Top Data & Analytics Jobs

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

The Senior Actuary will develop pricing models, analyze product performance, drive initiatives for professional lines, and collaborate across teams to support data-driven decisions and manage risk.

Lead people-analytics strategy for Talent Acquisition and Talent Development. Drive end-to-end analysis of complex workforce problems, deliver evidence-based recommendations to senior leaders, ensure data governance and quality, coach junior analysts, build metrics frameworks, and conduct benchmarking and external research to inform workforce strategy.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.

Lead and execute analytics across client engagements: measurement strategy, reporting, advanced measurement (attribution, incrementality, experimentation), AI-enabled analytics, and team leadership. Ensure analytics inform media planning, deliver scalable measurement frameworks, and drive client-facing insights tied to business outcomes while mentoring an analytics team.

Lead measurement strategy for a book of clients, designing statistical models (MMM), experiments (MMT), and customer analyses. Use R, Python, SQL and ETL tools to extract insights, present advanced methodologies to stakeholders, provide strategic recommendations tied to business goals, mentor measurement analysts, drive process efficiencies, and leverage proprietary Nova tools and AI to optimize deliverables.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Design, develop, and optimize scalable batch and real-time data pipelines on GCP. Implement Medallion Architecture, build Python and PySpark transformations, optimize BigQuery and SQL workloads, deploy Dataflow pipelines, and orchestrate workflows with Cloud Composer and Airflow. Manage GCS storage, CI/CD, version control, IAM, data governance, security, reliability, scalability, and cost efficiency across enterprise data platforms.

Leads marketing performance measurement across paid media, CRM, web, SEO, owned, and offline channels. Ensures KPI reporting accuracy, develops dashboards, analyzes experiments and attribution, supports forecasting and ROI analysis, and translates marketing data into actionable recommendations. Partners with channel owners, Finance, and analytics teams to improve campaign performance, reporting standards, budgeting, and strategic decision-making. Presents insights to marketing leadership and manages reporting improvements in a fast-paced environment.

Prepare management reports, dashboards, slide decks, financial results, KPI analyses, variance investigations, and ad hoc studies. Provide data-driven insights and predictive analytics for decision-making. Improve and automate processes using UiPath RPA while maintaining system integrity and security. Use SQL, Python, C#, and Java to extract and process data, and support analytics, finance, and cross-functional project teams.