Business Data Analyst Job at Citi (Pune)

Job Description

This role is within enterprise data office and product solution team; focused on ensuring accurate, timely, and fit for purpose data for business, risk management and regulatory reporting requirements. Engage with Markets, Risk, Finance, Tech, Client org, and Data Engineering Teams to gather requirements, understand application processing, identify gaps and design systematic solution for business needs. Average day is highly collaborative, focusing on reaching out to application teams and users to understand Markets products processing in Regulatory Reporting data Flow. Document product data flows along with transformation /mapping/enrichments/logic within enterprise systems.

Job Responsibility

Understand Derivatives data flows for Equities, FX, IRS, Fixed Income, Commodities and SFTs within CITI
Data analysis for derivatives products and SFTs across systems for target state adoption and resolution of data gaps/issues
Lead assessment of end-to-end data flows for all data elements used in Regulatory Reports
Document current and target states data mapping and produce gap assessment
Coordinate with the business for identifying critical data elements, defining standards and quality expectations, and prioritize remediation of data issues
Identify appropriate strategic source for critical data elements
Design and Implement data governance controls including data quality rules and data reconciliation
Design systematic solution for elimination of manual processes/adjustments and remediation of tactical solutions
Prepare detailed requirement specifications containing calculations, data transformations and aggregation logic
Perform functional testing and data validations

Requirements

4-7 years of combined experience in banking and financial services industry, information technology and/or data controls and governance
Preferably Engineering Graduate with Post Graduation in Finance
Understanding of Derivative products (i.e., Equities, FX, IRS, Commodities etc.) and SFTs
Strong Data analysis skills using Excel, SQL, Python, Pyspark etc.
Experience with data management processes and tools and applications, including process mapping and lineage toolsets
Ability to identify and solve problems throughout the product development process
Analytical thinking – ability to break down complex data structures and processes to identify issues and develop logical models that meet business needs
Strong knowledge of structured/unstructured databases, data modeling, data management, rapid / iterative development methodologies and data governance tools
Good Understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment
Demonstrated stakeholder management skills
Excellent communication skills – needs to be able to communicate with technical and non-technical stakeholders to gather requirement and develop clear documentation
Excellent presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions
Excellent problem-solving and critical thinking skills to recognize and comprehend complex data flow and designs
Self-motivated and able to dynamically determine priorities
Data visualization skills – can help in creating visual representation of data models and provide input to UX / UI team to help make it easier to communicate complex model relationships with stakeholders

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Business Data Analyst

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