J.D. Power needs a Data Analyst to analyze and process automotive data to meet client demands for accuracy, timeliness, and completeness, and to support ongoing improvements across the content department by connecting data-driven tactics to outcomes.
Requirements
- Minimum of 3 years of experience as a Data Analyst, including significant SQL development work.
- Advanced SQL skills (e.g., PostgreSQL), including experience optimizing complex queries on large datasets.
- Proficiency in business intelligence tools such as QlikView (required), Tableau, or Power BI (preferred).
- Exposure to Python or R for data wrangling or statistical analysis.
- Experience delivering analytical tasks, being responsible for requirements and having the courage to challenge misconceptions.
- A good understanding of statistical topics and the ability to explain them to non-technical stakeholders (e.g., hypothesis testing, linear regression).
- Experience using a data warehouse and SQL.
Responsibilities
- Design and execute, high-profile SQL queries and reports with high accuracy and speed.
- Optimize SQL queries for performance, especially across large datasets (10+ million rows).
- Perform advanced data analysis to identify trends, diagnose key marketing drivers, and generate actionable insights.
- Serve as a subject matter expert (SME) for specific data domains.
- Partner cross-functionally with marketing, product, operations, and development teams to align data strategies with business goals.
- Contribute to the development and enforcement of departmental policies, ensuring data accuracy, security, and compliance.
- Process SQL queries for reporting & dashboards in an extremely timely and accurate manner.
Other
- Onsite at client - M - F
- Prioritize work independently to maximize efficiency while meeting project deadlines.
- Strong communication skills, both verbal and written; ability to present technical findings in a clear, concise manner.
- Highly accurate with strong attention to detail; sound decision-making in high-pressure environments.
- Proven ability to manage time and meet tight deadlines, including availability for occasional overtime, early mornings, late nights, or weekends.
