Analyst - Data Science
Gurugram, HR, India
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDeliver yearly and long-term forecasts and actuals for key finance and acquisition KPIs
Analyze welcome offer and incentive investments across international markets
Support LTV and finance profitability models and marketing investment optimization
Produce analytical studies, insight suites and scorecards for business partners
Mine, cleanse and transform data to support analysis and insights
From the employer’s posting
Deliver on forecasting & actualization of key Finance & Acquisition KPIs
Provide insights into welcome offers & incentive investments across international markets.
Support on LTV, finance profitability models & enable optimization of marketing investments.
Deliver analytical studies with actionable insights while engaging with partners on their questions.
Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights.
Tools in this posting
- Python
- SQL
- Hive
- Power BI
- Tableau
- PySpark
- GCP
Source — Tool mentions in context
- Strong analytical skills combined with excellent presentation and interpersonal skills. - Working knowledge of Python, MLS, PySpark, SQL, Hive, Google Cloud. - Working knowledge of data visualization tools like Tableau and Power BI will be advantage.
- Working knowledge of Python, MLS, PySpark, SQL, Hive, Google Cloud. - Working knowledge of data visualization tools like Tableau and Power BI will be advantage. - Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 19, 2026 · 2 days ago
- Recorded sightings
- 15
- Last seen by us
- Oct 21, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Data Science and Analytics team primarily focuses on International Customer Investment Optimization and Prospect Data Analytics. Team’s focus is to help marketing and LFOs drive business by being indispensable partners providing consultation on Return on Investment (ROI), Investment Utilization, Revenue Yield and key performance metrics. Our stakeholders are across the enterprise, including the CEO /CFO, Executive Committee, Enterprise Forecasting, Planning & Analysis, Investor Relations, Marketing, Risk, and the BU CFO teams.
The key vision of the team is to transform the way data science credibly drives sustainable, long-term growth for the enterprise as early adopters of next-generation technology. We re-invent forecasting, tracking and analytical processes leveraging the latest tools and setting the standard for advanced analytics.
- Deliver on forecasting & actualization of key Finance & Acquisition KPIs to provide an early read for making agile decisions.
- Support American Express planning process with yearly & long-term forecasts for key metrics.
- Provide insights into welcome offers & incentive investments across international markets.
- Support on LTV, finance profitability models & enable optimization of marketing investments.
- Deliver analytical studies with actionable insights while engaging with partners on their questions.
- Design and deliver high-quality business insight suites, scalable solutions, and accurate scorecards in a timely manner.
- Work with cross-functional teams to find opportunities, understand business processes and propose new solutions.
- Adapt to emerging technology to develop clean well executed concepts and coordinate with cross functional teams on new solutions.
- Analyze the existing environment and derive opportunities, recommend alternative solutions to problems.
- Plan project deliverables, prioritize day-to-day tasks, create project documentation, design, and monitor business performance indicators.
- Attend ad-hoc requests on solution support without impacting quality or timeliness.
- Bachelors in Statistics/Mathematics/Economics/Engineering with relevant experience.
Preferred: Post Graduation in Statistics/Mathematics/Economics/Engineering/Management. - Work Experience: 0-18 months.
- Strong analytical skills combined with excellent presentation and interpersonal skills.
- Working knowledge of Python, MLS, PySpark, SQL, Hive, Google Cloud.
- Working knowledge of data visualization tools like Tableau and Power BI will be advantage.
- Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights.
- Hands on in modelling, ML, statistics and hypothesis testing techniques.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, HR, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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