Top Hybrid Senior Level Data & Analytics Jobs

Lead a team of decision scientists and business intelligence developers to deliver analytics solutions and drive business outcomes. Collaborate with stakeholders, establish automated processes, and maintain best practices in data analytics and visualization.

The Principal Data Analyst will manage pricing and profitability strategy for Workhuman's E-commerce store, leveraging data analysis and cross-functional collaboration to drive decision-making and implement improvements in pricing strategies.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

The Senior Quantitative Analyst will develop methodologies to enhance equity ratings, create analytical tools, and collaborate with stakeholders globally, requiring strong Python skills and over 5 years of experience.

Lead Philo's Data Engineering team, shaping the vision and execution for data architecture and analytics. Build scalable data systems and drive team growth while delivering high-quality data products across functions.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

The Senior Marketing Analyst will enhance analysis within the Go-to-Market team, optimize marketing attribution, analyze customer funnels, and collaborate with various teams on campaigns and revenue growth solutions.

The Senior Data Analyst will build dashboards, develop ETL pipelines, provide insights on workforce trends, and collaborate with HR and Finance stakeholders.

As the Lead BI Engineer, you will build the analytical infrastructure for data-driven decision-making, design scalable data models and dashboards, implement BI tools, and ensure data quality. You'll partner with various teams to define KPIs and insights, setting the direction for future BI efforts and team growth.