Analyst – Data Science
American Express — Gurugram, Haryana
₹4–10 LPA (HireSetu estimate) · 0–1 yrs exp · Freshers eligible · Full-time · hybrid
HireSetu listing reference 09cb79 — confirm requirements below, then apply on the employer site.
Quick answer: This is a 0 to 18 month analytics job in Gurugram, hybrid, where the work feeds American Express finance and marketing teams: forecasts of key metrics, marketing investment and welcome-offer analysis, LTV and profitability models. A statistics, maths, economics or engineering degree gets you into range.
From American Express's job posting
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.
RESPONSIBILITIES
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.
QUALIFICATIONS
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.
Text from American Express's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
Put SQL and Python at the top
The skills list is flat, so your CV has to set the order. SQL and Python first, then anything that proves you can pull, clean and join messy data on your own. A dashboard you built end to end in Tableau or Power BI sits well below that, since the listing calls visualisation an advantage rather than a bar.
Hive, PySpark and Google Cloud appear as working knowledge. If a course or internship gave you any of them, name the project, however small. Otherwise leave them off and let the SQL and statistics carry the page. The 0 to 18 months window means final-year students and recent graduates are both in scope, so put your degree, its subject and your graduation date somewhere a recruiter sees in five seconds.
Where the numbers end up
Look at the audience: the CEO, CFO, executive committee, enterprise forecasting, investor relations, marketing and the business unit finance teams. That tells you what the output looks like. Yearly and long-term forecasts for planning, scorecards, and short written reads that a finance person can act on.
Modelling and hypothesis testing are listed, but the centre of gravity is commercial: welcome offers, incentives, return on investment across international markets, LTV and profitability. Expect much of the week in SQL and a notebook, then in a deck or dashboard, then on a call explaining what changed and why. Someone set on training deep learning models will find less of that here.
The role is hybrid in Gurugram, so confirm the office days before you accept.
Drafted with AI from American Express's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open American Express's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
Apply on American Express's site
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