Data Analyst at Capco Singapore

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Playwright, API Testing, UI Testing, CI/CD, Azure DevOps, Jenkins, GitLab CI, Code Reviews, JIRA, XRay, Data Quality, MDM, Data Governance, SQL, Python, Data Profiling

Industry

Financial Services

Description

Job Title: Data Analyst About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description Role Overview We are looking for a Senior Testing Automation Expert with 4 to 8 years of hands‑on experience in designing, implementing, and leading automated testing strategies across complex programs. The ideal candidate has strong expertise in Playwright automation (API, UI, and non‑UI scenarios such as file and DB reconciliation), solid knowledge of CI/CD ecosystems, and prior experience in the financial services industry. This role also requires the ability to coach, coordinate, and drive testing standards across multiple teams, ensuring quality and consistency throughout the delivery lifecycle. Key Responsibilities Automation & Technical Delivery Design, develop, and maintain automated test suites using Playwright, covering: API testing UI testing Batch/File reconciliation automation Database verification & reconciliation Contribute to the definition of enterprise-level test automation frameworks and reusable libraries. Integrate automated tests into CI/CD pipelines (Azure DevOps, Jenkins, GitLab CI, or equivalent). Ensure automation reliability, stability, and alignment with program-level test strategies. Conduct code reviews, enforce best practices, and optimize pipeline execution times. Quality Governance & Coordination Define and enforce testing standards, guidelines, and best practices across the program. Coach and support testers and developers to adopt automation and quality engineering practices. Lead defect triage and collaborate with cross-functional teams (BA, Dev, Architects). Ensure proper documentation and traceability using JIRA and XRay. Act as a Quality Engineering point of contact for one or several functional streams. Domain Expertise Leverage prior experience in the financial industry (banking, asset management, trading, risk, or regulatory domains). Understand data flows, reconciliation needs, financial instruments, and reference data processes where applicable. Job Description: Location: Bengaluru Drive large-scale reference data remediation and quality control activities within an enterprise MDM transformation, combining automation-driven cleansing with investigation-based resolution and business stakeholder engagement. Key Responsibilities: Analyse data quality issues across large datasets (profiling, root-cause analysis, pattern identification) and design scalable remediation approaches. Define and execute data correction strategies using business rules, standardisation logic, and reference data sources (internal & external). Investigate complex data conflicts and duplicate entities, assemble evidence, and support authoritative value decisions with audit traceability. Partner with business units and system owners to coordinate remediation, enforce ownership, and prevent re-occurrence of issues. Develop validation checks, reconciliation controls, and data quality monitoring metrics to support migration and coexistence phases. Support automation of remediation activities by translating business rules into executable logic with data engineers / scripting tools (SQL/Python preferred). Required Experience 3–7 years in Data Quality, MDM, Data Governance, or Reference Data within financial services or large regulated environments Hands-on experience with large datasets (millions of records) Experience analysing data discrepancies across multiple systems Exposure to onboarding/KYC/counterparty/reference data strongly preferred Familiarity with reconciliation, data lineage, or audit evidence processes Technical Skills Strong SQL (mandatory) Excel / data analysis tooling (mandatory) Basic Python or scripting (preferred but not developer level) Data profiling / DQ tools (Informatica, Collibra, Ataccama, etc.) helpful Understanding of matching / duplicate detection concepts

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Responsibilities

The role involves designing, developing, and maintaining automated test suites using Playwright for API, UI, and file/DB reconciliation scenarios, while also contributing to enterprise-level test automation frameworks. Key duties include defining and enforcing testing standards, coaching teams on quality engineering practices, and acting as a Quality Engineering point of contact for functional streams.