Senior Data Analyst

Job Description

Job Title: Senior Data Analyst - Data Governance 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: Mandate Skills : Data Analysis + Data Governance, Collibra, Python Location : Bangalore, Pune, Chennai, Hyderabad Notice: immediate to 30 Days Level: M3/M4 (7+ Years) Job Description 1.Design, document and advise on implementing Data Discovery and Data 2.Control Fix for a premier global bank in the wealth and personal banking segment extensively using Collibra 3.Responsible for updating and maintaining process metadata along with critical data elements, preferred business glossary and respective technical metadata for critical global services from various regions in the DG 4.Understand functions of various enterprise information management applications, map the data lineage of data elements along with the flow-types and consumption status 5.Work with data quality team and establish proactive data quality controls by implementing a strong and scalable governance process 6.Create and promote the use of common data assets, such as business glossaries, reference data, data inventories, data models and data catalogs within the organization thereby improving awareness about Data Governance 7.Monitor adherence to data policies and standards, governing potential policy deviations and escalating where necessary 8.Establish data quality standards, procedures and protocols to ensure the accuracy, completeness, and consistency of data across the organization 9.Assist in the implementation of data classification processes to protect sensitive information appropriately