Top Hybrid Senior Level Data & Analytics Jobs

The Senior Data Enablement Analyst provides governance oversight for data products, drives operational efficiency in data governance, and collaborates with various teams to translate business needs into data solutions in an Agile environment.

The Data Scientist will lead forecasting and advanced analytics for eCommerce, focusing on AI adoption and Customer Lifetime Value modeling, translating data insights for business stakeholders.

Design and implement scalable data architectures, collaborate with teams to optimize data pipelines, develop data models, and ensure data governance and quality.

As a Senior Data Engineer, you will design, build, and scale data pipelines and analytics capabilities, focusing on data modeling, ingestion, and automation using Python and PySpark in a healthcare context.

Operate, optimize, and scale Better Collective’s DMP and contextual targeting solutions. Build and manage audience segments, ensure inventory suitability and scale, support sales and product with data-driven insights, collaborate with vendors and internal teams, and maintain privacy/compliance (GDPR, CCPA).

Seeking a temporary Senior Data Analyst for a data cleanup project focused on reviewing and correcting Salesforce account and billing information to ensure data accuracy.

The Analytics Manager leads analytics and business intelligence projects, mentors teams, collaborates with stakeholders, and drives data strategy for clients.

Lead digital measurement and analytics for ecommerce: build measurement frameworks, run attribution and predictive models, drive A/B testing and personalization, produce executive dashboards and actionable insights, partner cross-functionally to improve conversion, retention, and LTV.

Own end-to-end data and analytics for SaaS clients: collect requirements, stand up data infrastructure, migrate reporting to Valon Data Schema, build dbt pipelines, rewrite SQL queries and dashboards, conduct analyses, and support client operations under tight deadlines.

The Data Engineer will design and optimize ETL pipelines, integrate data, ensure data integrity, tune SQL queries, troubleshoot issues, and collaborate with teams to create data solutions.