Business Analyst - Data (Banking Domain)
Capco
Job Title: Business Analyst - Data (Banking Domain):
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.
MAKE AN IMPACT
Experience: 8+ yr
Job Description – Business Analyst (Analytics / Data):
- Strong Business Analyst or Data Analyst experience with expertise in data analysis and data modelling.
- Experience working with data modelling tools and understanding of model governance frameworks.
- Ability to analyse data structures and understand their impact on product and solution design.
- Experience gathering and documenting data requirements, supporting design and validation of analytical solutions.
- Exposure to Google Cloud Platform (GCP) and cloud-based data environments is desirable.
- Strong analytical, communication, and stakeholder management skills, with experience working across data, product, and technology teams.