You are a strategic thinker passionate about driving solutions in Data Management Controllers . You have found the right team.
As a Data Management Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. You will be responsible for monitoring risk data processing from upstream sources and ensuring its distribution to Consumers (Finance, Risk, Capital, Treasury) is of proper quality. This involves adhering to data attendance, validating data quality through attribute validations, conducting period-over-period anomaly reviews, making appropriate adjustments, and communicating real-time data availability. You will work in conjunction with Asset Class Controllers (ACC) to provide authoritative datasets to consumers. Feedback loops across teams and consumers will allow you to constantly refine data, increasing the quality and authoritativeness of base data.
Job Responsibilities
- Monitor data for potential quality issues on risk aggregator. Performing day over day volatility check with reduced threshold on TP data, investigate the movement to determine business rationale behind the movements. Aim to solve for the Data quality issues identified through the process should be remediated before ME close. Through interaction with data consumers, specific aggregation levels and thresholds can be determined and used to run day over day analysis. As the data runs through risk aggregators, Highlight areas of concern ahead of the impact to consumer. Identified anomalies may be communicated to consumer and/or chased upstream or source to triage booking issues, intended data flows. , etc.
- Draw lineage of validation rule to exceptions generated to adjustments performed to data quality governance tool, logged for the same.
- Attest accuracy of validation logic suggest potential for smartening the rule that helps remove false exceptions capture all genuine outliers for a given attribute. Leverage valid value list from Program office study data profiles sent by risk management system.
- Partner with Consumers Line of business to prioritize data quality issues; work in collaboration with chief data office, line of business platform technology teams to remediate issues.
- Understand consumer end use and dive into details to better understand evolution of data beyond center. Use identified deficiencies as an opportunity to potentially improve data in center, post-impact analysis
- Provide requirement to technology, share vision for new user experience, track test before delivery which is part of your change management role
Required qualifications, capabilities, and skills
- Excellent verbal and written communication skills
- Excellent organizational, problem-solving skills, negotiation and analytical skills
- Expertise Alteryx /Tableau
- Excellent desktop/spreadsheet skills. Ability to work well under pressure and balance multiple priorities
- Ability to build and maintain partnerships within the various product aligned businesses and across other corporate groups
- Ability to understand business drivers and requirements and influence others to deliver solutions
- Ability to quickly understand workings of a complex processing system and general ledger systems across the infrastructure and their interrelationships and dependencies
- Aptitude for learning and leveraging systems and data flows
- Basic understanding of the firm s products
- Ability to identify improvement to current processes and achieve efficiencies
Preferred qualifications, capabilities, and skills
- Post graduate/MBA with 1 year financial service Industry experience
- Basic experience with a financial consolidation and reporting system
- In-depth knowledge of industry standards and regulations
Role: Business Analyst
Industry Type: Financial Services
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Business Intelligence & Analytics
Education
UG: Any Graduate
PG: Any Postgraduate, MBA/PGDM in Marketing
