An innovative and fast-growing company at the forefront of home services serving 1M+ customers.
We love solving problems and are motivated by challenges and continuous improvement.
We empower our team to become “intrapreneurs,” to take initiative, and to drive positive change.
Our experienced leadership team wants to do it right and is always open to new ideas.
We offer comprehensive compensation packages.
WHAT THEY OFFER YOU:
Opportunity to work alongside the Chief Data and Integration Officer in creating actionable business processes based off of data analyses.
Ability for growth and ability to be on the forefront of a booming business.
Great visibility working alongside leadership.
WHY THIS ROLE IS IMPORTANT:
Collect, organize, and analyze large data sets to support decision making and improve operational efficiency. Analysis examples include ticket volume, ticket size, growth across 20+ branches, profitability by job type, technician productivity across 20+ branches.
Collect, organize, and analyze large and complex data sets using statistical and analytical tools.
Develop reports and dashboards to communicate insights and recommendations to business leaders.
Build and maintain data models to support business needs.
Develop and implement data quality checks and validation processes.
Collaborate with the ops, marketing, HR, and finance team to understand the trends/patterns and identify areas for improvement.
WHERE IS IT LOCATED:
Hybrid: 2-5 Days onsite per month (Charlotte, NC)
THE BACKGROUND THAT FITS:
Ability to distill complex and ambiguous issues into structured frameworks and concrete prioritized action plans and processes.
Strong analytical skills with experience in statistical analysis, data modeling, and data visualization
Proficient in SQL, Python, R, or other programming languages commonly used in data analysis.
Experience with data visualization tools such as Tableau, Power BI or similar tools is preferred.
Ability to take initiative and own your work end to end.
Understanding of financial analysis and modeling
2+ years of work experience in data analysis or related field