Data Visualization Specialist - Onsite

Aranca · Mumbai

Source and collection record

Last observed by our collector: 9 October 2026 at 12:44 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: IRA#480

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Job Profile RESPONSIBILITIES Analytics delivery and solution ownership Lead the end-to-end development of analytics use cases, from problem definition to delivery and adoption Translate business needs into clear analytical requirements and technical specifications Drive solution design, ensuring scalability, reliability and usability Data preparation and engineering Identify, source and integrate relevant data from multiple systems Prepare, clean and structure data using tools such as SQL, Python, or Dataiku Collaborate with data engineering and modeling teams to ensure robust data pipelines and data quality Data visualization and dashboarding Design and build advanced Tableau dashboards tailored to business needs Apply best practices in data visualization, usability and storytelling Continuously improve existing dashboards based on user feedback and evolving requirements Stakeholder engagement Act as a trusted partner to business stakeholders, managing expectations and driving alignment Communicate insights clearly through presentations and regular updates Support decision making by translating data into actionable insights YOUR PROFILE Experience 7+ years of experience in data analytics, business intelligence, or a related field Proven track record of delivering analytics solutions in complex environments Experience in financial services or wealth management is a strong advantage Technical skills Advanced expertise in Tableau, including dashboard design, performance optimization, and data storytelling Strong understanding of data visualization best practices and user-centric design Solid working knowledge of SQL for data querying, transformation, and validation Working knowledge of Python (or similar) for data preparation and complementary analysis Business and soft skills Strong analytical thinking and problem-solving abilities Ability to translate business questions into structured analytical approaches Excellent communication skills, with the ability to interact with both technical and non-technical audiences Proactive mindset with a high level of ownership and accountability Experience working with cross functional teams in an agile or iterative environment Education Bachelor or Master’s degree in Data Science, Business Analytics, Engineering, Finance, Economics, or a related field

Collected experience requirement

7+ years