Job Description
Are you a data-driven professional seeking the flexibility of remote work? We are looking for a skilled Part-Time Data Analyst to join our growing team in Ohio. In this role, you will bridge the gap between complex data and actionable business insights, all from the comfort of your home office.
At Vertex Analytics, we pride ourselves on innovation and precision. As a remote data analyst, you will have the autonomy to manage your schedule while contributing to high-impact projects that drive our clients' success.
Why Join Us?
- 100% Remote Flexibility: Work from anywhere in Ohio (and beyond).
- Competitive Compensation: Hourly rate between $25 and $45.
- Professional Growth: Access to continuous learning and development resources.
Responsibilities
- Data Collection & Cleaning: Gather, clean, and validate datasets from multiple sources to ensure accuracy and integrity for analysis.
- Statistical Analysis: Perform complex statistical analysis and modeling to identify trends, patterns, and correlations within the data.
- Reporting & Visualization: Develop clear, concise, and visually appealing reports and dashboards (using tools like Tableau or PowerBI) to communicate findings to stakeholders.
- SQL & Database Management: Write efficient SQL queries to extract data and perform exploratory data analysis (EDA).
- Collaboration: Work closely with cross-functional teams (marketing, sales, finance) to understand their data needs and provide strategic recommendations.
- Process Improvement: Identify opportunities to automate manual processes and improve data reporting workflows.
Qualifications
- Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field is preferred.
- Experience: 2+ years of experience in data analysis or a similar role.
- Technical Skills: Proficiency in SQL (advanced queries), Python or R, and experience with visualization tools (Tableau, PowerBI, or Looker).
- Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
- Tools: Familiarity with Excel (advanced functions) and data warehousing concepts.
- Availability: Ability to commit to a minimum of 15-20 hours per week.