Data Visualization Engineer

Job Opportunity - Data Visualization Engineer (Complete Work from office)

Role: Data Visualization Engineer:-

Experience: Minimum 5-8 years

Location: Thane West (100 percent work from office, no hybrid, no work from home)

Job Summary

Data Visualisation (DV) Engineer to create, optimise, and maintain dynamic, data-driven dashboards and reports using tools such as Tableau, Power BI, or other similar platforms. The ideal candidate will have a strong understanding of data visualisation best practices, experience in handling large datasets, and the ability to transform raw data into insightful, actionable visuals that support decision-making across the PA Delivery organisation. This role also involves working closely with cross-functional teams to ensure data accuracy, optimise query performance, and provide technical support for users.

Key Responsibilities

• Data Visualisation Development
  
  

– Design, develop, and maintain interactive dashboards, reports, and visualisations that provide actionable insights.

– Work with stakeholders to understand business requirements and translate them into effective visual representations.

– Implement data storytelling techniques to make complex data understandable and impactful for business users.

– Ensure that visualisations adhere to best practices for design, usability, and performance.

• Data Integration & Optimisation
  
  

– Connect, extract, and transform data from various sources (SQL databases, SSAS cubes, etc.) to integrate into DV tools like Tableau, Power BI, or similar platforms.

– Optimise the performance of visualisations by ensuring efficient data loading, applying best practices for data filtering and aggregation.

– Troubleshoot and resolve issues related to data performance, query times, or incorrect data representation in dashboards.

• Data Quality & Accuracy
  
  

– Collaborate with the data governance and quality teams to ensure data quality and integrity across all reports and dashboards.

– Implement validation checks and audits to ensure the accuracy, consistency, and reliability of the data used in visualisations.

– Identify and resolve data discrepancies and inconsistencies in collaboration with data teams.

• User Support & Collaboration
  
  

– Provide technical support and troubleshooting for end-users of DV tools, ensuring quick resolution of issues related to dashboards and reports.

– Train and assist business users on how to leverage visualisation tools and interpret the data presented.

– Collaborate closely with business stakeholders to ensure that all visualisations meet business needs and data governance policies.

• Continuous Improvement & Innovation
  
  

– Stay updated with the latest trends and best practices in data visualisation, tools, and technologies.

– Continuously seek opportunities to improve existing dashboards, reports, and processes to enhance user experience and data insights.

– Participate in workshops and provide training on visualisation tools to enhance data literacy within the PA delivery organisation.

Key Requirements

• Technical Expertise
  
  

– Proficiency in using data visualisation tools such as Tableau, Power BI or similar platforms.

– Strong knowledge of SQL and experience with databases (SQL Server, SSAS cubes, etc.) for querying and integrating data into DV tools.

– Experience with data modelling, data transformation (ETL), and working with large datasets from various sources.

– Familiarity with Tableau’s calculated fields and DAX (Power BI) for creating complex measures and KPIs.

• Data Visualisation & UX
  
  

– A strong understanding of data visualisation principles, including chart selection, colour theory, and dashboard layout best practices.

– Ability to create visually appealing, user-friendly dashboards that convey key insights effectively.

– Experience with performance optimization techniques, ensuring responsive and high-performance dashboards for end users.

Experience

– 2+ years of experience working with data visualisation tools such as Tableau or Power BI

– Experience with SQL and integrating large datasets into visualisation platforms.

Other Qualifications

– Strong analytical and problem-solving skills with a keen eye for detail.

– Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Ability to work both independently and as part of a collaborative, cross-functional team.

Education

UG: B.Tech/B.E. in Any Specialization