Harish Kumar Bhima

Directed strategic initiatives to enhance enterprise analytics solutions while ensuring customer success through proactive service delivery and continuous monitoring.

• Implemented proactive monitoring to detect and resolve potential issues, ensuring uninterrupted Tableau Server & Cloud operations

and reinforcing customer trust.

• Collaborated with clients to understand business requirements, tailoring monitoring solutions that aligned with customer success objectives.

• Conducting quarterly reviews to assess system performance, provide insights, and recommend improvements based on analytical trends.

• Mentored team members by sharing best practices and fostering a culture of continuous improvement, thereby strengthening cross-functional stakeholder engagement.

• Ensured clients maximized the value of their Tableau investments, driving data-driven decision-making and operational excellence in customer outcomes.

• Conduct in-depth analysis through Deployment Reviews and Annual Technical Health Reviews.

• Conduct Architectural Reviews.

Partnered with business stakeholders and executives to design a vision and technical architecture that addressed key business and

customer success challenges.

• Developed strategic organization strategies and data models to enhance implementation outcomes and deliver measurable customer

value.

• Identified optimal solutions for business requirements and provided tailored recommendations, balancing technical depth with customer objectives.

• Acted as a final escalation point for complex production issues, mentoring technical teams and ensuring a seamless customer support experience.

• Led customer engagements by offering strategic guidance, upgrade assistance, and thorough root cause analysis to align technology with business priorities.

• Drove internal projects that enhanced service delivery, segmentation, and overall customer satisfaction, reinforcing cross-functional collaboration.

• Regularly engaged in customer status calls, quarterly business reviews, and Annual Technical Health Reviews to align service delivery with customer success plans.

• Collaborated closely with Account Executives, Customer Success Managers, and Support Engineers to integrate customer success strategies into overall account planning.

• Mentored and onboarded new hires, fostering growth and maintaining high technical and customer engagement standards.

Created, built, and refined reporting packages to empower Technical Account Managers with critical operational data that informed customer support strategies.

• Developed and maintained standardized deployment review reports and dashboards to monitor overall Tableau Server health

and

key performance indicators aligned with customer success.

• Utilized data collection and analysis to enable Technical Account Managers in addressing a wide range of

problem-solving scenarios, from strategic planning to real-time resolution.

• Collected, analyzed, and reported on Tableau Server usage, health, and performance metrics to drive insights that supported customer success initiatives.

• Collaborated with Technical Account Management, Customer Solutions Programs, and Operations teams to ensure data validity and align technical strategy with customer priorities.

• Experience in Data Visualization which includes experience in Design, Development and Implementation of Analytical and Reporting Tools by using Tableau.
• Experience in Business Requirement gathering for the enhancement Excellent analytical, problem-solving skills using Tableau.
• Creating dashboards in line with Advanced Analysis of Tableau Desktop, and organizing Dashboard views and objects.
• Developed and reviewed SQL queries with use of joins clauses in Tableau Desktop to validate static and dynamic data for data validation.
• Experience in Business Model Development with Dimensional Hierarchies and Data Blending.
• Experience in Groups, Filters, Sets, Parameters, Table calculations and Actions in
• Developing interactive dashboards.
• Having outstanding knowledge on using Level of Details (LODs) expressions to play with the data.
• Experience in creating Dual/Blended Axis and Reference/Trend Lines and Forecasting.
• Good interaction with clients, understanding business applications, business data flow and
• Data relations.

• Converted raw datasets into meaningful formats by performing extensive pre-processing activities such as normalization and transformation.
• Optimized SQL queries for faster processing times, increasing overall productivity within the team.
• Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
• Assisted management in making informed decisions by presenting clear and concise reports detailing analytical findings.