Top Data & Analytics Jobs

Research, map, audit, and validate automotive parts fitment data to ACES standards. Troubleshoot customer fitment inquiries, collaborate with cross-functional teams, support catalog enrichment, and improve catalog data quality and internal processes to ensure correct part-to-vehicle matching.

Design, build, and operate batch and streaming data pipelines and dimensional models into the lakehouse. Develop reusable Python frameworks, CI/CD pipelines, and observability. Ensure security, governance, and data quality. Support AI-facing capabilities, partner with manufacturing and business stakeholders, and mentor teammates.

Lead and manage data transformation and migration projects, design and build automated data quality monitoring tools, analyze/clean/transform data using SQL/Python/JavaScript, collaborate with cross-functional teams, document mappings and processes, troubleshoot conversion issues, and apply AI and automation to improve data integrity and efficiency.

Design, build, and maintain ETL processes and Azure-based data warehouse components. Develop Power BI reports and dashboards, create and optimize SQL queries, manage change requests, troubleshoot BI/data issues, participate in data modeling, and maintain master data using Profisee in an Agile environment while collaborating with business users.

Build and maintain scalable data models and pipelines (especially Market Data) using dbt and Airflow; implement data observability, testing, and monitoring; collaborate with data scientists, product, and engineering to deliver production data products that drive revenue and customer value.

Conduct prospect research and analysis on individuals, corporations, and foundations to assess philanthropic capacity and interest. Prepare confidential donor profiles, briefings, and research reports; maintain prospect data in Tessitura; monitor news and philanthropic activity; respond to research requests; collaborate with development staff; leverage research databases and AI tools to improve efficiency while protecting data confidentiality.

Develop conceptual, logical, and physical data models; reverse-engineer production databases and document metadata; translate technical models for nontechnical users; recommend SCD and archival strategies; design for warehouse and marts; analyze/test relational databases, investigate load or retrieval issues; assess data quality; work independently with guidance from senior data architect.

Validate, load and QA automotive catalog data (parts, vehicle, labour, interchange). Extract and transform ACES/PIES XML feeds, cleanse large datasets, run database queries, resolve data-quality issues, and collaborate with product, development and customer teams to maintain high catalog coverage and accuracy.

The role involves leading analytics initiatives, collaborating with teams to develop solutions, and ensuring customer satisfaction through effective insights and tools. Responsibilities include managing analytics projects, facilitating scrum meetings, and promoting data-driven decision-making within the organization.

Design, develop, and maintain ETL pipelines, databases, and data visualizations to support 300mm semiconductor manufacturing. Analyze operational performance, automate data extraction, troubleshoot systems, collaborate with stakeholders, and integrate emerging technologies to improve manufacturing efficiency.