Job Description
We are seeking a highly analytical and detail-oriented Senior Data Analyst to join our innovative team in Charlotte, NC. This is a unique hybrid opportunity, allowing you the flexibility of remote work while remaining connected to our vibrant corporate culture in the Queen City.
In this pivotal role, you will act as the bridge between raw data and business strategy. You will leverage your expertise to uncover actionable insights, drive decision-making, and optimize our operational efficiency. If you are passionate about transforming numbers into narratives and love solving complex puzzles, we want to hear from you.
Why Join Us?
- Flexible Work Environment: Enjoy the best of both worlds with a remote-first culture and a local office hub in Charlotte.
- Professional Growth: Access to continuous learning opportunities and mentorship from industry leaders.
- Competitive Compensation: A robust benefits package including health, dental, vision, and 401(k) matching.
Responsibilities
- Advanced Data Mining: Utilize SQL and Python to extract, clean, and integrate large datasets from multiple sources to ensure data integrity.
- Visual Storytelling: Design and maintain interactive dashboards in Tableau and Power BI that provide real-time visibility into key business metrics.
- Strategic Reporting: Develop comprehensive monthly and quarterly reports for executive leadership, highlighting trends, risks, and opportunities.
- Process Optimization: Identify inefficiencies in current reporting workflows and implement automated solutions to save time and reduce manual errors.
- Stakeholder Collaboration: Partner with cross-functional teams (Marketing, Sales, Operations) to define KPIs and translate business questions into data analysis plans.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related quantitative field.
- Experience: Minimum of 4-6 years of professional experience in data analysis, business intelligence, or a similar role.
- Technical Skills: Strong proficiency in SQL (PostgreSQL, Redshift, or Snowflake) and programming languages such as Python or R.
- Visualization: Hands-on experience with data visualization tools like Tableau, Power BI, or Looker.
- Communication: Exceptional ability to present complex data findings to non-technical stakeholders in a clear, persuasive, and actionable manner.