Job Description
We are seeking a highly skilled and analytical Data Analyst to join our elite team in Memphis, TN. If you thrive in a fast-paced environment and have a passion for turning complex datasets into actionable business strategies, this is your chance to secure a high-earning role in a thriving tech hub.
In this position, you will act as the bridge between raw data and executive decision-making. You will leverage your expertise in SQL, Python, and visualization tools to uncover trends, optimize operations, and drive revenue growth for our clients. We offer a competitive benefits package, a collaborative culture, and the opportunity to work on high-impact projects that shape the future of data analytics in the region.
Why Join Us?
- Competitive salary range ($90k - $135k)
- Comprehensive health, dental, and vision insurance.
- Flexible remote work options and professional development stipends.
- Annual performance bonuses and stock options.
Don't miss this opportunity to advance your career in one of the South's most vibrant business centers.
Responsibilities
- Collect, clean, and validate datasets to ensure accuracy and integrity for analysis.
- Develop complex SQL queries and scripts to extract insights from large databases.
- Create interactive dashboards and visualizations using Tableau and Power BI for executive reporting.
- Collaborate with cross-functional teams to identify business needs and translate them into analytical models.
- Perform statistical analysis and forecasting to support strategic planning and market research.
- Document data pipelines and analytical processes to ensure reproducibility and knowledge sharing.
Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of professional experience as a Data Analyst or Data Scientist.
- Strong proficiency in SQL (PostgreSQL, MySQL) and experience with Python or R.
- Expertise in data visualization tools such as Tableau or Power BI.
- Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.
- Experience with cloud data warehouses (AWS Redshift, Google BigQuery) is a plus.