Top Senior Data & Analytics Jobs

Build and improve production data systems connecting advertising performance, creative workflows, and business operations. Responsibilities include extracting data from advertising APIs, maintaining orchestrated pipelines, modeling data in Snowflake, defining trusted metrics, developing Power BI reports and semantic datasets, improving reliability and observability, and supporting analytics and machine learning applications. The role requires cross-functional collaboration and ownership across the full data lifecycle.

Leads advanced predictive and prescriptive analytics initiatives supporting DLA Clothing and Textiles demand planning, inventory, budgeting, supply-chain operations, and mission readiness. Develops statistical models, analytical frameworks, dashboards, and self-service products; coordinates data and analytics across JDA, EBS, SAP, EDW, SAS, and other DLA environments. Manages large-scale solution development and deployment, identifies analytics opportunities, and translates complex analyses into actionable stakeholder insights.

Leads the Reporting & Analytics team while establishing and operating the company’s data governance practice. Responsibilities include enterprise KPI and Tableau reporting, data ownership and stewardship, metric definitions, semantic-layer governance, business glossaries, lineage, data quality monitoring, policies, stakeholder intake, and team development. Partners with business, technology, Legal, and Information Security to improve trust, consistency, and usability of organizational data.

Leads business intelligence initiatives by designing data models, developing scalable reporting solutions, analyzing trends and risks, and communicating actionable insights to stakeholders. The role promotes data literacy, supports BI tool adoption, ensures data quality and governance, leads code reviews, develops project roadmaps, and partners with cross-functional teams including Product, Underwriting, Actuarial, Finance, IT, Claims, and Data Science. Also mentors and onboards team members.

Own analytics as an internal data product across GTM, People, Finance, and related functions. Translate ambiguous business questions into self-service data solutions, deliver executive-ready narratives, manage stakeholder priorities, and guide data-driven decisions. Serve as a marketing analytics subject matter expert across attribution, campaign measurement, lead tracking, funnel analysis, predictive modeling, and experimentation. Use SQL, modern data-stack tools, BI platforms, and AI-assisted modeling to deliver actionable insights.

Leads enterprise analytics, reporting, dashboard development, data governance, and data quality initiatives. Builds data models, ETL processes, pipelines, monitoring solutions, anomaly detection, and surveillance reporting using Power BI, SQL, Databricks, and Epic Clarity. Partners with executive and business stakeholders across healthcare, finance, and strategy to deliver actionable insights and support data-informed decisions, with emphasis on compliance, fraud detection, pharmacy, and investigative analytics.

Design and implement lakehouse architectures, data pipelines, semantic models, and enterprise Power BI dashboards using Microsoft Fabric and Databricks. Optimize SQL, Spark, and DAX workloads while ensuring data quality, scalability, security, and maintainability. Consult with enterprise clients, translate business needs into technical solutions, provide platform guidance and training, manage stakeholders, and contribute to internal engineering standards and reusable practices.

Owns commercial reporting, executive dashboards, KPI governance, data stewardship, and performance analytics across Sales, Marketing, Operations, Product, and Finance. The role analyzes pipeline, forecasting, conversion, retention, campaign, and revenue data; establishes reporting standards and data quality controls; and translates complex findings into executive recommendations. It is a senior individual contributor position requiring strong Power BI, Salesforce, Excel, commercial analytics, stakeholder management, and executive communication skills.

Processes, analyzes, validates, and improves Multi-GNSS data for precision positioning, navigation, timing, geolocation, and scientific applications. Develops automated workflows using GNSS processing software and programming languages, performs error modeling and ambiguity resolution, integrates GNSS with IMU/INS data, assesses solution quality, supports remote sensing missions, and communicates technical findings through reports, publications, and presentations. Participation in field campaigns may be required.

Designs, builds, and maintains production-grade data pipelines, ETL/ELT workflows, data models, and enterprise data platforms. Integrates databases, APIs, files, and third-party systems using Microsoft Fabric and related technologies. Ensures data quality, security, governance, monitoring, performance, and operational reliability. Collaborates with stakeholders and technical teams to deliver sustainable data solutions, document architectures, troubleshoot issues, and support continuous improvement.