Data Analyst Intern

1 day ago

Mumbai, Maharashtra, India Grexa AI Full time ₹ 6,00,000 - ₹ 12,00,000 per year

About Grexa AI

Grexa AI is a venture-backed startup
on a mission to build the
world's first Marketing AI Platform for small businesses
- a fully autonomous system that drives Real Revenue by automating and optimizing digital marketing.

Founded by 4 seasoned IIT alumni and former Testbook Founders / CXOs
(scaled to $30Mn ARR business with 1,000+ employees, successfully acquired by a leading edtech company), the team brings deep product expertise, execution speed, and a track record of building at scale.

We're funded, building fast, and assembling a high-performing team
to disrupt the global digital marketing space from India. If you're excited to solve real problems and build transformative AI products - this is your calling.

Role Overview

We are seeking a
detail-oriented Data Analyst
to support
data-driven decision-making
by
building dashboards, automating workflows, and setting up ETL pipelines
. This role requires
strong analytical skills
and a
proactive mindset
to enhance business processes.

Key Responsibilities:

  • Design and maintain dashboards
    to visualize key metrics.
  • Conduct data analysis
    to uncover trends and insights for business decisions.
  • Collaborate with cross-functional teams
    to understand data needs and deliver solutions.
  • Work closely with the
    product, sales, and marketing team
    to align data strategies.
  • Automate repetitive workflows
    and data processes.
  • Develop and manage ETL pipelines
    for seamless data extraction, transformation, and loading.

Qualifications:

  • Bachelor's or Master's degree
    in
    Computer Science, Data Science, or a related field.
  • Proven experience in
    data analysis
    .
  • Experience in
    developing reports and dashboards
    in
    Metabase and Redash
    .
  • Strong proficiency in
    writing advanced Mongo queries
    .
  • Proficiency in
    Excel & Google App Script
    .
  • Analytical thinking
    with a solid understanding of
    data mining techniques
    .

  • Strong communication and collaboration skills
    , with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

  • Good to have:
    Experience working on
    Python
    for data processing and pipeline building using libraries such as
    Pandas, NumPy, and Matplotlib
    .

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