Senior Staff Analytics Specialist

2 weeks ago

Bengaluru, India Razorpay Full time

Job Description

The Analytics Team at Razorpay is a group of curious problem solvers who drive data-led decision-making across the organization. We work on high-impact business challenges, leveraging data mining, experimentation, statistical analysis, and machine learning where applicable.

You will be partnering closely with Business, Marketing Product teams to drive insights, optimize strategies, and create measurable impact. This role is ideal for someone who thrives on solving ambiguous problems, mentoring high-performing teams, and using data to influence business outcomes.

Strategic Analytics Business Insights

- Develop a deep understanding ofad network performance, customer engagement, and marketing analytics, identifying high-impact opportunities for optimization.
- Define and refine key business metrics, ensuringaccurate tracking, instrumentation, and data qualityin collaboration with engineering teams.
- Conductexploratory analyses, cohort studies, and funnel deep divesto uncover actionable insights that drivecampaign efficiency, customer LTV, and retention strategies.
- Work closely withSales, Marketing, and Growth teamsto optimize campaign performance, measure ROI, and improveattribution modeling and bid optimization.
- Structure problem-solving frameworks thatdrive measurable impact across customer engagement initiatives.

Experimentation Optimization

- Design and analyzeA/B teststo measure the impact of marketing campaigns, product features, and engagement strategies.
- Ensurestatistical rigorin all analyses, experiment designs, and hypothesis testing to validate growth initiatives.
- Develop scalable methodologies forpredictive modeling, churn analysis, and personalized engagement strategies.

Data Strategy Automation

- Buildself-serve analytics solutionsusingTableau, SQL, and Python, empowering stakeholders with real-time insights.
- Collaborate withdata engineering teamsto enhancedata pipeline efficiency, scalability, and governance.
- Drive central analytics initiatives thatimprove efficiency, automation, and standardizationacross analytics workflows.

What we're Looking ForMandatory Qualifications

- 8+ yearsof experience inAnalytics Data Science, with4+ years in Tech (AdTech, MarTech, Consumer Tech, FinTech, SaaS, or E-commerce preferred).
- Mandatory experience in Ad Network Analytics- includingcampaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
- Expertise inSQL, Python, and Tableaufor large-scale data analysis.
- Proven track record inmarketing, growth, and engagement analytics, includingcustomer segmentation, funnel optimization, and retention modeling.
- Experience inA/B testing, hypothesis testing, and statistical modeling.
- Ability to translate complex analytical insights intoclear, data-driven business recommendationsfor senior stakeholders.

Preferred Qualifications

- Experience inproduct analytics, includingfeature experimentation and user behavior analysis.
- Exposure tomachine learning modelsforchurn prediction, personalization, and marketing automation.
- Working knowledge ofweb analytics, growth marketing, and performance marketing strategies.

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