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Senior Analytics Translator

  • Translation, Localization, Interpretation Jobs
  • IT, Software development, System Engineering Jobs
  • Sales, Business Development, Business Consulting
  • Banking, Finance, Insurance, Accounting and Trade jobs
  • Management (incl. project, product management & human resources)

Description

  • Identify and prioritize business problems in close collaboration with our stakeholders that analytics is suited to solve and enable stakeholders to do their jobs effectively and reach their targets.
  • Define and present product roadmaps to our stakeholders with a clear link to the business value of our products, highlighting dependencies and identifying and managing the risks.
  • Drive the creation of data-driven solutions by breaking down different use cases into requirements for our engineering teams, always ensuring proper compliance, risk mitigation, scalability, GDPR, governance and data quality.
  • Embed our current products such us data foundation, AI platform and MarTech into business operations – always aiming to ensure our products provide value.
  • Support the democratization of data by providing your expertise to the business areas, presenting existing tools and creating a strong data culture within Nordea.

Responsibilities

  • Experience as data engineer / analyst / scientist with expertise in SQL, ETL processes and data modelling combining data from multiple different sources.
  • Excellent communication skills, being able to communicate technical or complex matters with both business stakeholders and engineers in different levels of the organization.
  • Experience with requirements analysis, being able to translate stakeholder needs into high level requirements to be implemented in the subsequent development activities.
  • Experience working in Agile teams within SAFe framework.
  • Experience with big data and cloud computing platforms like Cloudera, AWS.
  • Experience with data lake/warehousing architectures like Snowflake.
  • Understanding of the data science modelling process.
  • Experience with the data governance process and managing data privacy within applications.

Hard Skills

  • Data Analytics
  • Quantitative/Qualitative Data Analysis
  • Data Management
  • Cross-functional collaboration
  • Product roadmapping
  • Risk assessments
  • Agile methodology
  • Business analysis

Soft Skills

  • Communication
  • Strategic thinker
  • Skilled Collaborator
  • Time management
  • Self-motivated