Job Description
Join our dynamic data team as a Weekend Data Analyst! This role offers the flexibility of a weekend schedule while working with cutting-edge analytics to drive business decisions. You'll transform raw data into actionable insights for our retail and logistics clients. Enjoy competitive pay, remote flexibility, and opportunities for growth in a collaborative environment.
Responsibilities
- Analyze large datasets using SQL and Python to identify trends and anomalies
- Create interactive dashboards in Tableau/Power BI for stakeholder reporting
- Prepare weekly performance reports highlighting key metrics and KPIs
- Collaborate with cross-functional teams to optimize operational efficiency
- Develop automated data pipelines to streamline reporting processes
- Present findings to leadership through clear visualizations and narratives
Qualifications
- Bachelor's degree in Statistics, Computer Science, or related field
- 2+ years of experience in data analysis or business intelligence
- Proficiency in SQL, Python (Pandas, NumPy), and Excel
- Experience with data visualization tools (Tableau, Power BI)
- Strong problem-solving and statistical analysis skills
- Ability to work independently during weekend shifts (Sat-Sun)
- Excellent written and verbal communication skills