Senior Data Analyst – 10419
Malmö 30 dagar kvar Obestämd ort
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Besök hemsida veritaz.se
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Publicerad 2024-09-20

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description:

We are looking for a Senior Data Analyst to join our dynamic team.

What You Will Work On:

  • Collaborate with cross-functional teams (Tech Leads, Data Engineers, Business Intelligence developers, and Product Owners) to develop new data features within the Agile Release Trains framework.
  • Conduct solution and impact analysis to define appropriate implementation and validation approaches.
  • Perform detailed data analysis, ensuring data and process flows are accurately defined for functional and technical requirements.
  • Work closely with data engineers, source systems, and data consumers to ensure smooth data integration and delivery.
  • Coordinate and support validation and testing activities, ensuring high-quality data delivery and mitigating risks where necessary.
  • Act as a subject matter expert on data availability, data quality, and business requirements related to the enterprise data warehouse.

What You Bring:

  • Strong understanding of banking processes with the ability to effectively communicate with business stakeholders to gather and discuss data requirements.
  • Proven experience in data analysis and data requirement management, with an ability to map and analyze complex datasets.
  • Excellent proficiency in SQL for analyzing, validating, and signing off on data quality and completeness.
  • Ability to translate business requirements into technical specifications and work closely with developers and peers to ensure proper implementation.
  • Structured, analytical mindset with the ability to conceptualize and resolve complex technical issues.
  • Familiarity with Data Warehouses is advantageous.
  • Experience working within Agile frameworks, preferably SAFe.
  • Strong problem-solving and time-management skills with a keen attention to detail.
  • Excellent English communication skills, both written and verbal.


Mer info

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