Business Analyst (BA) – Data-Driven Decision Maker | PhonePe

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Join Our High-Impact Analytics Team to Shape Products That Touch 300M+ Lives

Are you a first-principles thinker who thrives on data and uncovers the real story behind the numbers? Do you challenge the status quo and seek opportunities to solve complex business problems? If yes, we want you on our team.

As a Business Analyst (BA), you’ll have the opportunity to work with some of the sharpest minds in the industry, directly impacting decisions that influence over 20% of the Indian population. From conceptualizing problem statements to presenting insights at the highest levels, this role gives you end-to-end ownership.

Job Description :-
Company:PhonePe
Job Role:Business Analyst 
Batches:2021-2025
Degree:Bachelor’s degree
Experience:0.5 to 3 years
Location:Bangalore, INDIA
CTC/Salary:INR 5-16 LPA (Expected)

Key Responsibilities:

  • Define, track, and analyze critical business metrics that influence strategy within your designated pod.
  • Work closely with product managers and business leaders to frame analytical problems and identify impactful insights.
  • Drive deep-dive analyses to solve complex problems using data-driven hypotheses and unbiased evidence.
  • Go beyond just number crunching—think like a business owner, question metrics, and shape the direction of the product.
  • Act as a subject matter expert (SME) for analytics and dashboards, ensuring that data visualization enables swift and informed decision-making.

What You’ll Gain:

  • Hands-on experience working on high-scale product challenges affecting 300 million+ users.
  • Full ownership of your analytics area, from data discovery to executive presentations.
  • Cross-functional exposure and an opportunity to influence strategic decisions at the top level.

Eligibility Criteria:

  • Experience: 0.5 to 3 years in analytics or related roles. 2025 graduates are encouraged to apply.
  • Internship experience is a strong plus.

Essential Skills:

  • Proficient in SQL – ability to write complex queries across large datasets.
  • Strong foundation in problem-solving and analytical thinking.
  • Hands-on experience with Excel and data visualization tools like Power BI, Tableau, or QlikView.
  • Familiarity with Python or R for statistical analysis is highly desirable.
  • Understanding of core statistical concepts and data intuition.
  • Ability to tell compelling data stories, both visually and verbally.

Good to Have:

  • Exposure to machine learning models is a plus, though not mandatory.
  • Prior experience working with large-scale data environments.
  • Clear communication skills with the ability to explain technical insights to non-technical stakeholders.

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