Our Purpose

- Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._

Title and Summary

Senior Data Analyst

Senior Data Analyst - Open Finance (Level 7)

Location: Navi Mumbai, India (Hybrid - 3 days/week onsite)

Schedule: Evening working hours (India time)

Travel: None

About the Team

Mastercard’s Open Finance organization empowers financial institutions, fintechs, and digital platforms to access, analyze, and activate financial data responsibly. The Strategic Client Analytics team partners closely with clients to deliver insights that accelerate adoption, optimize product performance, and drive measurable business outcomes.

This Senior Data Analyst role is embedded within the Business Intelligence team but dedicated to supporting the Strategic Client Analytics function. You will operate at the intersection of BI development and client analytics — building impactful dashboards while also handling time‑sensitive client data needs.

Role Summary

We are seeking a highly skilled Senior Data Analyst who is equal parts technical and client-friendly. This role will be approximately 50% business intelligence (dashboard development, Snowflake/SQL work, data modelling, python coding) and 50% client analytics (ad‑hoc analysis, insights, funnel reporting, and urgent triage tasks).

You’ll work with a high degree of autonomy, execute critical client‑driven requests under tight timelines,



and build reporting assets that influence how clients and internal teams understand Open Finance performance.

This is a high‑visibility, high‑impact role ideal for someone who thrives in fast‑paced environments, enjoys solving complex analytical problems, and can translate data into compelling stories.

Key Responsibilities

Client Analytics (50%)

Execute, prioritize, and manage priority ad‑hoc client analytics requests using Snowflake and Tableau.

Perform funnel analysis, performance reporting, and account/customer/financial‑institution/transaction‑level analytics.

Conduct product analytics to evaluate usage trends and client performance.

Occasionally join client calls to walk stakeholders through reporting and help interpret insights.

Support clients across varying levels of technical maturity — from highly technical fintech partners to non‑technical enterprise clients.

Communicate insights with clarity, crafting data‑driven narratives that influence decision‑making.

Business Intelligence & Reporting (50%)

Build, maintain, and own key dashboards (internal and client‑facing) that support Open Finance reporting.

Partner with BI engineers, product teams, and client teams to enhance data pipelines and reporting capabilities.

Develop and maintain standardized reporting frameworks, including: Benchmarking methodologies

New KPI definitions and analytics standards





Collaborate with cross‑functional teams across North America, Europe, and Australia.

Required Qualifications

5-7+ years of experience in data analytics, business intelligence, or client analytics roles.

Advanced SQL skills and hands‑on experience with Snowflake.

Robust proficiency in Tableau, including dashboard development and performance optimization.

Demonstrated experience producing client‑ready insights and handling urgent analytical requests.

Proven ability to work independently, operate with urgency, and manage shifting priorities.

Strong data storytelling skills — able to translate complex data into clear narratives for business and technical audiences.

Awareness of Agentic AI tools, especially in the domain of Data Analytics.

Experience defining KPIs, developing analytics standards, or building benchmarking frameworks (required).

Comfortable working evening hours to collaborate with global teams.

Preferred Qualifications

Experience in fintech, open banking, financial data, or API‑driven products.

Prior experience in a client‑facing analytics role.

Familiarity with dbt, data modeling concepts, or version control (Git).

Exposure to transaction‑level or financial institution datasets.

Soft Skills & Working Style

Exceptional problem‑solving ability and analytical curiosity.

Ability to work with clients across a wide range of technical expertise.

Strong communication, influencing, and cross‑functional partnership skills.

A self‑starter mindset and ownership mentality.

Reporting Structure

Dual‑reporting model: Business Intelligence Team Manager

Strategic Client Analytics Team Manager

Daily collaboration with: Client Success

Client Teams

Product

Engineering

Regional teams across NA, EU, a

📌 Senior Data Analyst (Navi Mumbai)
🏢 Mastercard
📍 Navi Mumbai