Description

Responsibilities

Design, maintain, and analyze complex datasets.

Extract and mine data from primary and secondary sources.

Clean, transform, and reorganize data for analysis and reporting.

Identify trends, patterns, and anomalies within large datasets.

Support diagnostic and predictive analytics initiatives.

Develop and optimize complex SQL queries.

Perform data validation and troubleshoot data-quality issues.

Identify and correct coding and data-related errors.

Develop reports and data visualizations to communicate findings.

Collaborate with business and technical teams to understand data requirements.

Present analytical findings and technical concepts to non-technical stakeholders.

Support ongoing data-quality and process-improvement initiatives.

Required Qualifications

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.

5+ years of professional data analysis experience.

Advanced SQL, including complex joins, window functions, and query optimization.

Strong SAS programming experience.

Experience with SAS Macro development and PROC SQL.

Experience analyzing large and complex datasets.

Experience with data visualization and reporting tools.

Strong analytical, problem-solving, and critical-thinking skills.

Excellent written and verbal communication skills.

Ability to explain technical data concepts to non-technical audiences.

Preferred Qualifications

Experience with EV / electric vehicle data or transportation-related datasets.

Experience with Python or other programming languages.

Experience supporting predictive or diagnostic analytics.

Experience working in an Agile/Scrum environment.

Experience with cloud-based data environments

Key Skills

Education

Bachelor's degree