Senior - Data Analyst

KPMG · Mumbai

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Collected role description

Role overview

Senior - Data Analyst at KPMG

Employment details

Location: Mumbai [Maharashtra] [India]

About the employer

in India KPMG entities in India are professional services firm(s).
These Indian member firms are affiliated with KPMG International Limited.
KPMG was established in India in August 1993.
Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition.
KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors.
We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Review, analyze, and resolve data quality issues across IM Data Architecture 2.
Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions. 3.
Coordinate the onboarding of data from various internal / external sources into the central repository. 4.
Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules.
Work with IT on enhancing DQ controls. 5.
End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance. 6.
Interact with business stakeholders to identify, prioritize, and address data-related needs and issues. 7.
Document business requirements and use cases for data-related projects. 8.
Manage change control process and participate in user acceptance testing (UAT) activities. 9.
Implementation of data governance framework as a part of projects involved. 10.
Identify and escalate issues in a timely manner.
Support other DAG initiatives Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status.
KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity.
Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. 1.
Bachelor’s Degree required and any other relevant academic course a plus. 2.
Strong domain knowledge of investment banking data 3. 5+ years of data management, data analytics, and data governance experience in financial services 4.
Experience in data analysis and profiling using SQL is a must 5.
Knowledge in coding, Python is a plus.
Experience working with BI reporting tools like Tableau, Power BI is preferred

Collected minimum qualification

1.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> Bachelor’s Degree required and any other relevant academic course a plus.<o:p></o:p>2.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> Strong domain knowledge of investment banking data<o:p></o:p>3.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> 5+ years of data management, data analytics, and data governance experience in financial services<o:p></o:p>4.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> Experience in data analysis and profiling using SQL is a must<o:p></o:p>5.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-size-adjust: none; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-variant-emoji: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: "Times New Roman";"> Knowledge in coding, Python is a plus. Experience working with BI reporting tools like Tableau, Power BI is preferred

Collected experience requirement

5+ years