Job Description
We are currently conducting urgent hiring for a Data Analyst to join our elite team. We are seeking top talent to work remotely from anywhere in the US, with a preference for candidates based in or willing to relocate to Indianapolis, IN. We offer a comprehensive relocation assistance package to ensure a smooth transition for the right candidate.
Job Summary
As a Data Analyst, you will play a pivotal role in our data-driven decision-making process. You will be responsible for interpreting complex data sets, identifying trends, and presenting actionable insights to stakeholders. This is a high-impact role perfect for a detail-oriented professional looking to advance their career in a modern tech environment.
Why Apply?
- Flexible Work: Enjoy the freedom of remote work while maintaining a strong team connection.
- Relocation Support: We cover moving costs and provide support for candidates relocating to Indianapolis, IN.
- Competitive Pay: Earn between $85,000 and $120,000 depending on experience.
Responsibilities
- Collect, clean, and analyze large datasets to identify trends, patterns, and business insights.
- Design, develop, and maintain interactive dashboards using Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to define data requirements.
- Create automated reporting solutions to improve operational efficiency and accuracy.
- Perform statistical analysis and A/B testing to validate business hypotheses.
- Ensure data quality, integrity, and security across all reporting systems.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
- 3+ years of professional experience as a Data Analyst or Data Scientist.
- Strong proficiency in SQL (PostgreSQL, MySQL) for data querying and manipulation.
- Experience with Python or R for data analysis and automation.
- Expert knowledge of data visualization tools (Tableau, PowerBI, or Looker).
- Excellent communication skills with the ability to translate complex data into business recommendations.