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Day 34
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Data Analyst Banking
Reads like a Data Governance role: data quality and governance.
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Employment terms need review — employment source
Employment type Permanent contract & B2B
Read the full posting
What you’ll work on
Full postingEnsure accurate data integration from referential and external sources into downstream systems
Implement and perform first-level database controls
Support end-users and project teams with data requests
Identify data issues, assess their impact, and propose solutions
Work with service providers and attend governance meetings on critical data topics
From the employer’s posting
Ensure the accurate integration of data from various referential and external sources into downstream systems
Implement and perform first-level database controls
Provide high-quality support to end-users, responding to requests from data users and project teams autonomously
Identify data issues, analyze their potential impacts and risks, and propose effective solutions to stakeholders
Collaborate with major service providers (e.g., Blackrock, State Street) and participate in governance meetings to track and resolve critical data topics
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 1, 202634 days ago
- Recorded sightings
- 28
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 21, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Margo-Group is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
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About the role
We file this job under Data Governance, by the work the posting describes.
Data governance staff keep a company's data accurate, documented and used within the rules. They agree what key fields mean, set up quality checks, track who owns each dataset and look after master data.
Postings ask for SQL, a governance tool such as Collibra or Informatica, knowledge of privacy and data rules, and a lot of work with other teams.
A data engineer builds the systems that move data; governance staff set and check the standards that data has to meet.
Job description
The Data & Analytics Management team oversees the collection, administration, and control of critical data supporting various business lines within a global leading financial institution. As part of this department, the Analytics Integrity team ensures the quality and support of position, transaction, and computed data across major systems. The team operates globally, working closely with the Data Referential and Governance divisions to provide seamless data integrity for liquid, derivative, and alternative investment assets. The successful candidate will be an experienced manager driving process improvements with a collaborative management style and the ability to create a positive team environment.
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Ensure the accurate integration of data from various referential and external sources into downstream systems, guaranteeing high levels of data quality and consistency.
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Implement and perform first-level database controls, proactively initiating or amending processes to optimize data accuracy and operational efficiency.
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Develop a deep understanding of complex transformations and computations applied to generate all computed data within the firm's systems.
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Provide high-quality support to end-users, responding to requests from data users and project teams autonomously.
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Work closely with Data Referential, IT, and Data Governance teams to resolve transversal data issues and ensure end-to-end data consistency.
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Identify data issues, analyze their potential impacts and risks, and propose effective solutions to stakeholders.
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Collaborate with major service providers (e.g., Blackrock, State Street) and participate in governance meetings to track and resolve critical data topics.
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Contribute subject matter expertise in operational processes and data modeling to support various IT and Business project teams.
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Ensure any deviation from standard operating models is formally agreed upon internally and well documented.
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At least 5 years of experience in Finance (ideally asset management), including significant experience in operational roles (Data, IT, front, middle or back office).
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Thorough understanding of operational processes and the usage of major data users (portfolio management, middle office, risk, quant, compliance, financial controllers).
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Hands-on application experience with Aladdin or Adjuto.
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Autonomous approach to analyzing and solving complex requests from end-users (working beyond Standard Operating Procedures).
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Ability to understand data in-flows and out-flows, technical architecture, and business transformations applied to data.
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Excellent written and verbal communication in English; ability to liaise with multiple internal and external parties.
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Analytical mindset with the ability to perform control checks, investigate discrepancies, and escalate appropriately.
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Proactive attitude when identifying operational risks and taking necessary initiatives for risk mitigation.
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Very rigorous approach and strong organizational and interpersonal competencies.
Employment type
Permanent contract & B2B
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Warsaw
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.