Department: Data Engineering
Reports to: Data Analytics Manager
Location: Remote, all 50 states
Job Type: 6 Months Contract to Full-Time
FLSA Classification: Exempt
Job Brief:
The Data Analyst is responsible for managing, cleaning, analyzing, interpreting, and displaying data to transform it into meaningful statistics, information, and explanations. Success in this role is measured by the ability to turn raw data into goal-driven information and insight which can be used to make business decisions.
Responsibilities:
Data Management
o Set up all Data Management processes, including:
- Data Quality
- KPI Development
- New Data Sources
o Lead and own the KPI requirements and specification process.
o Establish processes to identify, report, and test data quality problems and fixes.
o Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets.
o Work with the engineering team to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Analysis
o Work with team leads to understand and maintain focus on analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
o Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
o Prepare and maintain analysis reports and visuals for leadership.
What We’re Looking For:
· 1-3 years’ high-level experience in data analysis, including demonstrated experience in handling large data sets and relational databases.
· Technical proficiency in database design development, data models, techniques for data mining, and segmentation.
· Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python.
· Adept at using data processing and data visualization platforms, specifically Google BigQuery and Microsoft Power BI.
· Exceptional attention to detail and a strong ability to interpret both qualitative and quantitative data.
· Able to build validation and data quality rules to ensure data usability and reduce process iterations
· Excellent communication and presentation skills, with a strong ability to turn complicated problems into simple solution frameworks and representing data in visually-impactful ways to “tell a story.”
· Excited about joining a startup culture and opportunity to shape the direction of an emerging vertical in a burgeoning market.
· Flexibility to work across any US time zone with required overlap hours of 9am-3pm PST
· Collaborate with offshore teams across both data engineering and analytical initiatives