Product Analyst for Data Products CoE at Danske Bank
1060 København, Region Hovedstaden, Denmark -
Full Time


Start Date

Immediate

Expiry Date

23 Apr, 25

Salary

0.0

Posted On

24 Jan, 25

Experience

5 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Data Products, Security, Etl, Product Design, Step, Metadata, Data Quality, It, Cleansing, Business Units, Business Requirements

Industry

Information Technology/IT

Description

We are seeking an experienced Data Product Analyst / Designer with a robust background in data analysis and business analysis to join our Data Products CoE team. In this role, you will be heavily involved in the design and development of data-driven products and standards that enhance our banking services.
As part of a team operating in a federated agile setup with a flat hierarchy and a customer-focused approach, your contributions will directly contribute to the bank’s strategic initiatives and enhance customer satisfaction through the adoption of data products.

APPLY

If you have further questions, you are welcome to contact Data Product Management Lead, Andrean Rashkov at rashk@danskebank.dk.
We are looking forward to receiving your application. We are processing applications on a continuous basis so please apply as soon as possible

Responsibilities

As a Data Product Analyst / Designer, you will participate in the analysis and design stages of shortlisted data products, ensuring they align with business needs and technical feasibility. You will consult on the design phases to ensure products are technically viable and meet business requirements. Your role involves performing and consulting on data modelling, cleansing, ETL, and data profiling to maintain high data quality standards.

  • Develop and maintain templates and step-by-step processes for best practices in data product design and implementation.
  • Ensure alignment of blueprints and delivery teams with required standards for Data Contracts, Security, Data Protection, Data Management, Data Quality, Metadata, and Provenance/Lineage in all stages of the product lifecycle.Collaborate closely with IT, business units, and management to align on optimal solutions that influence the bank’s customers.

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