Top Data & Analytics Jobs

Lead design and implementation of enterprise Master Data Management (MDM) solutions, establish Golden Records, build cloud-native data pipelines and APIs, implement dbt transformations and IaC, enforce data quality, governance, and HIPAA-compliant practices to enable analytics, AI, and operational systems across Member, Provider, Facility, and related domains.

Manages architecture, governance, security, and lifecycle administration for defense modeling and simulation datasets. Builds databases and ETL pipelines for synthetic and live-virtual-constructive environments, maintains VV&A data pedigree, enforces DoD data standards, and supports secure HPC integration. Collaborates with engineers, data scientists, and military stakeholders to deliver reliable data structures and automated pipelines for simulation, testing, and warfighter readiness.

Gather, normalize, and analyze operational, financial, and customer data from multiple sources. Prepare spreadsheets, reports, charts, cost analyses, benchmarks, and presentations; define data standards and limitations; identify trends and anomalies; and provide recommendations to clients and internal stakeholders. The role also supports departmental and cross-functional projects.

Contract Analytics Engineer maintaining Looker and LookML dashboards, reporting, data operations, sales pacing, data QA, vendor workflows, board reporting, forecasting, and planning support during a director’s maternity leave. The role requires strong SQL and Snowflake skills, analytics engineering experience, vendor management, Git/GitHub proficiency, documentation, and independent work in a lean data team.

Develops and delivers standard and customized client reports, validates performance data, creates new reporting solutions, and supports automation initiatives. The role investigates reporting issues, resolves client and internal requests, coordinates with IT, maintains documented processes, and assists with GIPS compliance, account setup, performance reporting, and related projects.

Develops and maintains Power BI dashboards, semantic models, ETL processes, APIs, and SQL Server data solutions. Integrates data from databases, files, APIs, and enterprise systems; performs data transformation, validation, optimization, troubleshooting, and production support. Participates in DevOps, CI/CD, testing, documentation, and release management while translating stakeholder needs into scalable technical solutions.

Analyze SKU counts, item-level profitability, design productivity, and pricing across toy products. Build SQL queries and Sigma dashboards, identify margin risks and SKU rationalization opportunities, support new item planning, and communicate actionable insights to nontechnical Brand Operations and marketing stakeholders.

Participate in the Gradient Development Program through structured training, hands-on technical work, mentorship, and certification preparation. Collaborate with technical and business leads to translate business requirements into effective solutions. The program prepares recent graduates for technology consulting careers and future delivery consultant responsibilities.

Develops and supports business intelligence and analytics solutions, including data models, datasets, dashboards, reports, and integrated analytics. Partners with business and IT teams on data warehouse and data lake design, governance, data quality, technology performance, and analytics adoption. Uses SQL and Python to extract and shape data, automates dataset monitoring, and incorporates statistical or predictive capabilities into BI solutions.

Build and own analytical data products, dbt models, semantic layers, shared metrics, and data quality systems. Model GA4 and digital analytics data, activate trusted data through reverse ETL, and partner with analysts, product teams, and business stakeholders to support decisions. Mentor engineers and analysts, establish modeling standards, and contribute to self-service and AI-assisted analytics foundations.