Job Description
Are you a detail-oriented Data Analyst looking for a part-time opportunity that offers flexibility and growth?
Apex Analytics Solutions is seeking a skilled professional to join our growing team in Columbus, Ohio. In this role, you will leverage your expertise in data analysis to drive strategic decision-making across our organization. We pride ourselves on a collaborative culture and offer relocation assistance for the right candidate.
As a part-time Data Analyst, you will work with cross-functional teams to interpret complex data sets, build insightful visualizations, and present findings that influence business outcomes. If you are passionate about turning raw data into actionable intelligence, we want to hear from you.
What You’ll Do:
- Collect, clean, and process large sets of data to identify trends and insights.
- Develop and maintain interactive dashboards (e.g., Tableau, PowerBI) to visualize key performance indicators (KPIs).
- Perform statistical analysis to support business requirements and project goals.
- Collaborate with stakeholders to define data needs and reporting structures.
- Create detailed reports and presentations to communicate analytical findings to management.
- Ensure data accuracy and integrity across all reporting systems.
Responsibilities
- Collect, clean, and process large sets of data to identify trends and insights.
- Develop and maintain interactive dashboards (e.g., Tableau, PowerBI) to visualize key performance indicators (KPIs).
- Perform statistical analysis to support business requirements and project goals.
- Collaborate with stakeholders to define data needs and reporting structures.
- Create detailed reports and presentations to communicate analytical findings to management.
- Ensure data accuracy and integrity across all reporting systems.
Qualifications
- Bachelor’s degree in Mathematics, Computer Science, Statistics, or a related field (or equivalent work experience).
- Proven experience with SQL for data extraction and querying.
- Proficiency in programming languages such as Python or R.
- Strong analytical mindset with the ability to interpret complex datasets.
- Experience with data visualization tools (Tableau, PowerBI, or Looker).
- Excellent communication skills, both written and verbal.