Data Analysis

Data Analysis Jobs

1,026 jobs found

17d ago

Data Analyst I

UnitedHealthcare Minnetonka, MN

Minnetonka, MN

17d ago

$60k - $107k/yr Full time Analyst Analytical Skills Analytics

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Job Description

UnitedHealthcare seeks a Data Analyst I to bolster the team’s ability to turn complex operational data into actionable insights and scalable analytics solutions. This hybrid role focuses on building and refining tools that support advanced analytics, including AI and ML enabled use cases, across multiple lines of business. The position requires a steady on-site presence at the 9700 building in Minnetonka, MN, averaging four days per week.

Location: Minnetonka, MN (hybrid) | Salary: USD 60,200 - 107,400 per year | Minimum experience: 1 year

Responsibilities

Aggregate data from multiple sources to build and maintain dashboards and analyses that surface insights and opportunities.
Contribute to the full analytics and data solution lifecycle, including research, proof of concepts, design, development, testing, deployment, and ongoing maintenance.
Examine operational and experience data to identify opportunities for process improvements, cost optimization, and experience enhancements across consumer, provider, and core operations.
Engage with diverse data sources such as NPS trends, consumer and provider verbatims, digital portal interactions, and key operational metrics.
Partner with cross-functional teams to define business problems and craft analytic solutions.
Utilize data storytelling techniques to communicate findings clearly to both technical and non-technical audiences.
Support team and organizational growth through knowledge sharing, collaboration, and ongoing self-development.

Requirements

At least 1 year of experience in analytics, statistics, computer science, or related analytical roles.
Hands-on experience (minimum 1 year) in data analysis, data-driven investigations, data visualization, and insight generation for operational or leadership audiences.
Experience building analytics solutions using business intelligence tools such as Power BI or Tableau, or equivalents.
Proficiency in SQL.
Proficiency in Excel and the Microsoft Office suite.
Residence in Minnesota with the ability to work in the Minnetonka office an average of four days per week.

Technologies

Power BI
Tableau
SQL
Excel
Microsoft Office tools
Snowflake
Databricks
Python

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

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17d ago

Administrative Specialist (Data Analyst)

One Federal Solution Louisville, KY

Louisville, KY

17d ago

$0k - $0k/yr Full time Administrative Administrative Support Analyst

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Job Description

The Administrative Specialist (Data Analyst) is an on-site role supporting the U.S. Marshals Service in Louisville, KY. The position involves gathering, analyzing, and interpreting sizable datasets to uncover insights that guide strategic decisions, as well as organizing and managing case files in both physical and electronic formats and supporting investigative activities. An undergraduate degree is required, and compensation is listed as USD 20 - 24 per yearly.

Responsibilities

Create and sustain organized case files in both physical and electronic formats.
Organize and manage case files across paper and digital repositories.
Assess data for completeness and proper execution of records.
Review, input, and retrieve information from the database.
Gather supplementary information from external investigative agencies and databases.
Receive petitions and claims, place them on suspense as needed, and process requests.
Resolve data inconsistencies across records and systems.
Compile information and assemble investigative packages.
Verify the accuracy of case files and case tracking records.
Prepare and reconcile investigative reports.
Handle receipt and distribution of documents, including court filings.
Support the lead analyst in collecting all documents and information needed to complete a case file.
Offer administrative information and support related to cases to external investigative agencies, local law enforcement, the U.S. Attorney, other DOJ processing units, and higher headquarters.
Extract data from agency databases to support management and program reporting.
Perform word processing tasks relevant to case documentation.
Enter data pertinent to case records.

Requirements

Undergraduate degree required.
Ability to review and analyze data and information from diverse sources.
Capability to establish case or project files in both paper and electronic formats.
Ability to input and retrieve data from databases.
Ability to prepare and format management reports.
Skill in manipulating, transferring, calculating, and printing information.
Proficiency with spreadsheet and word processing tools.
Ability to create and modify spreadsheets.
Ability to prepare and edit reports and correspondence using word processing software.
English proficiency required.

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17d ago

Sr. Data Analyst

Versant Media Orlando, FL

Orlando, FL

17d ago

Full time Senior Ai Ml Analyst

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Job Description

Versant Media seeks a Senior Data Analyst to join the AI, Modeling, and Strategy (AIMS) team in Orlando. This hybrid role focuses on sustaining and enhancing data products while building scalable analytics and AI capabilities that drive measurable value for internal stakeholders and external partners. The candidate collaborates across finance, product, pricing, marketing, and data services to translate business questions into robust analytical solutions.

Responsibilities

Design and operationalize advanced algorithms and automated analytical pipelines, covering clustering methods (k-means, hierarchical, DBSCAN, HDBSCAN), supervised learning (linear and logistic regression, decision trees, random forests, gradient boosting, XGBoost), time-series forecasting (ARIMA, Prophet, LSTM), optimization techniques, and probabilistic modeling for large, complex, and unstructured data.
Develop, refine, validate, and deploy scalable analytical and statistical models to produce actionable insights for key stakeholders.
Partner with finance, product, pricing, marketing, and data services to translate business questions into analytical solutions, productionize models using MLOps best practices, and support monitoring and maintenance of data products and models.
Cleanse, integrate, and validate data from multiple internal and external sources, applying data quality controls, feature engineering, and scalable transformation processes to ensure accuracy and readiness for analysis.
Evaluate model performance with appropriate metrics, diagnose anomalies and drift, conduct A/B testing and experiments, and define and monitor KPIs that support revenue, pricing, and growth initiatives.
Leverage modern AI and Generative AI technologies, including large language models and AI-assisted analytics tools, to streamline workflows, automate insight generation, and enhance decision-support capabilities.
Communicate analytical findings, model assumptions, and business implications to senior leadership, cross-functional teams, and external clients through clear presentations, visualizations, and documentation.

Requirements

Bachelor’s degree in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field.
At least 1 year of experience in data analytics, business intelligence, data science, or a related analytical role.
Strong SQL skills and proficiency in Python and/or R.
Experience with data visualization tools such as Tableau, Looker, or similar platforms.
Familiarity with GitHub for version control, collaborative development, code reviews, CI/CD workflows, and managing analytics and machine learning codebases.

Technologies

SQL, Python, R
Tableau, Looker
GitHub
XGBoost, Prophet, ARIMA, LSTM
Large Language Models (LLMs), MLOps

Benefits

Medical insurance
Dental insurance
Vision insurance
401(k)
Paid leave
Tuition reimbursement
Other discounts and perks

Desired Characteristics

Experience in pricing and/or marketing analytics is preferred
Familiarity with Media, News, or Entertainment content is preferred
Prior internship or work experience is preferred
Strong intellectual curiosity with excellent problem-solving and quantitative skills, including the ability to decompose complex problems, identify root causes, and propose effective solutions

Additional Requirements

Hybrid work arrangement: minimum three days per week in the Orlando, FL office; travel may be required for company or department meetings
This position is eligible for company-sponsored benefits, including medical, dental, and vision insurance; 401(k); paid leave; tuition reimbursement; and additional discounts and perks

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17d ago

Senior Data Analyst - Payments

Rippling San Francisco, CA

San Francisco, CA

17d ago

$114k - $200k/yr Full time Senior Analyst Analytics

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Job Description

Rippling’s payments platform depends on rigorous data to track money movement across the product ecosystem. The Senior Data Analyst - Payments will design, build, and maintain data services that automatically process large volumes of financial data and provide visibility into the lifecycle of payments. Based in San Francisco, CA on-site, this role supports Accounting, Finance, Biz Ops, Payments, and Product teams with accurate data for financial and product systems, with a salary range of USD 114,000 to 199,500 per year.

Responsibilities

Partner with engineering, accounting, financial partnerships, and product groups to analyze and account for billions of dollars flowing through the Rippling payments platform.
Develop end-to-end analyses using SQL, Python, and other scripting or statistical tools, and create real-time dashboards to monitor key financial and operating levers.
Track payment flows across systems, banks, processors, and inter-company accounts; perform daily reconciliations and resolve discrepancies.
Respond quickly to emerging issues, summarize findings, and provide recommendations to resolve time-sensitive financial matters.
Collaborate with stakeholders such as Accounting, Compliance, and Treasury to capture business requirements and design scalable reporting and reconciliation automation solutions, including internal tools or third-party implementations.
Create and maintain comprehensive documentation of reconciliation processes and procedures.
Provide data and reporting support for month-end close, regulatory and compliance reporting, and internal and external audits.
Present findings and recommendations to stakeholders through clear, concise presentations and reports.

Requirements

Master’s degree or Bachelor’s degree in Computer Science, Engineering, Statistics, Data Science, Economics, Mathematics, Business Analytics, or related fields.
At least four years of experience applying analytics engineering, analysis, modeling, or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
Experience with data warehousing, ETL, and reporting tools such as Snowflake, Tableau, dbt, and Dagster.
Strong SQL expertise across the full data science lifecycle, from initial analysis and model development to deployment.
Proven ability to work with engineering, finance, and accounting teams to assess data needs and build automated reporting pipelines.
Solid problem-solving and communication skills, able to convey findings and recommendations to both technical and non-technical audiences.
Ability to interact with multiple stakeholders and senior leadership across the organization.
Bonus points for experience with general accounting principles, the general ledger close process, and regulatory compliance.

Technologies

SQL
Python
Snowflake
Tableau
dbt
Dagster

Additional Information

Rippling is an equal opportunity employer committed to a diverse and inclusive workforce. The company does not discriminate based on protected characteristics and provides reasonable accommodations as needed. Rippling values in-person collaboration and expects office-based employees to be in the office at least three days per week where applicable. The role carries a competitive salary plus benefits and equity. For US-based roles, the compensation is aligned with location-specific tiers, and final offers may vary based on factors such as experience and geography.

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17d ago

Senior Data Engineer - Analytics

Everforth Bristol, PA 🇺🇸 Remote

Bristol, PA

17d ago

Full time Senior Analytics Artificial Intelligence

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Job Description

Everforth is seeking an experienced Analytics Engineer to design and implement data models, transformation pipelines, and APIs that power dashboards, machine learning features, and downstream systems. The role involves collaborating with data scientists, analysts, and engineers to standardize metrics, improve data quality, and enable self-service analytics across the organization. This position is based in Bristol, PA, with remote work options available.

Responsibilities

Architect and sustain robust ELT/ETL pipelines using dbt Core and SQL for BigQuery.
Create modular, tested SQL models and Python data transformations to support analytics, reporting, and ML feature generation.
Implement data quality controls, lineage, and observability to ensure dependable analytics outputs and adherence to SLAs.
Collaborate with product, analytics, and ML teams to define metric definitions and translate business requirements into efficient data models.
Develop and maintain RESTful APIs and integrations to surface curated datasets and features for internal and external consumers; integrate LLM APIs where applicable.
Deploy and monitor data services and lightweight API endpoints on Google Cloud Platform, leveraging Cloud Run and other serverless options as appropriate.
Optimize BigQuery workloads for performance and cost via partitioning, clustering, and query tuning.
Document data models, transformation logic, and runbooks; mentor teammates on dbt, SQL, and analytics engineering best practices.

Requirements

Minimum three years of experience in analytics engineering, data engineering, or related roles building analytics pipelines and data models.
Experience working with healthcare claims data.
Advanced SQL skills and solid Python experience for data transformation, orchestration, or testing.
Proven track record using dbt Core to build modular, tested analytics transformations and manage deployments.
Strong Google Cloud Platform experience with BigQuery, including query optimization and cost management.
Experience building and integrating APIs; familiarity with LLM APIs and incorporating large language model outputs into analytics or product workflows.
Solid understanding of data modeling concepts, ETL/ELT patterns, data quality practices, and observability.
Excellent communication skills and ability to collaborate across cross-functional teams to operationalize analytics.
Desirable: hands-on experience with Cloud Run, Vertex AI, and FastAPI for serving data or ML features; domain knowledge of healthcare claims and related data models.

Technologies

dbt Core
SQL
Python
BigQuery
Google Cloud Platform
Cloud Run
RESTful APIs
LLM APIs
Vertex AI
FastAPI

Work Authorization

United States work authorization without visa sponsorship is required for this role. This position was first posted on 07/08/2026, and applications will be accepted on an ongoing basis until the role is filled or closed.

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17d ago

Data Engineer

Booz Allen Hamilton Wharton, NJ

Wharton, NJ

17d ago

$78k - $176k/yr Full time Analytics Big Data Bigdata

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Job Description

Data Engineer role at Booz Allen Hamilton in Wharton, NJ (onsite).

Responsibilities

Design and implement data pipelines and platforms that organize disparate data to derive meaningful insights.
Contribute to advanced technology solutions and execute data engineering activities on mission-driven projects.
Collaborate with and guide a cross-functional team of analysts, data engineers, developers, and data consumers in an agile environment.
Apply analytical exploration and data examination expertise while overseeing the assessment, design, build, and ongoing maintenance of scalable data platforms for clients.

Requirements

5+ years in database management tasks, including data validation, maintenance, and optimization
5+ years developing and maintaining scripts and code for data processing and automation
3+ years designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
3+ years creating software or managing digital platforms for retrieving, parsing, and processing structured and unstructured data
3+ years building scalable ETL and ELT workflows for reporting and analytics
Experience delivering solutions within a collaborative, cross-functional team
Ability to develop scripts and programs to convert various data types into usable formats and support scaling, monitoring, and operation of data platforms
Secret clearance
Bachelor’s degree

Technologies

Python
R
SQL
Scala
Java
UNIX
Linux
Shell scripting
AWS
Microsoft Azure
Google Cloud
Power BI
Tableau
Spark
Databricks
Hadoop
Hive
AWS EMR
Kafka
MongoDB
Cassandra

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

The Opportunity

As data sources expand through IoT, machine learning, and artificial intelligence, there is more structured and unstructured data available than ever before. A data engineer helps organize this data to enable meaningful insights from disparate sources and supports mission-driven work across use cases such as fraud detection, cancer research, and national intelligence.

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Identity Verification

As part of the hiring process, you may be asked to complete an identity verification process that uses advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify identity and prevent fraud.

Candidate AI Usage Policy

AI is part of Booz Allen's daily work, and the firm is committed to responsible and ethical use of AI tools. The candidate process will be based on your skills and knowledge, and the use of AI or other tools to assist with responses during interviews is prohibited unless permission is explicitly provided.

Work Model

Remote: May require occasional in-person work at a Booz Allen or customer facility
Hybrid: Frequent in-office work at a Booz Allen facility, with possible visits to customer facilities
Onsite: Primarily performed at a Booz Allen office or customer facility, with collaboration requirements

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.

Compensation

The projected compensation range for this position is USD 77,600 to 176,000 per year, with final pay determined by location, education, experience, skills, and contract-specific requirements.

Nice If You Have

Experience with Python, R, SQL, Scala, or Java
Experience with UNIX or Linux, including basic commands and Shell scripting
Experience with a public cloud such as AWS, Azure, or Google Cloud
Experience with Power BI, Tableau, or similar analytics and visualization tools
Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
Experience working with real-time data and streaming applications
Experience with NoSQL technologies like MongoDB or Cassandra
Experience with manufacturing and supply chain data analysis, including production, procurement, inventory, logistics, supplier, and operational performance data
Experience with Agile engineering practices
TS/SCI clearance with a polygraph

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18d ago

Analytics Engineer

Robert Half Urbandale, IA

Urbandale, IA

18d ago

Contract Analytics Azure Synapse Analytics Business Analytics

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Job Description

Robert Half is seeking an Analytics Engineer for an onsite contract in Urbandale, IA, with the potential to convert to a permanent role. The position centers on building scalable data models and BI solutions that translate complex data into clear, reliable insights across both on-premises and cloud environments.

The following sections outline the responsibilities, requirements, technologies, and benefits associated with the role.

Responsibilities

Design and maintain dimensional data models to back reporting requirements, including star and snowflake schemas, fact tables, dimension tables, and slowly changing dimensions.
Develop relational data models using solid database design principles, ensuring proper keys, clearly defined entity relationships, and data integrity standards.
Build and refine semantic layers for reporting and analytics in Power BI, Microsoft Fabric, and tabular modeling environments.
Develop calculations, measures, and reusable logic to standardize reporting and support authoritative business definitions.
Collaborate with stakeholders to translate business questions into scalable BI models and practical analytical solutions.
Implement data governance practices to improve model quality, consistency, and alignment with enterprise reporting standards.
Leverage DAX and Power Query to prepare, model, and optimize data for dashboards, reports, and self-service analytics.
Contribute to analytics initiatives that connect on-premises data with cloud platforms such as Fabric, Synapse, Databricks, or similar technologies.
3+ years of experience in analytics engineering, business intelligence, or a closely related data-focused role.
Strong knowledge of dimensional modeling concepts, including star schemas, snowflake schemas, fact tables, dimension tables, and slowly changing dimensions.
Experience with relational database design, including entity relationship diagrams, normalization, denormalization, and referential integrity.
Hands-on expertise with Power BI and BI modeling, including semantic models, tabular models, and advanced reporting logic.
Proficiency in DAX and Power Query (M) for data transformation and analytical model development.
Familiarity with Microsoft Fabric and at least one cloud analytics platform such as Azure Synapse, Databricks, or a comparable solution.
Understanding of data governance, master data concepts, and the importance of maintaining consistent business definitions.

Requirements

3+ years of experience in analytics engineering, business intelligence, or a closely related data-focused role.
Strong knowledge of dimensional modeling concepts, including star schemas, snowflake schemas, fact tables, dimension tables, and slowly changing dimensions.
Experience with relational database design, including entity relationship diagrams, normalization, denormalization, and referential integrity.
Hands-on expertise with Power BI and BI modeling, including semantic models, tabular models, and advanced reporting logic.
Proficiency in DAX and Power Query (M) for data transformation and analytical model development.
Familiarity with Microsoft Fabric and at least one cloud analytics platform such as Azure Synapse, Databricks, or a comparable solution.
Understanding of data governance, master data concepts, and the importance of maintaining consistent business definitions.