Job Description
We are seeking a Senior Data Analyst to join our elite team in Indianapolis. In this pivotal role, you will bridge the gap between complex data and strategic business decisions. We offer comprehensive relocation assistance for the right candidate, making this an ideal opportunity to relocate to the heart of the Midwest.
As a Senior Data Analyst, you will own our data pipelines, derive deep insights from massive datasets, and present findings that drive revenue growth and operational efficiency. If you are passionate about turning raw numbers into actionable narratives, we want to hear from you.
What You Will Do:
- Extract, clean, and transform complex datasets using SQL, Python, and R.
- Design and maintain interactive, high-performance dashboards in Tableau and Power BI.
- Collaborate with cross-functional teams to define key performance indicators (KPIs).
- Conduct advanced statistical analysis to identify trends, patterns, and anomalies.
- Present data-driven recommendations to executive leadership in a clear, concise manner.
Qualifications:
- Bachelor’s degree in Statistics, Computer Science, Finance, or a related quantitative field.
- 3-5+ years of professional experience in data analysis or business intelligence.
- Advanced proficiency in SQL (querying, joins, window functions).
- Strong experience with visualization tools (Tableau, Power BI, or Looker).
- Experience with Python (Pandas, NumPy) or R for data manipulation.
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.
Responsibilities
- Extract, clean, and transform complex datasets using SQL, Python, and R.
- Design and maintain interactive, high-performance dashboards in Tableau and Power BI.
- Collaborate with cross-functional teams to define key performance indicators (KPIs).
- Conduct advanced statistical analysis to identify trends, patterns, and anomalies.
- Present data-driven recommendations to executive leadership in a clear, concise manner.
Qualifications
- Bachelor’s degree in Statistics, Computer Science, Finance, or a related quantitative field.
- 3-5+ years of professional experience in data analysis or business intelligence.
- Advanced proficiency in SQL (querying, joins, window functions).
- Strong experience with visualization tools (Tableau, Power BI, or Looker).
- Experience with Python (Pandas, NumPy) or R for data manipulation.
- Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.