Job Description
Are you a data enthusiast looking for a flexible role that offers significant growth potential? Apex Analytics is seeking a highly skilled Part-Time Data Analyst to join our dynamic team in Columbus, Ohio.
In this role, you will have the unique opportunity to drive strategic decision-making by transforming raw data into actionable insights. We believe in rewarding our team members generously, which is why we offer competitive compensation packages paired with equity options, ensuring you have a stake in the company's future success.
Whether you are an experienced analyst or a rising talent, this position offers the perfect blend of independence and collaboration in a modern, high-tech environment.
Responsibilities
- Data Management: Collect, clean, and validate large datasets to ensure high-quality analysis and reporting standards.
- Visualization: Design and develop interactive dashboards using Tableau, Power BI, or Looker to visualize key performance indicators (KPIs) for stakeholders.
- Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and anomalies within the data.
- Reporting: Prepare comprehensive written reports and executive summaries that translate technical findings into business recommendations.
- Stakeholder Collaboration: Work closely with marketing, sales, and product teams to understand data needs and define project scopes.
- Process Optimization: Identify inefficiencies in current data processes and propose innovative solutions to streamline operations.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field is required.
- Technical Skills: Proficiency in SQL for data extraction and scripting languages such as Python or R.
- Tools: Strong experience with data visualization tools (Tableau, Power BI, or similar).
- Experience: Minimum of 2 years of experience in data analysis or a related role.
- Communication: Exceptional ability to communicate complex data concepts to non-technical audiences clearly and concisely.
- Attention to Detail: Meticulous approach to data accuracy and thoroughness in testing analytical models.