Lead Analytics Specialist

Razorpay

3 - 7 years

5 - 9 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

payroll web analytics project management machine learning instrumentation qlikview data mining team building sql salesforce

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead Analytics specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts.
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.

Roles and Responsibilities:

You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed
You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML
You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view
You would conduct exploratory analyses, cohort studies, and funnel deep dives to uncover actionable insights that drive campaign efficiency, customer LTV, and retention strategies.
You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
You will develop compelling stories with business insights, focusing on strategic goals of the organization
You will work closely with Sales, Marketing, and Growth teams to optimize campaign performance, measure ROI, and improve attribution modeling and bid optimization.
Set high standards in project management; own scope and timelines for the team
Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.)
Drive central analytics initiatives that improve efficiency, automation, and standardization across analytics workflows.
Mentoring analysts within the team to deliver effectively, incubating new ideas.

Mandatory Qualifications:

Bachelors/Masters degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
5-7 years of high quality hands-on experience in analytics and data science and 3+ years on AdTech or MarTech
Mandatory experience in Ad Network Analytics - including campaign attribution, bid optimization, CAC/LTV modeling, and ad spend efficiency.
Hands on experience in SQL and Python
Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.
Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.
Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction
Work experience in Consumer-tech organizations would be a plus
Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities
Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

Preferred Qualifications

Experience in product analytics, including feature experimentation and user behavior analysis.
Exposure to machine learning models for churn prediction, personalization, and marketing automation.
Working knowledge of web analytics, growth marketing, and performance marketing strategies.

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