Top Senior Data & Analytics Jobs

Leads advanced decision science and quantitative analysis to solve complex business problems, develop predictive insights, and influence strategic decisions. Integrates and cleans diverse datasets, applies statistical methods, validates analytical approaches, creates visualizations, and communicates recommendations to executives. The role also guides requirements, operationalizes recommendations, researches emerging analytics technologies, develops Python and Streamlit tools, and ensures compliance with risk policies.

Lead and develop a team of Data Analysts while overseeing analytics projects, reporting, data governance, and self-service BI solutions. Partner with engineers, data scientists, and business leaders to establish trusted datasets, improve data quality, communicate metrics, and advance predictive analytics and AI-enabled decision support. Coach technical and non-technical staff in statistical methods and data literacy, evaluate modern analytics technologies including Microsoft Fabric, and drive insights that improve manufacturing performance, quality, and operational efficiency.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.

Support product management for mobile games through feature, KPI, and live-operations analysis. Extract data with SQL, build Tableau and Excel reports, automate dashboards, define and validate telemetry, and maintain analytics taxonomy. Develop statistical distributions, predictive models, and A/B tests to guide feature development and game-economy tuning. Monitor product trends, communicate insights, and provide actionable recommendations through recurring executive and event reports.

Lead assortment analytics by combining multiple data sources to deliver actionable insights, build dashboards/reports (Power BI/Adobe), define KPIs and measurement, present findings to stakeholders, and help enable analytics capabilities for emerging AI use cases.

Perform advanced data extraction, transformation, analysis, and visualization to deliver actionable, equity-centered insights. Build reports, dashboards, and data products; collaborate with data engineering and cross-functional partners; maintain data quality, documentation, and models; communicate findings to stakeholders and support team development.

Lead retention and marketing analytics: build lifecycle and segmentation frameworks, design and analyze A/B tests, drive personalization and KPI dashboards, automate retention reporting, and partner with Marketing, CRM, Product, and Data Engineering to turn insights into action.

The Data Governance Analyst implements and manages enterprise data governance initiatives, including data quality, metadata, data cataloging, master data management, and profiling. The role partners with data owners, stewards, and technical teams to establish standards, maintain business definitions and lineage, monitor quality metrics, resolve data issues, support MDM processes, improve data capture, and promote governance adoption and data literacy.

Architect and lead enterprise-scale data ecosystems and high-availability pipelines supporting global monitoring products. Build end-to-end solutions spanning architecture, ETL/ELT, orchestration, automated QA, CI/CD, and production integration. Establish data engineering standards, optimize existing systems, mentor team members, conduct design reviews, and partner with Product, Engineering, and commercial leaders. The role focuses on cloud-native, customer-facing data platforms, including geospatial datasets and defense and intelligence applications.

Develop and maintain reports, dashboards, KPIs, and executive insights using SQL, Power BI, and other BI tools. Reconcile operational and financial data, investigate anomalies, ensure reporting quality, and document data models, metadata, governance, and reporting inventories. The role also performs advanced data manipulation, visualization, data storytelling, and analytical recommendations. Fraud and disputes domain knowledge is preferred.