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Open nowFirst seen 4 hours ago

Data Steward

Arrow Global Group18 open roles

Where
Manchester, United Kingdom
Work mode
Hybrid
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Your applicationOpen nowData StewardArrow Global Group · Manchester, United Kingdom

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Arrow Global Group's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 4 hours ago

The posting

We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a ‘good steward’ of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset.

Key Responsibilities

  • Complete and maintain the group’s Data Catalog
  • Document data lineage, transformations and cleansing rules
  • Work with Data Engineering to ensure data is handled correctly
  • Help define effective Data Quality rules for the data they deal with
  • Work with the Business and Data Engineers to help bottom out issues with the data
  • Help drive root cause remediation of data issues at the platform/source
  • Above all, the Data Steward is expected to serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team

About you

  • Degree in Computer Science, Information Systems, Data Science, or a related field is preferable
  • Proven experience in a Data Governance or Data Management program
  • Familiarity with data privacy regulations (GDPR, CCPA)
  • A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
  • Strong experience within Real Estate, Credit, Banking, or NPL Asset Management
  • Resourceful, motivated self-starter with the ability to collaborate across business and technology
  • Strong analytical, verbal, and written communication skills
  • Ability to acquire a deep understanding of specific datasets and how they flow
  • Comfortable working in a fast-paced, evolving environment where processes are still being defined
  • Proficiency in SQL is a must. Proficiency in Python is a plus
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