Top Data & Analytics Jobs

Build and maintain batch data pipelines and ETL/ELT workflows using SQL, Python, APIs, databases, and files. Develop datasets, data models, quality checks, monitoring, documentation, tests, and deployment processes. Troubleshoot pipeline issues, support releases and backfills, modernize legacy processes toward secure cloud-based solutions, and provide business intelligence insights while collaborating with analysts, software engineers, and business partners.

Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.

Analyzes, maps, tests, supports, and documents EDI trading-partner files and integrated data systems. Responsibilities include production support, SQL querying, API and transaction testing, defect resolution, monitoring, reporting, technical specifications, data mapping, requirements analysis, and project participation. The role requires real-time EDI 27X expertise, supports healthcare-related integrations, participates in on-call rotation, and may mentor junior analysts at higher levels.

Analyze petrochemical, polymer, and raw-material markets to support trading strategies and commercial decisions. Develop supply-demand outlooks, price and margin analyses, market reports, dashboards, and research initiatives. Gather insights from suppliers, customers, and service providers, assess trade structures, and recommend data sources, models, and analytical tools to improve market intelligence.

Conduct open-ended research on markets, companies, products, funding, competitors, technologies, people, and regulations. Transform findings into clear, sourced matrices, briefs, landscape maps, and one-pagers with actionable points of view. Use AI tools and lightweight scripts or scrapers to accelerate research, manage multiple shifting requests, and communicate concise conclusions to leadership.

Provides portfolio and strategy analytics for equity investment strategies, including performance attribution, risk exposures, factor analysis, portfolio construction, and competitive intelligence. Partners with portfolio managers, leadership, sales, marketing, and client service teams to deliver reports, dashboards, presentations, and actionable insights. Maintains monthly reporting, supports RFPs and investor communications, improves workflows through automation, manages projects, and mentors junior associates.

Analyze and document enterprise data environments for financial services clients, with a focus on Customer and Party Master Data Management. Define data flows, lineage, quality rules, governance models, entity resolution requirements, and MDM implementation roadmaps. Facilitate requirements sessions, collaborate with business and technical stakeholders, and prepare mappings, diagrams, documentation, and presentations. The role requires strong data management experience, financial services knowledge, and proficiency with analytical and documentation tools.

Analyze Medicare and Medicaid datasets, design analytical approaches, review R and SAS programming, build healthcare financial models, and translate complex findings into visualizations, presentations, publications, and policy recommendations. The role manages multiple consulting projects, collaborates across teams, presents results to clients, and supports healthcare policy and business decisions.

Manages DoD data, records, configuration, and change-management processes. Maintains CDRLs, equipment inventories, records plans, databases, and SharePoint environments; supports audits, data requirements, reporting, compliance, and database administration. Collaborates with government staff and contractors, provides user support, develops management briefings, and ensures cybersecurity and information-security practices are followed.

Develops and implements data engineering and statistical analysis solutions for government customers. Responsibilities include automating data extraction and processing, building data models, analyzing large and diverse datasets, developing statistical methods, creating databases, reports, and visualizations, and communicating technical findings. The role requires independent problem-solving, data science and engineering experience, and support for intelligence-related data capabilities.