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Data Modeling & Data Visualization


Hyperion Materials & Technologies


Location

Barcelona | Spain


Job description

Summary

The incumbent is responsible for implementing data analytics strategies that provide insights, identify opportunities, support decision making and improve business operations.

Essential Duties and Responsibilities

  1. Create an intake and prioritization process for Data Analytics requests, provide recommendations on prioritization based on business value and risk
  2. Transform raw data into relevant insights via interactive and simple-to-understand dashboards and reports
  3. Perform a wide range of tasks such as reporting, building dashboards, building data models, analyzing datasets, and administration of Power BI tools
  4. Work with key stakeholders to address high-priority questions and deliverables:
    1. Ask questions and quickly understand complex problems.
    2. Identify key components that should drive decision making. Define the problem to be solved.
    3. Determine potential analytical tools and solutions. Explain tradeoffs to stakeholders.
    4. Select methods, including homegrown and 3rd party software - build tools and analyses
  5. Create & maintain training content (Power BI, Power Query, Subscriptions) to enable a super-user network for data & analytics and to promote self-service analytics
  6. Lead modernization of the data analytical landscape, drive automation, process improvements and better roll out of BI tools across the organization
  7. Provide thought leadership to enable the analytical processes within Hyperion MT, including but not limited to defining the controls necessary to drive data integrity which is a key success factor for business metrics & insights
  8. Lead and support data-based modeling/projects to support better understanding and better decision making within the business functions. Develop descriptive, predictive and prescriptive tools for Hyperion MT business strategies.
  9. Data modeling experience
    1. hands on experience with physical and relational data modeling
    2. organizing data correctly and optimizing into an information system to help achieve critical objectives
    3. knowledge of platform technologies
    4. experience with data warehouses & big data platforms
    5. knowledge of data modeling principles, including conceptual and logical data models
    6. ability to utilize BI tools to represent insights

Qualifications

Education and/or Work Experience

Technical Skills/Physical Requirements


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