Top Hybrid Data & Analytics Jobs

Lead and scale the People Analytics function by developing global strategy, mentoring the team, partnering with HR and business leaders, and delivering actionable insights. Build reports, dashboards, and prototypes using SQL, Tableau, Workday, and other tools; prioritize rapid iteration, automation, and self-service analytics to influence workforce decisions and drive company-wide change.

Lead and scale the People Analytics function: develop global People Analytics strategy, manage and mentor team members, partner with HR and business leaders, deliver actionable insights via SQL/Tableau/Workday, build self-service analytics, iterate quickly on pilots, and translate complex people data into clear stories that influence company decisions.

Design and maintain predictive dashboards and forecasting models to track pipeline health, win rates, and GTM performance. Build SQL pipelines, conduct statistical and scenario analysis, partner with Sales/Marketing/Finance, and translate insights into actionable recommendations to improve revenue forecasting and operations.

Design, develop, and optimize enterprise Teradata data warehouses and ETL architecture. Administer Teradata environments, monitor database health, troubleshoot production incidents, tune SQL performance, manage security and access, support ETL/batch processing, and collaborate with cross-functional teams to enable BI, automation, and process improvements.

As a Senior Data Analyst, you will develop data solutions, create database objects, optimize performance, and deliver insights via reports and dashboards, while collaborating with product teams.

Build and lead a customer insights capability: run qualitative and quantitative research (interviews, surveys, VoC), perform segmentation and win/loss analysis, produce executive-ready recommendations and dashboards, partner cross-functionally to drive product, GTM, and operational decisions, and help hire and develop the insights team.

Lead analytics role designing, implementing, and maintaining enterprise proactive monitoring rules to detect internal employee fraud. Own rule development, control execution, performance evaluation, and governance while partnering with stakeholders to translate business requirements into data-driven detection solutions using large, complex datasets.

Lead analytics-driven, cross-functional initiatives from intake through delivery. Partner with senior leaders to translate business needs into analytics, automation, and AI-enabled solutions, align stakeholders, manage delivery, and scale reusable enterprise solutions that drive measurable business value.

Lead analytics-focused engagements from intake through delivery, partnering with senior leaders to translate business needs into scalable analytics, automation, and AI-enabled solutions, align stakeholders, drive measurable business value, and standardize enterprise solutions across large, matrixed organizations.

Build, model, and maintain scalable BigQuery-based data solutions on GCP. Implement performant data models, storage partitioning/clustering, ETL improvements, data validation, and documentation. Collaborate with architects, data scientists, and engineers to deliver governed, high-quality data for reporting and AI initiatives.

Transform data into actionable insights by building dashboards, reports, and visualizations. Partner with cross-functional teams and data engineering to ensure data quality, lineage, and AI-ready metadata. Audit datasets, define monitoring rules, document data dictionaries, pilot AI-assisted BI tools, and apply hypothesis-driven analysis to surface insights that inform business decisions.

Lead design and delivery of data and software solutions for PwC Tax: oversee architecture, coding, testing, client engagements, CI/CD and API integration, mentor teams, drive business growth and ensure data integrity and compliance.

Build, design, code, test, and deploy software solutions within the Tax practice. Translate business requirements into technical specifications, implement CI/CD, perform code reviews and QA, troubleshoot and optimize applications, engage clients, and mentor junior team members to deliver scalable, maintainable systems.

Design, build, test, and deploy software solutions for Tax practice clients. Collaborate with teams to gather requirements, implement APIs and CI/CD, perform code reviews, troubleshoot issues, and participate in QA and project management while developing client relationships and technical skills.

Design, build, and maintain scalable data pipelines and ingestion frameworks across cloud platforms. Ensure data quality, lineage, storage, and consumption methods. Implement solutions on Kubernetes, Databricks, and Teradata, mentor junior engineers, collaborate with cross-functional teams, and contribute to internal tooling to support analytics and customer-facing data products.

Partner with stakeholders to analyze and document SAP ECC processes, develop BI and analytics solutions on enterprise platforms like Snowflake, improve data quality and governance, enable self-service reporting, and support application development and process modernization to drive better decision-making and operational efficiency.

Design, build, and maintain scalable Snowflake-based data platforms and ETL/ELT pipelines; operationalize AI/ML models; automate processes; monitor and optimize code and data systems; support data governance and engage cross-functionally to deliver analytics and predictive solutions.