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Data Analyst

Job Description

 
Alchemy are currently partnering with a global technology firm who are looking to recruit a Data Analyst to be based onsite in Stockholm, Sweden.

Purpose:
  • Turns data1 into actionable insights for business value creation and decision making by synthesizing and interpreting complex data using advanced analytics, data modelling and visualization techniques and tools.
  • Provides advice to decision makers in outlining both causes and  remedies to business problems.
  • Drive business data and analytics requirements.
  • Understands the underlying business problem to define the  required data and appropriate analysis.
  • Provides process and data expertise in business analysis  assignments and validates data availability and quality.
  • Supports in building, qualifying, and managing the funnel of data  and analytics opportunities towards stakeholders in the digital  product engagements.
  • Provides advise into the structuring of data in data products to meet business requirements, self-service analytics capabilities, and reading of data for AI/ML/automation use-cases, i.e. making data
  • views fit for purpose.
  • Perform data analytics assignments.
  • Collects, processes, evaluates, and aggregates data from various
  • sources to base analysis upon.
  • Works with data architects and engineers to build datasets used for analysis, and identifies based on expertise in the data domain needs for new data objects to enhance analytics outcomes.
  • Performs data modeling and analysis using the applicable statistical model, when required together with data scientists and
  • engineers.
  • Prototyping and data storyboarding.
  • Validation of analysis results. 
  • Pressure-test/validates data model logic and algorithms from a business perspective.
  • Visualization and presentation of data analysis.
  • Interprets, visualizes, and presents results of the data analysis  using appropriate techniques to enable actionable insights for business.
Qualifications:
  • Bachelors in Engineering or equivalent.
  • Experience in Data & Analytics work - data analysis techniques, converting business requirements to IT / technical language.
  • Knowledge, experience and skills in the required data analysis techniques and data domains.
  • 10+ years of experience in the same field.