Senior Consultant - Data Analyst (Business & Data Transformation)

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

About The Job

Capco's Data Team helps financial institutions transform their businesses through data strategy, data management, data governance and enterprise data transformation.

We are looking for a Senior Data Analyst who combines strong technical data analysis capabilities with business acumen and stakeholder engagement skills. The role requires someone who can understand business challenges, translate requirements into technical analysis and communicate insights effectively to business and technology stakeholders. You will work across different banking domains, data platforms and client environments.

Eligibility to Work in Singapore

Applicants must have unrestricted working rights in Singapore. Only Singapore Citizens and Singapore Permanent Residents (PRs) will be considered. Employment Pass sponsorship is not available for this role.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Responsibilities

Lead business and data discovery activities, engaging stakeholders to understand business processes, requirements and data consumption needs; Facilitate workshops and discussions with business and technology teams to clarify requirements, investigate data challenges and validate findings; Translate business requirements into data specifications, source-to-target mappings and analytical assessments; Analyse data models, data lineage, transformation logic and upstream/downstream dependencies; Perform hands-on data analysis, profiling, reconciliation and data quality assessments using SQL and other data processing technologies; Assess business rules, reporting metrics and data transformations to identify gaps, inconsistencies and standardisation opportunities; Support Data Product definition, data governance assessments and target-state recommendations; Present technical findings, data issues and recommendations in clear, business-friendly language; Guide junior Data Analysts and collaborate with cross-functional teams to deliver high-quality outcomes

Requirements

7+ years of experience in Data Analysis, Data Management, Business Analysis or related disciplines, preferably within banking and financial services; Strong hands-on experience with data processing technologies, including SQL, Python, PySpark and Scala; Proven experience engaging business stakeholders, gathering data requirements and translating business needs into technical analysis; Strong knowledge of source-to-target mapping, data lineage, ETL/ELT logic, data modelling and data quality assessment; Experience analysing relational databases, data warehouses, data marts and enterprise data environments; Ability to interpret complex business processes, business rules and reporting requirements, and assess their implications for data; Excellent communication and presentation skills, with the ability to explain complex technical findings to non-technical stakeholders; Strong analytical thinking, structured problem-solving, adaptability and ability to work independently across different client environments

Nice to have

Prior management or technology consulting experience; Experience across Financial Crime, Lending, Payments, Risk, Compliance or Finance; Knowledge of enterprise Data Products, data governance and metadata management; Experience with data visualisation tools such as Power BI, Tableau or Qlik Sense; Familiarity with cloud data platforms and modern data architectures

Benefits

Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry; Work in a collaborative, flat, and entrepreneurial consulting culture; Access continuous learning, training, and industry certifications; Be part of a team shaping the future of digital financial services; Help shape the future of digital transformation across FS & Energy; A work culture focused on innovation and creating lasting value for our clients and employees; Ongoing learning opportunities to help you acquire new skills or deepen existing expertise in our financial services offerings; A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients; An agile, diverse, entrepreneurial, inclusive, meritocratic culture