
Data Analyst Intern
1 day ago
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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