Top Senior Data & Analytics Jobs

Lead Prophet model development for life insurance products and business cases, including model testing, debugging, peer review, and strategy evaluation. Partner with pricing, valuation, ALM, hedging, IT, and other business teams to improve modeling capabilities and processes. Provide Prophet expertise and guidance to junior staff while supporting model risk management, documentation, and standards.

Conducts advanced Finance data governance research, analysis, and implementation for regulatory reporting and priority data use cases. Partners with business and technology stakeholders, monitors policy adherence, maintains metadata and lineage artifacts, develops governance reporting and automation tools, and advises senior management on data risks and recommendations. Leads moderate-scope projects, supports audits and controls, and mentors junior team members.

Develops enterprise business intelligence solutions, including data preparation workflows, dashboards, reports, visualizations, and analytics. Partners with stakeholders to translate requirements into actionable insights, ensures data quality and governance, documents processes, and coordinates contract resources across concurrent projects. Uses Alteryx, Tableau Prep, Power BI, and Tableau to deliver scalable reporting and measurable business value.

Own commercial performance reporting, benchmarking, Power BI governance, data stewardship, and self-service analytics. Translate operational, financial, customer, contract, and market data into executive insights supporting pricing, renewals, budgeting, customer governance, and strategic decisions. Establish reporting standards, data definitions, quality controls, and a single source of truth while leading adoption, change management, user training, and cross-functional collaboration with Commercial, Finance, Operations, and IT.

Administer and support Vertica, Sybase ASE, and Sybase IQ databases in mission-critical environments. Responsibilities include installation, configuration, performance tuning, backup and recovery, security administration, high availability, replication, monitoring, troubleshooting, upgrades, migrations, disaster recovery, and production support. The role also involves SQL and scripting, automation, modernization initiatives, and collaboration with application and infrastructure teams to ensure database reliability, scalability, and compliance.

The Senior Data Analyst will source, validate, and reconcile data supporting forecasting, purchasing, inventory planning, and reporting. Responsibilities include auditing forecasts and operational outputs, identifying data quality issues, rating results, automating recurring checks and workflows with AI, documenting planning processes, and integrating tools with merchandising and operating systems. The role collaborates with planning, merchandising, sourcing, logistics, eCommerce, wholesale, and finance teams to deliver reliable, decision-ready data.

Designs and scales Snowflake-based healthcare data and AI solutions, including Cortex AI agents, LLM functions, semantic search, RAG pipelines, Streamlit applications, and Snowpark data workflows. Builds ELT pipelines, optimizes Snowflake performance, implements Data Vault or Medallion architectures, and manages governance, security, HIPAA compliance, lineage, and access controls. Partners with technical and clinical stakeholders while serving as a Snowflake subject matter expert.

Manages government program data, CDRL deliverables, records, document control, file plans, databases, and SharePoint environments. Responsibilities include developing data standards, maintaining repositories, administering database systems, supporting data warehousing and mining, monitoring data capacity and performance, and ensuring compliance with information security policies. The role supports multiple defense acquisition and sustainment programs, coordinates with government and contractor stakeholders, and requires onsite work at Hanscom Air Force Base.

Build and maintain centralized enterprise data systems, governance standards, data quality processes, and analytics-ready data solutions. Investigate discrepancies, troubleshoot data issues, automate processing, manage metadata and taxonomies, perform gap analysis, and support Analytics and Machine Learning Operations. Develop test plans, test data management processes, automated test suites, reports, and data profiling solutions using Snowflake, AWS, ETL platforms, and related technologies.

Designs, builds, and optimizes enterprise Databricks Lakehouse pipelines and data products using Spark, Delta Lake, SQL, and Python. Leads complex data initiatives, production support, governance, CI/CD, workflow orchestration, monitoring, and modernization of legacy SQL Server solutions. Partners with stakeholders, optimizes performance and cost, mentors engineers, and drives engineering standards across Azure data platforms.