Data Analyst

Uplevyl empowers women by providing the tools they need to develop business acumen, financial proficiency, digital fluency, and strategic leadership skills. We are seeking a Data Analyst with 3-5 years of experience to join our team. This role involves a strong focus on data analysis (60%) while also managing data pipelines and engineering tasks (40%).

Key Responsibilities:

• Analyze and interpret data to generate actionable insights that align with business needs.
• Develop and optimize ETL pipelines to ensure efficient data flow and scalability.
• Work with Python and PySpark for data processing and analysis.
• Create insightful dashboards and reports using data visualization tools.
• Perform clickstream data analysis to track user interactions and behaviors.
• Collaborate with cross-functional teams to enhance data-driven decision-making.
• Utilize AWS and cloud-based solutions for data management and processing.

Key Skills & Qualifications:

• 3-5 years of experience in data analytics and engineering.
• Proficiency in Python for data analysis.
• Hands-on experience with ETL processes and data pipeline management.
• Strong knowledge of PySpark for big data processing.
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
• Understanding of clickstream data analysis techniques.
• Familiarity with AWS and cloud-based data platforms.
• Working knowledge in AWS Glue, AWS Redshift, AWS Lambda and AWS S3.

If you’re a data-driven professional who enjoys working with large datasets, optimizing pipelines, and delivering valuable insights, we’d love to hear from you!