🏢 Paytm
Business Analyst- Paytm Ads
💼 Fulltime
📍 Noida, Uttar Pradesh
⏰ Expired
🛠 Skills Required
SQL
Data Visualization
Tableau
Power BI
Superset
Looker
A/B Testing
Cohort Analysis
Digital Marketing Metrics
Google Ads
Meta Ads Manager
Product Analytics
Statistical Analysis
Communication
Problem Solving
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This job has expired
The application deadline was 30 Sep 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
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📚 Free Study Materials (4)
Aptitude and Reasoning Practice
Helps you sharpen quantitative and logical reasoning skills required for the initial online assessment.
Open Resource ↗
Interview Preparation Corner
Provides company‑specific interview experiences, common questions, and tips useful for Paytm’s technical rounds.
Open Resource ↗
Comprehensive Interview Guides
Offers structured interview guides, resume building tips, and mock interview questions for analytics roles.
Open Resource ↗
Coding Problem Sets
Contains a wide range of SQL and algorithm problems to practice for the technical assessment and interview.
Open Resource ↗
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⛔
This job has expired
The application deadline was 30 Sep 2026. This listing is no longer accepting applications.
Creator Pick · Promoted by Creator
🏆 Selection Process
Round 1: Online assessment (aptitude + SQL coding) → Round 2: Technical interview (product analytics, BI tools, case studies) → Round 3: Managerial interview (product sense, stakeholder management) → Round 4: HR interview (culture fit, compensation).
🏢 Work Culture
Paytm promotes a fast‑paced, innovation‑first environment where employees are encouraged to take ownership and experiment. The company offers flexible working hours, a collaborative atmosphere, and clear growth pathways, balancing high impact work with a supportive work‑life balance.
🎤 Interview Experience
Paytm’s interview process typically starts with an online aptitude and SQL test, followed by a technical interview focusing on product analytics, data interpretation, and BI tool proficiency. The final HR round assesses cultural fit and motivation. Candidates should be ready to discuss past analytics projects, walk through A/B test designs, and demonstrate clear communication.
✅ Eligibility Criteria
B.E. / B.Tech from a recognized engineering institute (any branch). Minimum CGPA/percentage not strictly defined, but a strong academic record is preferred. No active backlogs at the time of joining. Open to candidates from any graduating batch; freshers are not targeted for this senior role.
📋 About the Role
Paytm, founded in 2010, has grown into India’s most trusted mobile payments and financial services platform. With over 500 million registered users and more than 25 million merchants, the company powers everyday transactions ranging from utility bill payments to online shopping. Its ecosystem spans payments, commerce, financial products, and advertising, making it a pivotal player in the country’s digital economy. Paytm’s mission is to bring half a billion Indians into the mainstream economy through technology, and it continuously invests in data‑driven products to achieve that goal.
The Paytm Ads division is the advertising arm of this massive ecosystem. Leveraging transaction signals from millions of daily users, Paytm Ads offers brands a unique ability to target highly relevant consumer cohorts across both online and offline touchpoints. The platform integrates with over 200 payment, commerce, and retail services, giving advertisers unparalleled reach and precision. As brands increasingly look for performance‑driven advertising, Paytm Ads is positioned to become a market leader in the Indian ad‑tech space.
The role of Senior Manager – Product Analytics (listed as Business Analyst) is central to turning the wealth of data into actionable business outcomes. Reporting to the Head of Product, the incumbent will partner with product managers, data engineers, sales, and operations to surface insights that drive product enhancements, improve advertiser ROI, and accelerate growth. The position demands a blend of strong analytical rigor, storytelling ability, and a deep understanding of digital marketing metrics.
Key Responsibilities:
1. Design, build, and maintain automated dashboards and BI reports for core product and revenue metrics.
2. Write complex, performance‑optimized SQL queries to extract insights from large‑scale datasets.
3. Conduct funnel analysis, retention studies, and feature‑adoption tracking to uncover growth levers.
4. Lead A/B testing, cohort analysis, and segmentation studies to evaluate product and campaign impact.
5. Monitor and optimize key digital marketing KPIs such as CAC, ROI, CTR, and conversion rates.
6. Translate ambiguous business questions into structured analytical frameworks and deliver clear recommendations.
7. Collaborate with data engineering to ensure data quality, pipeline reliability, and schema evolution.
8. Mentor junior analysts and foster a data‑first culture within the product team.
9. Stay abreast of industry trends in AdTech, MarTech, and analytics tools to continuously improve methodologies.
10. Present findings to senior leadership with compelling visualizations and narratives.
Tech Stack & Tools: Advanced SQL (PostgreSQL/Presto), BI platforms (Superset, Tableau, Power BI, Looker), Python/R for statistical analysis, A/B testing frameworks, Google Ads & Meta Ads Manager, Git for version control, and cloud data warehouses (Snowflake/BigQuery).
Growth Path: Successful analysts can progress to Product Analytics Lead, then to Head of Analytics or Product Management roles, with exposure to cross‑functional leadership and strategic decision‑making.
Why Join Paytm Ads? You will work with a high‑performing, mission‑driven team that shapes the future of digital advertising in India. The role offers ownership, rapid decision‑making, and the chance to impact millions of users daily. Paytm’s inclusive culture, flexible work policies, and focus on continuous learning make it an ideal place for ambitious analysts to accelerate their careers.
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📋 Quick Info
JOB ID
C005-J180
POSTED
27 Aug 2026
TYPE
Fulltime
BATCH
All Batches
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