Data Analyst


Job Overview



A Data Analyst in the Business Transformation team should feel comfortable working as a Business Analyst in general and as an expert Data Analyst. In a typical project the Data Analyst is expected to understand project goals and research the data sources to be used. This is typically a mix of modern and legacy systems. The Data Analyst would work on data discovery, wrangling, and preparation. From there either visualizations or reports would be created and validated with the project sponsor. All the implementation is done in an agile manner with short iterations and fast feed-back.


  • Data AnalysisData conceptsData modelingData visualizationBusiness Intelligence
  • Business AnalysisInterviews & Meetings FacilitationScenarios, Use Case & Requirements Documentation Process AnalysisOperating Model AnalysisInsurance or Financial business domain knowledge (or ability to learn quickly)
  • Solution DesignSystem-thinkerProcess-modelerUnderstanding of modern data management principles and the architectures that support them
  • Solution DevelopmentCoding in several programming languagesPrepare reports and dashboardsMust have implemented a substantial data application on her or his own


  • 5- 8 years of Data Analyst experience
  • Consulting experience
  • Insurance industry experience (preferred)
  • Education

  • Bachelor’s Degree required
  • Master level preferred from a recognized university
  • Fields such as Statistics, Computer Sciences, Engineering, Economics, Finance, Business Analytics or Accounting

  • Strategic and tactical problem-solving skills
  • Top-down thinker, quick learner, and driven by a strong sense of curiosity
  • Eager to experiment and learn from data, facts, and experiences
  • Can make progress in ambiguous situations, and actively seek to collaborate
  • Take initiative, work independently when needed, and eager to learn new skills and approaches
  • Not afraid to ask questions, with the end goal and outcomes in mind, and be self-critical
  • Ability to fail fast and learn from those mistakes
  • Effective exploring large and/or complex data sources, with the ability to visualize the data journey towards delivering the solution
  • An ability to communicate effectively, respectfully, and with confidence with executives and staff in business and technology using the appropriate language
  • Meeting Facilitation, Requirements Elicitation, Documentation & Validation
  • Process Mapping
  • Technology and Programming

  • Very good at SQL in different variations
  • Data Visualization Tools, e.g. Tableau, MicroStrategy, Power BI, Excel
  • Programming languages, e.g. Python with statistical libraries or equivalent
  • Familiarity with cloud-based services; e.g. AWS, Snowflake
  • Agile frameworks and tools, e.g. Scrum, Kanban, Hybrid
  • The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The incumbent must have the abilities or aptitudes to perform each essential function proficiently with or without reasonable accommodation. Our organization has a dynamic work environment where positions evolve and change. Therefore, the Company reserves the right to modify, delete, or add job duties, responsibilities and skills that are stated in this job description at any time.


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