Role Overview

• We are seeking a proactive and insight-driven Data Analyst with strong hands-on experience in Python, SQL, and Advanced Excel.
• This role is ideal for someone who thrives in a fast-paced environment, takes full ownership of data problems, and transforms raw data into meaningful insights that drive business decisions.
• You will work with minimal supervision and play a key role across data extraction, transformation, reporting, and analytics.

Key Responsibilities

• Extract, clean, transform, and validate data from multiple sources using SQL, Python, and Excel
• Design and maintain efficient ETL processes to support reporting and analytics needs
• Build insightful reports, dashboards, and analytical outputs that support operational and strategic decisions
• Perform exploratory data analysis to identify trends, patterns, risks, and opportunities
• Translate business questions into clear analytical approaches and actionable insights
• Ensure data accuracy, consistency, and integrity across reports and datasets
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Continuously improve data processes, reporting efficiency, and analytical methods

Required Skills & Qualifications

• Strong proficiency in SQL for querying, aggregations, and performance-aware data extraction
• Practical experience using Python for data manipulation and analysis e.g., pandas, numpy
• Advanced Excel skills Power Query, Pivot Tables, formulas, data modeling
• Solid understanding of data cleaning, transformation, and basic ETL concepts
• Ability to work independently, prioritize tasks, and deliver with minimal supervision
• Strong analytical thinking with a problem-solving and solution-oriented mindset
• Excellent attention to detail and data accuracy

Preferred Attributes:

• Ownership mindset with a strong sense of responsibility for outputs and outcomes
• Comfortable working in a fast-paced, dynamic, and evolving environment
• Curious, creative, and proactive in identifying better ways to use data
• Strong communication skills with the ability to explain insights to non-technical stakeholders
• Willingness to learn new skills, grow and give back to the business in same measure

What Success Looks Like:

•  Reliable, accurate, and timely reporting
• Actionable insights that influence decisions
• Improved data efficiency and reduced manual effort.