Top Senior Data & Analytics Jobs

Designs, builds, and maintains scalable batch and streaming data pipelines across AWS and GCP. Develops ETL/ELT workflows using Python, PySpark, and advanced SQL; optimizes performance, storage, and query execution; implements data quality and governance controls; and supports data lakes, warehouses, and ML workflows. Collaborates with data scientists and ML engineers on MLOps automation and production deployments while maintaining CI/CD, Docker, infrastructure standards, and technical documentation.

Build and scale production data systems spanning laboratory, manufacturing, battery, and business data. Responsibilities include developing ELT pipelines, architecting secure AWS data movement, modeling warehouse data, optimizing SQL, managing infrastructure as code, implementing monitoring and data quality controls, and partnering with scientists and engineers. The role requires strong Python, SQL, cloud, software engineering, and end-to-end ownership skills.

Leads people analytics initiatives covering workforce planning, retention, recruiting, engagement, organizational effectiveness, and productivity. Develops executive dashboards and KPI frameworks using workforce and business data, delivers diagnostic and predictive analyses, ensures data governance, and translates findings into actionable recommendations for HR and business leaders. Partners cross-functionally to improve reporting, analytics infrastructure, and data-driven decision-making.

Own advanced advertising measurement strategy for Connected TV, including incrementality testing, lift studies, attribution, experimental design, and performance validation. Advise customers and internal teams on interpreting complex measurement results, lead analytical enablement, partner with engineering and measurement vendors, resolve ambiguous post-launch challenges, and translate cross-customer insights into product strategy, go-to-market materials, and scalable best practices.

Leads the university’s institutional research function, overseeing institutional data governance, reporting, analytics, surveys, assessment, accreditation support, dashboards, and performance measurement. Provides strategic decision support for enrollment, student success, academic planning, resource allocation, and continuous improvement. Manages office operations, technology, processes, staff, compliance reporting, and collaboration with academic and administrative stakeholders. Translates complex quantitative information into actionable insights for university leadership and other audiences.

Designs and delivers backend systems, APIs, data models, ETL workflows, data interactions, and user interfaces. Optimizes data operations for scalability, performance, integrity, and security while contributing to automated testing and CI/CD. Requires strong Python and Apache Spark experience, distributed computing knowledge, Agile experience, and data analysis skills. The role supports healthcare-focused digital services in a remote-first environment.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and data modernization. Partners with executives and cross-functional leaders to establish data ownership, improve quality, develop analytics and KPI frameworks, prioritize AI use cases, and measure transformation value. Builds data-focused organizational capabilities, drives adoption and data literacy, develops investment cases, and guides enterprise initiatives that improve forecasting, planning, operational decisions, and business outcomes.

Lead GIS activities for large-scale fiber and telecommunications projects across planning, design, permitting, construction, and lifecycle management. Develop geoprocessing tools, dashboards, workflows, and spatial data integrations; resolve complex GIS challenges; enforce data quality and accuracy standards; coordinate cross-departmental initiatives; and mentor junior GIS staff. The role requires advanced GIS expertise, telecom or utility OSP experience, scripting, geodatabase design, relational database management, and leadership skills.

Develops and maintains data architecture, integration systems, warehouses, lakes, analytics tools, dashboards, reports, and predictive models across banking systems. Provides data governance, security, compliance, reporting, and ad hoc analysis while supporting strategic initiatives, audits, application management, and cross-functional stakeholders. Serves as a data subject matter expert and evaluates emerging technologies, including AI and cloud platforms.

Analyzes fraud, credit, portfolio, alert, case, and customer data to identify trends, typologies, losses, control gaps, and process inefficiencies. Develops fraud KPIs and KRIs, supports detection models and rules, evaluates alert and investigation lifecycles, and delivers executive-ready reporting aligned with BSA/AML, regulatory, and audit standards. Partners with Fraud Operations, Compliance, Risk, Product, and Technology teams to improve detection, escalation, investigation, and resolution outcomes.