Data Analyst Intern

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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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