• Understanding of ETL processes for large, complex datasets.
• Familiarity with SIGINT collection and analysis systems or similar mission environments

This position is 100% on-site. Applicants for positions requiring security clearance will be automatically rejected for candidates not meeting the Security Clearance requirement

Job Description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials, SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discovery or IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 

We are looking for a highly skilled Machine Learning Scientist with experience in data mining to analyze large datasets from public domain or company internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming skills. The primary objective of this role is to use AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy. 
 

Responsibilities:

• Data Mining:  Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development:  Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification:  Use AI, computational biology, and bioinformatics methods to identify protein targets of immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration:  Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with business objectives and research goals.
• Communication:  Present findings and results to both technical and non-technical audiences, including written reports, presentations, and visualizations.

Requirements:

• Master's or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.
• 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis.
• Technical Skills:
  • Proficiency in programming languages such as Python, R, or SQL. 
  • Experience with machine learning frameworks such as TensorFlow, or PyTorch.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge:  Strong understanding of clinical trial design, biostatistics, and immunotherapy principles.
• Communication Skills:  Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Nice to Have:

• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git.

Company Culture:

At SystImmune, we value innovation, collaboration, and creativity. We believe in fostering a work environment that is supportive, inclusive, and stimulating. Our team members are passionate about their work and are committed to making a positive impact on the lives of patients. SystImmune is committed to creating a diverse and inclusive work environment. Our goal is to build a team that reflects the diversity of our community and provides equal opportunities for everyone to succeed. If you share our values and are looking for a challenging and rewarding career opportunity, we encourage you to apply.

About Our Team:

Our team consists of experienced professionals from various backgrounds, including computer science, biostatistics, bioinformatics, and immunology. We work closely together to develop innovative solutions that can improve patient outcomes. If you are a motivated and talented individual who is passionate about machine learning and data analysis, we would love to hear from you.

What to Expect:

As a Machine Learning Scientist at SystImmune, you can expect to work on challenging projects that require the application of machine learning techniques to real-world problems. You will have the opportunity to collaborate with cross-functional teams, including researchers, clinicians, and data scientists. You will also have access to cutting-edge technologies and tools, as well as professional development opportunities to help you grow in your career.

Compensation and Benefits:
The expected base salary range for this position is $100,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate’s qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise align strongly with the requirements of the role.
 
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company’s success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
 
We offer an opportunity for you to learn and grow while making significant contributions to the company’s success.
 
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.
 

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Job Description

About the Role:

We are seeking a motivated and detail-oriented intern to support our aerial data acquisition and analysis operations. This position requires a current FAA Part 107 Remote Pilot Certificate , the ability to drive , travel to job sites, and perform physically demanding tasks in the field. You’ll gain valuable experience operating drones in real-world environments and assisting in data processing workflows, analysis, and reporting.

• Operate drones in compliance with FAA Part 107 regulations

• Assist with flight planning, including site research and risk assessment

• Conduct field missions for data collection with our custom Decker platform

• Perform drone equipment maintenance and troubleshooting

• Transfer and organize large datasets collected in the field

• Assist with post-processing and analysis of aerial data using tools such as Decker and DJI Software Suite.

• Maintain detailed flight logs and QA/QC documentation

• Lift and transport equipment (up to 50 pounds) as needed

• Travel to and from project sites, sometimes involving overnight stays

• Work collaboratively with team members to ensure safe, efficient field operations

• Current FAA Part 107 Remote Pilot Certificate

• Valid driver’s license and ability to drive to field locations

• Willingness to travel for fieldwork (travel may include overnights)

• Strong attention to detail and data accuracy

• Physically capable of lifting and carrying up to 50 pounds

• Comfortable working outdoors in various weather conditions

• Basic knowledge of data processing and drone workflows

• Currently pursuing or recently completed a degree in Geospatial Science, Environmental Science, Engineering, Aviation, or a related field

• Experience with drone platforms (DJI, Freefly, etc.) and mapping software (e.g., Pix4D, Global Mapper)

• CPR/First Aid certification

• Field experience in UAV data collection and processing

• Hands-on training with industry-standard software and equipment

Exposure to real-world drone operations across various industries

Job Description

Swoon is hiring!
We’re seeking a Data Analysis and Reporting professional to support the Business Performance and Analytics team of a leading organization in the financial services industry .

• Location: HYBRID – Riverwoods, IL

• Contract Duration: August 18, 2025 – May 22, 2026

In this role, you'll collaborate closely with the Business Performance and Analytics team to deliver data-driven insights and impactful reporting solutions.

JOB DESCRIPTION

• Will support the business by managing and analyzing data within Global Payment Network.  
• Knowledge of analytical tools needed to support working with data more efficiently.
• Proficient with Excel to maintain the tools currently in use. May conduct research on business data to communicate findings to relevant stakeholders.
• Needs to be knowledgeable on data visualization tools to help business tell the story.

SKILLS
Must Have

• advanced Microsoft Excel skills
• Data Visualization
• Microsoft Office Suite (esp PowerPoint, Excel)
• Microsoft SharePoint
• SQL

Nice To Have

• BI/Tableau Developer
• Confluence
• Google Suite
• JIRA
• Python or R programming

Soft Skills

• Need to have strong problem-solving abilities
• Pay attention to detail
• Strong communication skills to present findings effectively