Top Senior Data & Analytics Jobs

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.

Conducts complex data coordination and analysis projects for the Reporting, Analytics, & Data team. Responsibilities include querying and transforming datasets, creating reports, publications, presentations, dashboards, and visualizations, interpreting findings for technical and non-technical audiences, and maintaining technical documentation. The role also coordinates multiple projects, communicates with diverse stakeholders, and travels approximately 15–20 overnights annually.

Build and maintain enterprise workflow applications, relational data structures, data pipelines, SQL logic, REST integrations, dashboards, and reporting outputs for a federal health client. Translate user stories into functionality, validate data, support testing, document solutions, and collaborate in Agile delivery while meeting federal security, privacy, records management, and accessibility requirements.

Develop and support SAP BRIM data migration solutions using BODS and EMIGALL. Responsibilities include source-to-target mapping, ETL development, data cleansing, validation, reconciliation, migration testing, SAP integrations, SQL analysis, production support, documentation, and cutover activities. The role collaborates with architects, functional consultants, infrastructure teams, and business stakeholders while supporting SAP S/4HANA, FICA, billing, and customer account migrations.

Senior individual contributor leading Sales BI strategy and AI transformation. Responsibilities include developing enterprise Power BI dashboards and data models, defining sales metrics, delivering production AI agents and automated analytical workflows, shaping Snowflake and AI analytics infrastructure, leading cross-functional initiatives, mentoring analysts, and influencing sales executives through data-driven recommendations. The role requires measurable adoption and business impact from AI-enabled analytics, without direct people-management responsibility.

Own end-to-end analytics solutions for Vay’s operations and mobility teams, including SQL/dbt data modeling, BI dashboards, alerts, KPI definition, and actionable insights. Improve fleet readiness, maintenance, charging, vehicle positioning, customer experience, and operational efficiency. Partner with operational and product leaders, collaborate with Data Science, and build scalable data foundations using cloud warehouses and modern data tooling.

Design and implement attribution, source tracking, CRM integrations, ROI measurement, funnel reporting, and sales performance systems for B2B clients. Consult with revenue leaders, define metrics, build and validate reporting across marketing, sales, CRM, advertising, and BI platforms, troubleshoot data quality issues, document solutions, and train client teams. Contribute to implementation methodologies, technical content, automation, and AI-enabled data validation and analysis.

Designs and delivers end-to-end enterprise data solutions on a GCP-native platform, covering ingestion, transformation, modeling, security, quality, and analytics consumption. Defines data mappings, dimensional models, and platform patterns; selects GCP services; guides engineers; reviews implementations; and translates business requirements into executable designs. The role also produces architecture documentation, supports modernization and EDW migration, collaborates across technical and business teams, and contributes to AI-ready data products and Agile delivery practices.