Job Description
Are you a data enthusiast ready to drive business growth?
Apex Analytics is seeking a highly motivated and analytical Data Analyst to join our dynamic team in Cincinnati, OH. In this pivotal role, you will transform complex datasets into actionable insights, empowering our stakeholders to make data-driven decisions. We offer a competitive salary, a collaborative work environment, and ample opportunities for professional development.
Why Join Apex Analytics?
- Work with cutting-edge technologies and modern data stacks.
- Be part of a diverse and inclusive company culture.
- Competitive benefits package including health, dental, and 401(k) matching.
Responsibilities
- Data Mining & Cleaning: Collect, integrate, and clean large volumes of structured and unstructured data from various sources to ensure accuracy and integrity.
- Statistical Analysis: Perform advanced statistical analysis to identify trends, patterns, and correlations within the data.
- Visualization: Develop intuitive and interactive dashboards using tools like Tableau or Power BI to present findings clearly to non-technical stakeholders.
- Reporting: Generate comprehensive monthly and quarterly reports that summarize key performance indicators (KPIs) and business metrics.
- Collaboration: Work closely with cross-functional teams including Marketing, Operations, and Finance to define data requirements and solve business problems.
- Process Improvement: Identify opportunities to automate reporting processes and improve overall data workflow efficiency.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- Experience: 3+ years of proven experience in data analysis or business intelligence.
- Technical Skills: Proficiency in SQL for querying databases and experience with visualization tools (Tableau, PowerBI, or Looker).
- Programming: Strong scripting skills in Python or R is a plus.
- Analytical Mindset: Exceptional attention to detail and the ability to think critically about data quality.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data concepts to a diverse audience.