Top Data & Analytics Jobs

Develop and execute data extraction procedures from big data platforms, build complex algorithms and statistical models, analyze large datasets to generate actionable insights, create and maintain dashboards/KPI reports, run simulations and forecasting, monitor competitors and market trends, and collaborate cross-functionally to support data-driven decisions.

Lead hands-on design, development, review, and optimization of production data pipelines and platform capabilities. Provide technical leadership, mentor engineers, drive CI/CD, observability, automation, and scalable data platform architecture to support analytics and ML workloads within an Agile environment.

Design, build, and maintain Power BI dashboards and Power Apps to deliver HR workforce insights. Clean, validate, and consolidate HR data, analyze attrition and staffing trends, respond to data calls, track onboarding readiness, maintain SOPs and data governance, audit reports for accuracy, and automate reporting processes.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.

Owner of finance data infrastructure and reporting; builds Power BI dashboards and semantic models, develops Excel/Python-based financial models and automations, partners with IT to ensure data reliability, drives AI adoption and pilots, trains finance users, and manages the finance technology roadmap to enable data-driven decision-making.

Perform backend ETL and data warehouse testing: validate Snowflake data quality, verify ETL transformations and business rules, perform source-to-target reconciliation, and ensure data loads maintain integrity without loss or corruption.

Design, build, and maintain enterprise data architecture and pipelines for a scalable, secure cloud data warehouse. Lead data modeling, ETL/ELT, governance, metadata and master data strategies. Support data migration, cloud transformations, enable BI, analytics and AI use cases, provide technical guidance, documentation, and collaborate with engineering and business teams to ensure data quality and accessibility.

Lead media analytics for assigned client accounts, translating media and business goals into measurement frameworks, optimization recommendations, and clear reports. Mentor analysts, build reusable frameworks, work with Media, Data, and Data Science to improve tagging, data integration, and dashboards, and present performance findings to clients. Focus on paid media measurement, optimization, QA, and capability-building across the analytics organization.

Lead and execute company-wide data, software, ML/AI and IT strategy. Build and manage a multidisciplinary team, establish data architecture and governance, deploy production software and ML workflows, oversee bespoke development and IT services, and partner with scientific teams to ensure secure, reliable, and FAIR data-driven operations.

Lead design and implementation of Informatica IDMC Multidomain MDM: configure domains, matching/merging, data quality, integrations (batch, API, Kafka), stewardship, CI/CD, and operational support.