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Job Description

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 Tableaus 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


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