Data Visualization Engineer

Job Title: Data Visualization Engineer
Contract Type: Permanent
Location: Pune
Contact Name: Eve Wang
Job Published: June 22, 2022 18:32

Job Description

We’ve been pioneering a world of possibilities to bring surfaces to life for well over 200 years. As experts in making coatings, there’s a good chance you’re only ever a few meters away from one of our products. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and have set our sights on becoming the global industry leader. It’s what you’d expect from the most sustainable paints company, which has been inventing the future for more than two centuries.

Job Purpose

The Data Visualization Engineer reports into the Data engineering & Visualization - Manager

 and is part of a broader global and multicultural analytical team operating from various locations. His/her role is to develop, maintain and improve integrated data visualization solutions for the Global Business Services (GBS) organization, thereby providing visibility on its operational performance. To do so, the Data Visualization Engineer will collaborate with Performance Analysts and other Subject Matter Experts.

Specifically, the GBS integrated visualization solutions are essential to inform on the performance and pain points of the of the organization. Leveraging various tools, The Data Visualization Engineer will connect, transform and visualize data to turn them into insights, paving the way to improved decision making resulting in performance improvements.  The developed solution will also lead to improved transparency within the organization.

Key Accountabilities

Conceptualize, develop and deliver data visualization solutions based on GPO mandated SMEs and reporting analysts’ requirements, leveraging the existing system architecture and available tools:

  • Determine best possible E2E data visualization solution
  • Fetch and embed data from SAP HANA BW, SQL data and load flat files
  • Integrate efficiently and prepare large and complex dataset
  • Perform data mapping and transformation [joint, exclusion, enrichment, pivoting, etc.]
  • Use script and coding to create visually compelling self-service easy to use dashboards
  • Automate data flow in collaboration with IM architects and IM consultants

Improve and maintain existing data visualization solutions in collaboration with IM:

  • Lead visualization workshop
  • Suggest technical improvements for existing data visualization solutions
  • Determine improvement turnaround time and maintain change request log
  • Perform required changes and regular data load activities


Skillset and professional experience:

Extensive number literacy, system knowledge and information management acumen

  • Proven MS PowerBI or Spotfire dashboard development capabilities
  • Proven ability to code in Python and HTML languages, JAVA scripting a plus
  • Advanced Excel and PowerPoint skills with VBA knowledge
  • Experience with data transformation tools and technology such as:
  • SAP Analysis for Office & SAP Web Intelligence
  • Cloud platform - Microsoft Azure SQL, SAP Analytics Cloud
  • SQL Management studio - Build queries, views, transformations
  • SAP HANA studio : Explore & query data
  • Alteryx : Build data solution by developing workflow in Alteryx & automate by scheduling it via Alteryx server
  • SSAS : Develop OLAP Data Cube with advance DAX calculations
  • Power BI - Server platform - Automate using Data flow, configure Enterprise gateway, Build apps
  • Exposure to ServiceNow and Celonis process mining tool appreciated
  • Understanding of modern concepts of Data Lakes, Building cubes, Data solutions on top of Data lake
  • Design & develop scalable Hybrid solution - On-premise + Cloud based technologies


Academic and professional background:

  • Bachelor or Master’s Degree preferably in Information Management
  • At least 5-year work experience in developer roles in a global or multinational environment


  • Accepting Direction
  • Accepting Responsibility
  • Acquiring Information

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

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