Job Description
About us/Company overview:
PEP is a dynamic personal care company that proudly houses two innovative brands –
mCaffeine \& Hyphen
. With a passion for creating high-performance, conscious, and consumer-loved products, we are redefining the way personal care is experienced. While mCaffeine is India’s first caffeinated personal care brand, loved for its energizing and playful approach, Hyphen is built on the philosophy of simplifying skincare through science-backed formulations. Together, our brands reflect PEP’s mission to deliver quality, creativity, and care to millions of consumers. We believe in Confidence over all skin \& body biases.
Come, join the pack!
About the role:
Join
mCaffeine \& Hyphen
as a
Business Analyst
, where you’ll work at the intersection of
data, business, and technology
to drive smarter decision-making. In this role, you’ll partner with cross-functional teams to analyze data, uncover insights, and improve business processes across a fast-scaling D2C environment. If you enjoy solving real business problems with data and thrive in a high-ownership startup setup, this role is for you.
What You’ll Do:
- Partner with cross-functional teams (growth, operations, finance, product) to understand business problems and translate them into
data-driven insights and solutions
.
- Gather, document, and analyze
business requirements, workflows, and processes
.
- Translate business needs into
clear functional specifications
for tech and product teams.
- Analyze large datasets to identify
trends, inefficiencies, and opportunities for improvement
.
- Drive visibility of key metrics and performance through
dashboards, reports, and analysis
.
- Continuously evaluate existing systems and processes to identify
automation or optimization opportunities
.
- Maintain project documentation and track progress across initiatives.
- Work closely with developers, project managers, and stakeholders to ensure
smooth project execution and delivery
.
What We’re Looking For:
- 2–3 years of experience
in Business Analytics / Data Analytics / Business Intelligence roles
- Strong analytical skills with hands-on experience in
SQL, Python, and Excel
- Ability to work with
large datasets and translate insights into actionable business recommendations
- Strong communication skills with the ability to work with
both technical and non-technical stakeholders
- Highly proactive,
self-driven, and comfortable in a fast-paced startup environment
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