Top Hybrid Data & Analytics Jobs

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Manage and scale paid media campaigns for gaming clients, optimize user acquisition strategies, and deliver insights to stakeholders.

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Collect, verify, and organize precinct-level election returns; summarize and visualize turnout and performance trends; produce reports for candidates and campaign teams; maintain data confidentiality. Training and support provided; volunteer role.

Own and harden Plot's core data platform: stabilize high-throughput ingestion, design read-optimized schemas and partitioning, separate transactional vs analytical workloads, ensure performant data access for dashboards and AI agents, write RFCs, and raise reliability and observability across teams.

Lead people analytics operations for the region: manage HRIS (UKG) administration, integrate Talent data into Google BigQuery, produce reports and visualizations, audit and improve data quality, train stakeholders, and develop metrics, KPIs, and predictive models to support workforce planning and regional strategy.

Lead and scale a centralized customer analytics and intelligence function: build team structure and governance, integrate siloed data sources, deliver actionable insights to marketing, distribution, and leadership, present to executives, drive measurement and activation (segmentation, personalization, CRM enablement), and ensure data quality, governance, and continuous improvement across global business units.

Analyze quantitative and qualitative datasets to measure product and business performance, build regular analytical deliverables, design and execute analyses, ensure data quality, and communicate clear, actionable insights to technical and non-technical stakeholders to inform product and business decisions.

Lead custom analytics engagements for ad campaigns using Nexxen's data platform. Translate business questions into analyses, run campaign measurement and experiments, troubleshoot data issues, build scalable frameworks from one-off analyses, create polished visualizations and dashboards, and partner with Account, Sales, Engineering, and Product teams to deliver client value.

Lead analytical method validation and drive process excellence initiatives. Collaborate with CDMOs, support quality systems, and manage documentation for regulatory compliance.