Abhinav Watve

Strong analytical skills, a passion for data-driven decision-making and a solid foundation in data analysis, process optimization, and business intelligence. Proficient in utilizing data analysis and interpretation, dashboard development, and reporting to provide actionable insights and drive strategic decision-making, enhancing business performance. Adept at working in collaborative environments, translating business needs into clear analytical tasks, and presenting findings to support decision-making.

Committed to continuous learning and keen to contribute to organizations by leveraging data to solve business challenges and drive growth.

Senior Associate Reporting Analyst at IPGMediabrand (2025-05 – Present)

Delivered end-to-end reporting solutions and conducted data validation across ETL pipelines, ensuring accuracy and reliability of reporting datasets.

• Delivered end-to-end reporting solutions using Tableau, providing stakeholders with interactive dashboards to track marketing performance, campaign ROI, and audience engagement.
• Conducted data validation, reconciliation, and QA across ETL pipelines using Tableau Prep, ensuring accuracy, consistency, and reliability of reporting datasets.
• Developed automated reporting workflows, reducing manual effort and turnaround times for recurring campaign reports.
• Standardized reporting frameworks and implemented quality checks to enhance data governance and minimize discrepancies.
• Collaborated with cross-functional teams across media planning, campaign management, and engineering to align KPIs and optimize reporting outputs.
• Translated large-scale marketing and audience datasets into actionable insights, enabling data-driven decision-making for high-visibility campaigns.
• Improved data quality by introducing structured QA checks, reducing reporting errors and inconsistencies.
• Built dashboards that increased transparency into campaign effectiveness and engagement metrics for senior stakeholders.
• Optimized reporting processes to save analyst time and improve delivery speed on critical campaign performance insights.

Business Analytics Associate at Aurochs Solutions (2022-09 – 2025-01)

Collaborated with clients to analyze sales compensation requirements and designed optimized compensation strategies leveraging data-driven insights.

• Collaborated with clients to understand and analyze sales compensation requirements, ensuring alignment with broader business objectives and goals.
• Designed and optimized sales compensation strategies, leveraging data-driven insights to develop competitive, compliant, and impactful plans.
• Led the configuration and deployment of incentive automation tools, streamlining compensation structures, calculations, and management processes.
• Conducted thorough testing and validation of datasets and tools to ensure accurate compensation calculations and proactively addressed discrepancies.
• Delivered comprehensive training sessions to clients on software tools and data analytics dashboards, empowering teams to maximize plan efficiency and effectiveness.
• Developed detailed reports and real-time dashboards, providing key stakeholders with actionable insights to assess and optimize compensation plan performance using Alteryx, Excel, and other analytical tools.
• Remained proactive in adopting industry best practices for sales compensation, data processing, and automation to continually enhance solution offerings.
• Conducted root cause analysis of data discrepancies, ensuring timely issue resolution and ongoing monitoring of key business metrics.
• Analyzing data and generating insights to support central business decisions, including market trends, customer behavior, and performance metrics.
• Orchestrating the creation and implementation of reports and dashboards, providing valuable insights to stakeholders.

Business Analyst Intern at Incentius (2022-06 – 2022-09)

Partnered with clients to gather, upload, and process daily datasets for accurate real-time dashboard reporting.

• Partnered with clients to gather, upload, and process daily datasets, ensuring data integrity and completeness for accurate real-time dashboard reporting.
• Leveraged advanced data analysis tools and proprietary software to manipulate and summarize complex datasets efficiently.
• Identified process inefficiencies and provided strategic recommendations for streamlining workflows and enhancing operational efficiency.
• Delivered data-driven insights to project teams, enabling informed decision-making and the effective use of large datasets to drive project success.

M.Tech. in Data Science and Analytics – MIT World Peace University (2023)

B.E. in Information Technology – Finolex Academy Of Management and Technology (2019)

Diploma in Computer Engineering – Government Polytechnic (2016)