Draup - Data Analyst - Python/SQL

Job Summary

Key Responsibilities

• Work closely with engineering teams on data availability and quality.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Track KPIs and performance metrics to support operational and strategic decisionmaking.
• Translate business needs into data analysis problems and deliver clear, actionable insights.
• Conduct root cause analysis on business challenges using structured data approaches.
• Communicate data insights effectively through presentations and reports.
• Identify gaps in data and opportunities for process automation.
• Develop and maintain documentation of reports, dashboards, and analytics processes.
  

Qualifications

• Bachelors degree in engineering, Statistics, Computer Science, Business, Economics, or a related field.
• 1-2+ years of professional experience in a Data Analyst or Business Analyst role.
• Proficiency in SQL is mandatory.
• Experience with Python (Pandas, Numpy)/R for data analysis is mandatory.
• Strong Excel/Google Sheets skills.
• Experience with data visualization tools (Tableau, Power BI, Looker, or Superset) is an additional plus.
• Strong Excel/Google Sheets skills.
• Basic understanding of statistical methods (descriptive stats, hypothesis testing).
• Knowledge of PySpark is an additional plus.
  

Key Skills

• Analytical Thinking & Problem-Solving
• Communication & Presentation Skills
• Data Storytelling
• Attention to Detai