Business Analyst

3 weeks ago


Pune, India MARMA AI Full time

At MARMA.AI, we're building the next generation of analysts. Our interactive portal leverages AI to design real-world business challenges, provide instant feedback, personalized learning paths, and industry-oriented dynamic datasets. Whether learners are preparing for a career in data, upskilling, or simply curious, our mission is to bridge the gap between theory and execution and build a global community of data-literate professionals equipped to thrive in the AI era.


About the Role

We are looking for a
Business Analyst
with hands-on experience in
SQL
and
Python
. This is an exciting opportunity to work on real business challenges, analyze dynamic datasets, and contribute to building practical, AI-powered learning solutions.


Who Should Apply

  • Recent graduates or professionals with
    0–2 years of experience
  • Hands-on skills in
    SQL
    (data extraction, joins, aggregations) and
    Python
    (data wrangling, analysis, automation)
  • Exposure to
    e-commerce domain analytics
    is a plus, but not mandatory
  • Strong analytical mindset with the ability to translate data into actionable insights


What You'll Do

  • Work closely with product and data teams to design and analyze business problems
  • Leverage SQL and Python to extract, transform, and interpret data
  • Contribute to building
    industry-relevant datasets
    and analytical challenges for our platform
  • Provide insights that enhance learning journeys for our users
  • Stay curious, experiment with AI-driven tools, and continuously grow your analytical capabilities


Why Join Us?

  • Be part of a
    mission-driven team
    shaping the future of analytics learning
  • Hands-on exposure to
    real-world business problems
    across industries
  • Opportunity to contribute to an
    AI-powered learning platform
    used by aspiring analysts worldwide
  • Collaborative, growth-oriented culture


Location
: Remote


Experience
: 0–2 years

  • Skills
    : SQL, Python, Data Analysis

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