Business/Data Analyst

I. Job Responsibilities

• Partner with the Product Owners to prioritize customer segments, identify value pools and quantify business opportunities across journeys
• Analyze customer, transaction, engagement, operational and risk data to diagnose pain points, identify root causes and support product and journey prioritization
• Lead current-state assessment and future-state journey design, translating business objectives into process flows, capability requirements, user stories and acceptance criteria
• Define KPI trees and measurement frameworks for squad outcomes, including metric definitions, baselines, targets and reporting mechanisms
• Collaborate with Risk, Compliance, Operations, Technology and Data teams to validate business rules, controls, dependencies and operational impacts
• Support backlog refinement, sprint planning, UAT, release readiness and post-launch performance tracking
• Develop reports and management insights that help Product Owners make data-driven prioritization decisions
• Measure initiative impact against business cases and recommend optimization opportunities based on data and customer insights

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II. Measurement Indicators

• Requirement and journey quality: story readiness, backlog quality, acceptance criteria completeness and clarity, UAT pass rate, defect leakage and rework rate
• Insights and analytics: reporting reliability, dashboard adoption and timeliness of performance reporting
• Delivery enablement: backlog readiness, release readiness, dependency closure and stakeholder satisfaction
• Value tracking and realization: business case accuracy, baseline and target completeness, post-release KPI and impact tracking and control/audit evidence completeness

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III. Key Qualifications and Experience

1. Education

• Minimum: Bachelor's Degree in Business Administration, Finance, Banking, Information Systems, Data Analytics, Statistics, Computer Science or a related field
• Preferred: Master's Degree in Business Analytics, Data Science, Finance or MBA; IIBA, CBAP, SQL, Power BI, Tableau or analytics certification preferred

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2. Experience

• 5–8 years in business analysis, product analytics, management consulting, data analytics, product management, process improvement or transformation in retail banking, cards, payments or financial services
• Over 3 years working with agile squads and cross-functional teams involving Product Owners, Segment/Marketing, Channels, Technology, Operations, Risk, Compliance and Data
• Proven expertise in requirements gathering, customer journey mapping, process redesign, user stories and performance analysis
• Hands-on experience with SQL, Excel, Power BI, Tableau or similar tools
• End-to-end cards and payments lifecycle, including onboarding, issuance, activation, transactions, servicing, engagement and loyalty

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3. Skillsets

• Strong problem-solving skills to translate ambiguous business issues into structured analysis and develop actionable recommendations
• Strong business analysis skills in requirement gathering, journey mapping, process design, user story creation, acceptance criteria and UAT planning
• Strong data analysis skills in SQL, cohort, funnel, segment, behavioral analytics and root-cause analysis
• Knowledge of cards and payments products, including onboarding, authorization, settlement, servicing, loyalty, merchant, fraud, operations, risk and compliance
• Understanding of customer lifecycle economics and product performance metrics

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IV. Attributes

• Strategic mindset: balance business needs, customer outcomes and data insight to support better prioritization and performance tracking
• Customer focus: understand customer and operational pain points through data to identify friction points and improvement opportunities
• Stakeholder balance: build trusted relationships across Product, Risk, Compliance, Technology, Operations, Channels, partners and regulators to align decisions and resolve trade-offs
• Drive results: translate priorities into OKRs, timely delivery, commercial impact and stronger controls
• Collaborate: collaborate across functions to convert requirements, data and insights into actionable squad decisions

 

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