Job Description
Join the Analytics Revolution in Charlotte, NC
We are looking for a Senior Data Analyst to join our dynamic team at Apex Analytics Solutions. If you are passionate about turning raw data into actionable insights and driving business growth, we want to hear from you. This is an exciting opportunity to work in a fast-paced environment where your analytical skills will directly impact strategic decision-making.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work with cutting-edge tools and technologies.
- Flexible remote and hybrid work options in Charlotte.
- A culture of continuous learning and professional development.
Responsibilities
- Data Mining & Analysis: Gather, clean, and analyze large datasets to identify trends, patterns, and correlations that influence business strategies.
- Dashboard Creation: Design and develop interactive, intuitive dashboards using Tableau and Power BI to visualize key performance indicators (KPIs) for stakeholders.
- Statistical Modeling: Apply advanced statistical techniques and predictive modeling to forecast trends and support data-driven decision-making.
- SQL Optimization: Write efficient SQL queries and scripts to extract data from relational databases and ensure data integrity.
- Stakeholder Collaboration: Partner with product managers, engineers, and executives to define metrics and present complex data findings in a clear, concise manner.
- Reporting: Create regular and ad-hoc reports that provide actionable insights to drive revenue growth and operational efficiency.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
- Experience: Minimum of 3-5 years of professional experience in data analysis or business intelligence.
- Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy, Scikit-learn).
- Visualization: Proven experience creating visualizations in Tableau or Power BI.
- Communication: Excellent verbal and written communication skills with the ability to translate technical concepts for non-technical audiences.
- Tools: Familiarity with ETL tools (e.g., Airflow, Talend) and big data technologies (e.g., Hadoop, Spark) is a plus.