Top Data & Analytics Jobs

The role involves coordinating meetings, managing action items, conducting advanced data analytics, and briefing senior leadership with insights from complex datasets.

Support enterprise data governance by documenting business and technical metadata, mapping end-to-end data lineage, identifying data quality gaps, implementing remediation with stakeholders, and maintaining governance deliverables and reports.

The Data Specialist analyzes data processes, manages data quality and reporting solutions, and develops project plans to meet business needs.

The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.

Lead data-focused business analysis: elicit and document requirements, model data and processes (As-Is/To-Be), design data flows, support integrations, migrations, EDW/reporting decisions, mentor team members, and drive data governance and cataloguing across enterprise systems.

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.

Own the last mile for data and AI at Gainbridge: prioritize high-value problems, translate models into decision narratives, drive adoption into workflows, co-own delivery with engineering, and measure business outcomes.

Support GCG sales operations by generating and maintaining reports, analyzing third-party competitive data, improving data governance and automation, communicating insights to stakeholders, and partnering with sales and technology teams to drive growth.

Lead and execute data analysis for ecommerce and subscription metrics, build dashboards and reports, generate actionable insights for marketing/product/ops, run A/B tests and cohort analyses, and mentor junior analysts while presenting findings to stakeholders.

The Senior Business Analyst will lead client data strategy, collaborating across teams to analyze business needs, improve processes, and deliver insights. Responsibilities include developing business requirements, managing project timelines, and creating analytics reports using Tableau and Python.