Job Description
We are seeking a highly skilled and detail-oriented **Part-Time Data Analyst** to join our innovative team. This is a unique opportunity to work **remotely** for a company that values work-life balance, perfect for professionals based in **Minneapolis, MN**, or **North Carolina**.
In this role, you will leverage your analytical expertise to transform raw data into actionable business insights. You will be responsible for maintaining data integrity, creating compelling visualizations, and supporting key strategic initiatives. If you are looking for a flexible, part-time role that offers the freedom to work from home while making a significant impact, we encourage you to apply today.
In this role, you will leverage your analytical expertise to transform raw data into actionable business insights. You will be responsible for maintaining data integrity, creating compelling visualizations, and supporting key strategic initiatives. If you are looking for a flexible, part-time role that offers the freedom to work from home while making a significant impact, we encourage you to apply today.
Responsibilities
- Collect, clean, and validate complex datasets to ensure accuracy and consistency across multiple sources.
- Develop and maintain interactive dashboards using Tableau, Power BI, or Google Data Studio to visualize key performance indicators.
- Perform statistical analysis and trend identification to support business decision-making processes.
- Create comprehensive reports and presentations for stakeholders, translating technical findings into accessible insights.
- Collaborate with cross-functional teams to define data requirements and optimize reporting workflows.
- Identify process improvements and data-driven solutions to enhance operational efficiency.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- 2+ years of professional experience in data analysis, business intelligence, or a similar role.
- Proficiency in SQL for querying and manipulating databases.
- Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, macros).
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Strong analytical mindset with the ability to troubleshoot data issues and think critically.
- Excellent verbal and written communication skills to present data to non-technical audiences.