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Data Analyst

Capco
CompanyCapco
CategoryData & Analytics
LocationIndia
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted24 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Job Title: Data Quality   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. As a member of the Liquidity ADA Team in Global Treasury, you will be responsible for monitoring, diagnosing, and resolving issues in existing liquidity risk systems to ensure optimal performance. You will assist with database activities, data analysis, and the validation and implementation of new methodologies. Your responsibilities will include supporting the optimisation of stored procedures, contributing to the development and deployment of proof-of-concept models, and assisting with the creation of dashboards and analytical capabilities using tools like Tableau or Superset. This role involves close collaboration with cross-functional teams, effective problem solving, and a proactive approach to learning new technologies and industry best practices. You will also help maintain clear documentation for all processes and systems and contribute to the continuous improvement of risk management tooling and visualisation. Key responsibilities include but not limited to: · Support the ongoing maintenance and assist in the deployment of technical solutions (including MI & Analytics) to enable Liquidity Management decision making. · Monitor, diagnose, and help resolve issues in existing liquidity risk systems to maintain optimal performance. · Perform data analysis to validate and implement new methodologies under guidance. · Assist in the development and deployment of proof-of-concept models and support their integration into strategic architecture. · Collaborate with technology teams to implement new models into the group’s central systems. · Support updates to liquidity procedures to reflect new modelling approaches. · Work closely with cross-functional teams in a collaborative and inclusive environment. · Contribute to the continuous improvement of risk management tooling and visualisation.   Requirements:   Education & Experience   Bachelor’s degree in Finance, Technology, or a related field from a recognized educational institution.   1–4 years of relevant experience in data, reporting, or IT-related roles.   Technical Skills · Knowledge of Excel and a foundational understanding of database concepts. · Strong experience in database management, with advanced proficiency in SQL. · Ability to query, transform, and analyse large datasets (big data). · Experience with optimisation of stored procedures and supporting solutions related to liquidity modelling, ideally with exposure to Python. · Familiarity with data visualisation tools s
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