Job Description
Are you a data enthusiast looking for a part-time opportunity in Cleveland, OH? We are currently seeking a skilled Data Analyst to join our dynamic team. You will leverage your analytical skills to drive decision-making processes and help us uncover hidden trends in our business data. This position offers a flexible schedule and the chance to work with cutting-edge tools in a collaborative environment.
Key Highlights:
- Flexible Hours: Work around your schedule with a part-time commitment.
- Competitive Pay: Earn between $25.00 and $45.00 per hour.
- Growth: Opportunity to upskill with the latest data technologies.
Don't miss this chance to advance your career in data analytics without the full-time commitment. Apply today!
Responsibilities
- Data Extraction & Cleaning: Collect, clean, and preprocess large datasets from various sources to ensure high data quality.
- Statistical Analysis: Perform quantitative and qualitative analysis to identify trends, patterns, and correlations within the data.
- Dashboard Creation: Develop and maintain interactive dashboards using Tableau or Power BI to visualize key performance metrics for stakeholders.
- Reporting: Generate comprehensive reports and executive summaries that translate complex data into actionable business insights.
- Collaboration: Partner with cross-functional teams (Marketing, Sales, Operations) to understand their data needs and provide analytical support.
- Database Management: Assist in maintaining databases and ensuring data integrity and security standards are met.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related quantitative field.
- Technical Proficiency: Strong command of SQL for querying databases; experience with Python or R is a plus.
- Tools: Demonstrated experience with data visualization tools such as Tableau, Power BI, or Looker.
- Experience: 1-3 years of professional experience in data analysis or a similar analytical role.
- Communication: Excellent written and verbal communication skills with the ability to explain complex data to non-technical audiences.
- Attention to Detail: Meticulous approach to data handling and report generation.