Product Analyst – Cards Business

SYTalent; Gurugram District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Sytalent is seeking a high-calibre Product Analyst to drive data-led decisions for the Cards business within a leading financial services organisation. The role combines strong technical skills, financial services understanding, and extensive use of AI-powered tools to uncover opportunities and boost product performance.

You will analyse end-to-end performance, build models and dashboards, and collaborate with product, engineering, risk, and technology teams to translate data into actionable

Qualifications

• 2–5 years of experience in Product Analytics, Business Analytics, or Product Management in banking/fintech/financial services.

Responsibilities

• Analyse end-to-end cards business performance across acquisition, activation, transactions, revenue, engagement and retention.

Skills

SQL

Python

Excel

Data analysis

AI tools

Stakeholder management

Communication

Education

B.Tech / B.E. or Master’s in Technology/Engineering/CS or MBA (Tier 1)

Tools

Tableau

Power BI

Job description

We are looking for a high-calibre Product Analyst to drive data-led product decisions for the Cards business within a leading financial services organisation. The ideal candidate will combine strong technical foundations, analytical thinking, financial services understanding, and extensive use of AI-powered tools to solve complex business problems and improve product performance.

Key Responsibilities

• Analyse end-to-end cards business performance across acquisition, activation, transaction volumes, spends, revenue, engagement, and retention.
• Leverage large datasets to identify trends, customer behaviour patterns, business opportunities, and product improvement areas.
• Build analytical models, dashboards, and performance frameworks to support strategic product decisions.
• Use AI tools, LLMs, and automation extensively to accelerate data analysis, generate insights, automate workflows, and improve productivity.
• Work closely with Product, Engineering, Business, Risk, and Technology teams to drive product innovation and optimisation.
• Conduct customer segmentation, cohort analysis, funnel analysis, and experimentation to improve card adoption and usage.
• Translate complex business requirements into analytical solutions and actionable product recommendations.
• Evaluate product launches, features, campaigns, and initiatives through data-driven performance measurement.

Required Skills & Experience

• B.Tech / B.E. or Master's degree in Technology, Engineering, Computer Science, or an MBA from a Tier 1 institution.
• 2–5 years of experience in Product Analytics, Business Analytics, or Product Management, preferably within banking, fintech, payments, or financial services.
• Strong technical proficiency in SQL, Python, advanced Excel, and data analysis.
• Excellent understanding of data structures, analytical frameworks, databases, and technology-driven business environments.
• Demonstrated hands‑on adoption of AI tools, LLMs, AI agents, and automation platforms to improve analytical productivity and problem-solving.
• Experience with BI and visualisation tools such as Tableau, Power BI, or equivalent.
• Strong understanding of product metrics, customer analytics, experimentation, and business performance measurement.
• Exceptional problem-solving, communication, and stakeholder management skills.

Preferred Experience

• Exposure to credit cards, debit cards, payments, digital banking, or consumer lending.
• Understanding of card transaction lifecycle, authorisations, declines, interchange, chargebacks, and transaction economics.
• Experience working with large-scale transaction datasets and technology‑led product ecosystems.
• Ability to combine business understanding, technical depth, and AI capabilities to deliver measurable outcomes.

Shortlisted candidates will be informed. This is a work from office only role.

Skills: product management,data analysis,automation,technology,financial services,cards,data,analytics