Job Description
The Opportunity:
Lumina Tech Solutions is seeking a detail-oriented Part-Time Data Analyst to join our dynamic Phoenix-based team. If you thrive in a flexible work environment and possess a keen eye for turning raw data into actionable business intelligence, we want to hear from you.
In this role, you will have the unique opportunity to drive decision-making processes while enjoying a schedule that respects your work-life balance. We value precision, autonomy, and the ability to communicate complex findings clearly.
Why Join Lumina?
- Flexible Schedule: Tailored hours that fit your lifestyle, perfect for students or those seeking secondary income.
- Autonomy: Work independently on high-impact projects with minimal supervision.
- Growth: Exposure to diverse datasets and a chance to sharpen your analytical skills.
Responsibilities
- Extract, clean, and transform large datasets using SQL and Python to ensure data integrity for reporting.
- Design, develop, and maintain interactive dashboards in Tableau and PowerBI to visualize key performance indicators (KPIs).
- Collaborate with cross-functional teams (Marketing, Sales, Operations) to understand data needs and translate them into technical requirements.
- Conduct ad-hoc analysis to support strategic decision-making and identify trends or anomalies in business performance.
- Create comprehensive reports and documentation to share insights with the broader organization.
- Monitor data pipelines and perform routine quality checks to prevent data discrepancies.
Qualifications
- Proven experience (2+ years) in data analysis, preferably in a part-time or contract capacity.
- Strong proficiency in SQL for querying and managing databases.
- Expertise in data visualization tools such as Tableau, PowerBI, or Looker.
- Familiarity with programming languages like Python or R for data manipulation.
- Excellent analytical skills with the ability to interpret complex data sets and present actionable insights.
- Strong verbal and written communication skills to convey technical concepts to non-technical audiences.