Top Data & Analytics Jobs

Develops, troubleshoots, and supports enterprise Oracle database applications using advanced SQL and PL/SQL. Responsibilities include debugging production issues, optimizing database code, maintaining data feeds and integrations across NiFi, AWS, APIs, and files, performing data validation and reconciliation, supporting deployments and incidents, tuning performance, and collaborating with DBAs and infrastructure teams on RAC, recovery, Data Guard, security, and operational reliability.

Build and operate reliable data pipelines transforming flight test, simulation, and operational data into versioned, traceable ML training datasets. Responsibilities include ingestion, normalization, time alignment, validation, dataset lineage, anomaly mining, labeling workflows, deployment feedback loops, monitoring, and data coverage analysis. Collaborate with flight test and operations teams on instrumentation and data access. The role is on-site in Boston and requires production data engineering experience supporting machine learning pipelines.

Own BI strategy and analytics for live-service educational game release programs. Build dashboards, semantic layers, data models, and executive health reporting using Tableau, Looker, SQL, and Python. Diagnose production bottlenecks and dependency failures, recommend process improvements, advise leadership, establish data governance standards, and mentor analysts.

Supports data analytics, reporting, research, process improvement, and special projects. The intern collaborates cross-functionally, researches trends and best practices, and gains experience using data to support business decisions in financial services.

Leads the design, governance, and integration of mission-focused data ontologies, knowledge models, taxonomies, and standards. Collaborates with analysts, engineers, architects, and data owners to establish interoperable data practices, support standards adoption, and integrate models into enterprise tools and workflows. Produces monthly posture reports and guides data architecture and approval processes for intelligence data enterprises.

Develop fundamental supply-and-demand models for global crude oil markets using econometric and statistical methods. Build Python and SQL analytics, visualization tools, data validation frameworks, and automated ingestion pipelines. Analyze market dislocations, disruptions, policy changes, and data releases to formulate probabilistic trade recommendations. Curate and transform proprietary commodity datasets, backtest signals, and present trade ideas to senior traders and portfolio managers.

Supports data-driven marketing insights by helping design data solutions, integrations, dashboards, automated reports, and ad-hoc analyses. The role interprets business requirements, supports data modeling and project scoping, and collaborates with analysts, data scientists, developers, architects, and marketing specialists to improve digital communications and CRM initiatives.

Conduct rapid political research by analyzing news, public records, campaign finance, voting histories, and legal documents; synthesize findings into concise research products for rapid response and communications teams; monitor national and local news; support department tasks as assigned.

Develops and maintains enterprise Power BI reports, dashboards, semantic models, and datasets using Databricks data. Partners with business stakeholders and data engineers to gather requirements, design scalable data models, create DAX measures, test reporting solutions, resolve data discrepancies, and deliver actionable insights. The role also documents BI solutions, supports data architecture improvements, and leads cross-functional teams through complex data challenges.

Leads end-to-end analytics engagements for client accounts, including data architecture, statistical analysis, dashboard development, SQL modeling, executive presentations, and strategic recommendations. Manages analytical roadmaps, billing and scope tracking, client relationships, and competitive benchmarking. Mentors junior analysts, governs Tableau and Power BI reporting standards, and improves team methodologies. Requires advanced analytics expertise, strong executive communication, and significant client-facing experience in B2B, enterprise, or channel sales environments.