Senior Associate, Business Analysis

Capital One; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Capital One India is seeking a Senior Associate in Business Analysis to apply analytical skills to major company challenges. You will work with cross-functional teams to develop and test strategies impacting compliance and risk, in a collaborative environment that values insights and welcomes new responsibilities.

The role focuses on building AI-led software products, leveraging data methodologies, statistics, and machine learning to support decision-making and policy improvements.

Qualifications

• Bachelor's degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative focus.
• At least 2 years of experience in data analysis or business analysis.
• Experience in R or Python for large scale data is preferred.

Responsibilities

• Bridge business context with data-driven insights by partnering with cross-functional teams to define problems and shape analytical approaches.
• Translate ambiguous business problems into clear analytical questions, use cases, and structured solution approaches.
• Interpret and translate complex analytical outputs into clear, actionable insights and recommendations that inform business strategy.
• Communicate technical concepts effectively to diverse audiences, including senior leadership, through structured presentations and storytelling.

Skills

Analytical skills

Business analysis

Education

Bachelor's degree in statistics/math/engineering/economics/econometrics/financial engineering/finance/OR

Tools

R

Python

Job description

Voyager (94001), India, Bangalore, Karntaka

Senior Associate, Business Analysis

At Capital One data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Today, we are a high-tech company, a scientific laboratory, and a nationally recognized brand all in one impacting over 65 million customer accounts. Still founder-led by Chairman and CEO Richard Fairbank, we dare to dream, disrupt, and deliver a better way for our customers, the financial industry and for each other.

As a Senior Associate at Capital One, you will apply your analytical skills to major company challenges. You'll team with world-class professionals to develop and test strategies that ultimately impact how the company manages compliance and risk. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

Team Description

At Capital One India, we are at the cutting edge of building AI-led software products that solve fundamental business challenges using advanced data methodologies, statistics, and machine learning.

Our Marketing as a Service (MaaS) for dealers team develops intelligent platforms that enable auto dealerships across the US to seamlessly run their digital marketing. We build products that help these dealerships create and manage targeted digital advertising campaigns to generate high-quality leads. By leveraging deep expertise in US car dealership dataincluding inventory, loan applications, and marketing metricsour AI and predictive models automatically optimize and personalize campaigns for each individual dealership.

As the team driving these MaaS products, we own the end-to-end product lifecycle: understanding user needs, conducting business analysis, and engineering the right solutions to develop and maintain. To support this ecosystem, our team also builds robust monitoring and reporting infrastructure using tools like AWS, Snowflake, and Python.

Our mission is to empower data-driven decision-making, foster limitless innovation, and help US auto dealerships grow their businesses through intelligent, automated advertising.

Role Description

General responsibilities include but are not limited to:

• Bridge business context with data-driven insights by partnering with cross-functional teams (business, data science, engineering, product) to define problems and shape analytical approaches.
• Translate ambiguous business problems into clear analytical questions, use cases, and structured solution approaches.
• Ensure models and analyses are grounded in real-world business context; validate outputs against expected behavior and refine hypotheses accordingly.
• Interpret and translate complex analytical outputs into clear, actionable insights and recommendations that inform business strategy.
• Communicate technical concepts effectively to diverse audiences, including senior leadership, through structured presentations and storytelling.
• Collaborate with stakeholders to understand processes, identify gaps, and uncover opportunities to improve decision-making and policies.
• Support product adoption by helping users understand, trust, and act on analytical outputs.
• Act as a liaison between business users and the product team; gather feedback and drive continuous improvement in solutions and workflows.
• Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment.

The ideal candidate is:

• Inquisitive: You thrive on solving big, undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.
• Technical: Youre comfortable developing complex analytical solutions. You have hands-on experience conducting business analyses using open-source tools.
• Innovative: You continually are on the lookout for novel approaches, solutions and emerging technologies to solve business problems. You stay current on regulatory changes, state-of-the-art methods, technologies, and applications and seek out opportunities to adapt to them.

Basic Qualifications:

• Bachelors degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative focus.
• At least 2 years of experience in data analysis or business analysis.

Preferred Skills:

• Experience in financial services, technology, or other highly regulated industries.
• 2+ years of experience in R or Python for large scale data.