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MSD Senior SAP Analytics Cloud SAC Developer – FP & Platforms 
Czechia 
78554183

Yesterday

Job Description

Specialist - Data Visualization:

As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability.

Responsibilities:

  • Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact.

  • Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations.

  • Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices.

  • Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement.

  • Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities.

  • Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace

  • Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents.

Required Experience and skills:

  • 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling

  • Hands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot

  • Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python.

  • Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights.

  • Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics.

  • Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently.

  • Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles.

  • Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions.

Current Contingent Workers apply



Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design


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