Analyze large and complex data sets, identify trends/patterns, perform ad-hoc analysis, create data models across our brands using SQL, Python, etc.
Translate complex analysis into actionable insights that support strategic planning and operational decision-making.
Assist Data Science team in discovery, back-end dev, optimization of advanced analytics models.
Conduct ad-hoc and recurring analyses to support sales growth, operational efficiency, and KPI performance.
Ensure data accuracy, consistency, and quality, working with data engineers to optimize pipelines.
Support test-and-learn initiatives and performance measurement to quantify business impact.
Develop & maintain scalable automations for data sources, reports, periodic analysis.
Define, track, and report on Key Performance Indicators (KPIs) aligned with business goals.
Document data sources, methodologies, and reporting logic to ensure transparency and consistency.
Partner with Operations, Insurance, Finance, and leadership to translate business needs into analytical solutions.
Support regional and district leaders with data-driven insights to prioritize initiatives that improve performance.
Develop and present clear analytical narratives and recommendations to leadership.
Support BI and analytics projects from concept through implementation and assist advanced analytics initiatives as needed.

Bachelor’s degree in quantitative field (math, statistics, physics, engineering, economics, computer science) or equivalent years of experience.
Minimum 2 years’ professional experience in SQL & a scripting language (R/Python).
Minimum 2 years’ professional experience with KPI reporting and dashboard building.
Advanced SQL and advanced Excel skills.
Strong analytical and problem-solving skills.
Effective written and verbal communication skills.
Attention to detail and commitment to data accuracy.
Added Fuel if you have:
Experience performing data analysis and/or building automations in Python/R.
Experience with predictive analytics, statistical modeling, or automation.
Passion for solving sophisticated problems through data analysis.
Working knowledge of applied statistics.
Experience in data visualization, preferably in Tableau, Qlik or Power BI.

Business Data Analyst

Key skills