Senior Analyst, Data Integrity & Operations
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
You will support analysis within the Data Integrity team including Root Cause Analysis (RCA) and broader data integrity analysis. You will help identify data issues analyse how they occur across systems and processes and contribute to recommendations that improve data quality and reduce recurring issues across the organisation.
Support the articulation of clear problem statements by helping distinguish symptoms from underlying data issues.
Assist in translating technical findings into clear summaries that explain what happened and contribute to recommended improvements.
Analyse data flows to identify where data breaks degrades or diverges across the end-to-end value chain.
Work collaboratively with data owners SMEs technology teams and product partners to gather information clarify details and support investigations.
Apply structured RCA and analysis techniques including data lineage review reconciliation checks rule-based validation and transformation logic analysis.
Support end to end RCA activities by gathering evidence documenting findings tracing issues across systems and maintaining investigation records.
Contribute to assessments of current state data issues versus target state data management and MDM models.
Assist in defining tracking and validating corrective and preventive actions to ensure fixes are implemented and effective over time.
Qualifications :
1. 3 years experience in data analysis data quality or data management roles within complex environments.
2. Experience supporting root cause analysis or issue investigations involving data across multiple systems or processes.
3. Strong analytical and problemsolving skills with experience querying and reconciling datasets using SQL.
4. Handson experience analysing data flows including basic lineage tracing sourcetotarget comparisons or transformation logic review.
5. Clear communication skills with the ability to summarise technical findings and engage effectively with stakeholders.
6. Understanding of data governance ownership and control concepts with awareness of how gaps can lead to data quality issues.
7. Experience working with core datasets such as master or reference data including basic data quality checks.
8. Exposure to data integration interfaces or APIs and an understanding of how data moves between systems.
9. Experience working in agile delivery environments or structured work tracking processes.
10. Experience using scripting or analytical languages (e.g. Python) to support data investigation or automation is desirable.
Additional Information :
Whats in it for you to join MUFG Investor Services
Take a look at our careers site and youll find everything youd expect from a career with the fastest-growing business at one of the worlds largest financial groups. Now take another look. Because its how we defy expectations that really defines us. Youll feel that difference in all kinds of vibrant CULTURE. Connected team. Love of innovation laser client focus and next-level LEARNING & and we really walk the talk when it comes to HYBRID WORKING.
So why settle for the ordinary Apply now for a Brilliantly Different career.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Databases
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Were more than just fund administration. Our offerings include a scope of solutions not historically provided by asset servicing companies. From fund financing to subscription lines of credit, securities lending, foreign exchange (FX) services, consulting services and beyond, we help ... View more
