Data Analyst

Company Overview

Position Overview

Key Responsibilities

• Collect, clean, and validate data from multiple engineering systems, reconciling inconsistencies across sources.
• Partner with engineering stakeholders to understand reporting needs and translate them into dashboards and reports.
• Build and maintain SQL queries and Python scripts to automate recurring data pulls and reduce manual reporting.
• Conduct root-cause and trend analysis to identify issues and opportunities for improvement.
• Maintain documentation for data sources, definitions, and reporting logic.
• Perform data quality checks and resolve discrepancies before they reach stakeholders.
• Senior candidates may lead requirements gathering for complex initiatives and mentor junior analysts.

Qualifications

• At least 3 years of experience as a Data Analyst or in a similar analytics role; required experience scales with the role level.
• A bachelor’s degree in Data Science, Applied Mathematics, Statistics, Analytics, or a related field is required.
• A master’s degree is preferred.
• Candidates should be comfortable cleaning, reconciling, and validating messy real-world data.
• Strong communication skills are needed to gather requirements and explain findings to mixed audiences.
• Mentoring or reviewing others’ work is a plus for more senior candidates.

Technical Expertise

• SQL skills beyond pulling pre-built reports.
• Proficiency in Python, including pandas or a similar library, for data cleaning, transformation, and automation.
• Experience with a BI or visualization tool such as Tableau, Looker, or Power BI.

Compensation

• Wage is listed as dependent on experience, without a stated compensation cadence.