Tableau Developer

Posted Yesterday
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Mumbai, Maharashtra, IND
In-Office
Mid level
Artificial Intelligence • Analytics • Business Intelligence • Consulting
The Role
Designs, develops, and maintains Tableau dashboards and reports; connects multiple data sources; creates calculated fields, parameters, filters, and LOD expressions; optimizes performance and data accuracy; troubleshoots reporting issues; and collaborates with stakeholders and technical teams to deliver governed, data-driven insights.
Summary Generated by Built In
About the Role

We are looking for a skilled Tableau Developer with strong analytical and visualization expertise to join our growing team. The ideal candidate will be responsible for designing interactive dashboards, transforming complex datasets into meaningful insights, and supporting data-driven decision-making across business functions.

Key Responsibilities
  • Design, develop, and maintain Tableau dashboards and reports
  • Understand business requirements and convert them into impactful visualizations
  • Connect and work with multiple data sources including SQL databases, Excel, cloud platforms, etc.
  • Optimize dashboard performance and ensure data accuracy
  • Develop calculated fields, parameters, filters, and LOD expressions
  • Collaborate with stakeholders, analysts, and technical teams to deliver reporting solutions
  • Ensure adherence to data governance and reporting standards
  • Troubleshoot reporting and data-related issues efficiently



RequirementsRequired Skills & Qualifications
  • 3+ years of hands-on experience in Tableau development
  • Strong proficiency in Tableau Desktop and Tableau Server
  • Good knowledge of SQL and database concepts
  • Experience in data visualization best practices and dashboard storytelling
  • Understanding of data warehousing concepts
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
Good to Have
  • Exposure to Power BI, Python, or ETL tools
  • Experience working in analytics/consulting environments
  • Knowledge of cloud data platforms is an added advantage
Educational Qualification
  • Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or related field


BenefitsBenefits & Perks
  • Opportunity to work on real-time analytics and enterprise-level projects
  • Collaborative and growth-focused work culture
  • Exposure to modern BI, analytics, and data visualization technologies
  • Learning and upskilling opportunities with experienced industry professionals
  • Fast-paced environment with career growth opportunities
  • Employee engagement activities and team celebrations
  • Performance-driven recognition and rewards
  • Supportive leadership and mentorship
  • Opportunity to work with cross-functional teams and global clients
  • Healthy work-life balance and inclusive team environment


Skills Required

  • 3+ years of hands-on Tableau development experience
  • Strong proficiency in Tableau Desktop and Tableau Server
  • Good knowledge of SQL and database concepts
  • Experience with data visualization best practices and dashboard storytelling
  • Understanding of data warehousing concepts
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field
  • Exposure to Power BI, Python, or ETL tools
  • Experience working in analytics or consulting environments
  • Knowledge of cloud data platforms
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The Company
222 Employees
Year Founded: 2017

What We Do

ScatterPie Analytics is a data analytics and business intelligence company that modernizes enterprise decision-making. It brings together open-source technologies and enterprise tools to create powerful, cost-effective, and flexible intelligence solutions. The company delivers end-to-end analytics, including data engineering, cloud data platforms, business intelligence, AI, decision intelligence, and industry-focused analytics solutions, transforming raw data into actionable insights for evidence-based decisions across modern organizations.

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