Job Description
We are seeking a visionary Data Analyst to join our high-impact team in Memphis, TN. This is a unique opportunity to leverage your analytical skills in a remote-first or hybrid environment, allowing you to drive data-driven decision-making from the heart of Tennessee while collaborating with top-tier talent across the United States.
As a Data Analyst, you will serve as the bridge between raw data and strategic business insights. You will work closely with cross-functional teams to uncover trends, optimize operations, and propose data-backed solutions that fuel our continued growth in the Memphis market and beyond.
Responsibilities
- Advanced Data Manipulation: Extract, clean, and transform large datasets using SQL and Python to ensure data integrity for analysis.
- Dashboard Creation: Design and develop interactive, visual dashboards using Tableau or PowerBI to track key performance indicators (KPIs) and share real-time insights with stakeholders.
- Statistical Modeling: Perform complex statistical analyses and predictive modeling to forecast trends and support long-term strategic planning.
- Stakeholder Collaboration: Partner with marketing, finance, and operations teams to define key metrics and interpret complex data findings into actionable business recommendations.
- Automated Reporting: Streamline reporting workflows by automating manual processes and creating scalable data pipelines.
- Data Governance: Ensure data quality standards are met and maintain documentation for data sources and methodologies.
Qualifications
- Education: Bachelor’s degree in Mathematics, Computer Science, Statistics, Information Systems, or a related quantitative field.
- Experience: 3+ years of professional experience in data analysis, business intelligence, or a similar analytical role.
- Technical Skills: Proficiency in SQL (advanced querying) and programming languages such as Python or R.
- Visualization: Strong command of data visualization tools like Tableau, PowerBI, or Looker.
- Communication: Excellent ability to translate complex data concepts into clear, concise narratives for non-technical audiences.
- Flexibility: Self-motivated individual capable of managing time effectively in a remote or hybrid work setting.