Paytm Business Analyst – Paytm Ads | Analytics | Noida | Full-Time

Paytm’s interview process usually starts with a timed online aptitude test, followed by a technical interview that probes SQL proficiency, data interpretation, and BI tool knowledge. The final HR round assesses cultural fit, communication skills, and career goals. Candidates should focus on clear problem‑solving explanations and showcase real‑world analytics projects.

Paytm promotes a high‑energy, performance‑driven culture where innovation is encouraged and ideas are fast‑tracked. Employees benefit from mentorship programs, clear growth pathways, and a collaborative environment that balances challenging projects with supportive teamwork.

B.E. / B.Tech from a reputed engineering institute (any branch). Minimum 60% aggregate (or CGPA 6.0/10). No active backlogs at the time of joining. Fresh graduates from 2024‑2026 batches are preferred.

Round 1: Online aptitude and logical reasoning test → Round 2: Technical interview focusing on SQL, data analysis, and BI tools → Round 3: HR interview covering fit, communication, and career aspirations

Paytm, founded in 2010, has grown into India’s most trusted mobile payments and financial services platform. With a user base that spans over 350 million consumers and millions of merchants, Paytm powers everyday transactions, online shopping, bill payments, and a host of financial products. The company’s relentless focus on innovation has made it a pioneer in QR payments, digital wallets, and now a robust advertising ecosystem that helps brands reach a massive audience across its ecosystem. The Paytm Ads team sits at the intersection of product, data, and marketing, delivering performance‑driven campaigns to advertisers by leveraging transaction signals and behavioural insights. As a Business Analyst – Paytm Ads, you will be the analytical backbone of the team, turning raw data into strategic recommendations that shape product roadmaps, optimise campaign performance, and drive revenue growth. You will collaborate closely with product managers, data engineers, sales, and operations to ensure that every decision is backed by solid evidence. Key responsibilities include: 1. Designing, building, and maintaining automated dashboards and BI reports for product and advertising metrics. 2. Writing complex SQL queries to extract, transform, and analyse large‑scale datasets. 3. Conducting deep‑dive analyses of user funnels, retention, and feature adoption. 4. Planning and executing A/B tests, cohort analyses, and customer segmentation studies. 5. Monitoring and optimising key digital marketing KPIs such as CPM, CPC, CTR, and ROAS. 6. Translating campaign performance data into actionable insights for advertisers and internal stakeholders. 7. Partnering with cross‑functional teams to support data‑driven decision making across product, sales, and operations. 8. Preparing and presenting clear, concise reports and visualisations to senior leadership. 9. Staying updated with industry trends in AdTech, MarTech, and analytics tools. 10. Mentoring junior analysts and contributing to the team’s analytical best practices. The tech stack revolves around SQL, Python (for advanced analytics), and BI tools such as Tableau, Power BI, Looker, or Apache Superset. Familiarity with Google Ads and Meta Ads Manager is a plus, as is exposure to experimentation frameworks like Optimizely or internal A/B testing platforms. Growth path: Starting as a Business Analyst, high performers can progress to Senior Analyst, Analytics Lead, or Product Analytics Manager, eventually moving into strategic roles such as Head of Analytics or Business Intelligence Director. The role offers exposure to massive data volumes, cross‑functional collaboration, and the chance to influence products that impact millions of users. Why join Paytm? You’ll be part of a market‑leading digital ecosystem, work with cutting‑edge data technologies, and see the direct impact of your insights on business outcomes. The fast‑paced environment encourages ownership, continuous learning, and rapid career progression, making it an ideal launchpad for ambitious analytics talent.