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I am a data-driven marketing analytics professional who loves turning complex data into clear, actionable insights. I build dashboards and predictive models that improve engagement, retention, and revenue, and I enjoy translating business questions into analytics roadmaps. I thrive in cross-functional, agile teams and am passionate about blending technical rigor with strategic marketing to deliver measurable impact. In my work, I partner with stakeholders to conduct market research, design segmentation strategies, and optimize campaigns. I excel at turning quantitative findings into clear recommendations, ensuring that dashboards, reports, and processes are scalable and user-friendly for business leaders.…I am a data-driven marketing analytics professional who loves turning complex data into clear, actionable insights. I build dashboards and predictive models that improve engagement, retention, and revenue, and I enjoy translating business questions into analytics roadmaps. I thrive in cross-functional, agile teams and am passionate about blending technical rigor with strategic marketing to deliver measurable impact. In my work, I partner with stakeholders to conduct market research, design segmentation strategies, and optimize campaigns. I excel at turning quantitative findings into clear recommendations, ensuring that dashboards, reports, and processes are scalable and user-friendly for business leaders.

Isha Ghatule

Marketing Analyst, Data Analyst, Data Scientist, +2

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I am a data-driven marketing analytics professional who loves turning complex data into clear, actionable insights. I build dashboards and predictive models that improve engagement, retention, and revenue, and I enjoy translating business questions into analytics roadmaps. I thrive in cross-functional, agile teams and am passionate about blending technical rigor with strategic marketing to deliver measurable impact. In my work, I partner with stakeholders to conduct market research, design segmentation strategies, and optimize campaigns. I excel at turning quantitative findings into clear recommendations, ensuring that dashboards, reports, and processes are scalable and user-friendly for business leaders.…I am a data-driven marketing analytics professional who loves turning complex data into clear, actionable insights. I build dashboards and predictive models that improve engagement, retention, and revenue, and I enjoy translating business questions into analytics roadmaps. I thrive in cross-functional, agile teams and am passionate about blending technical rigor with strategic marketing to deliver measurable impact. In my work, I partner with stakeholders to conduct market research, design segmentation strategies, and optimize campaigns. I excel at turning quantitative findings into clear recommendations, ensuring that dashboards, reports, and processes are scalable and user-friendly for business leaders.

Available to hire

I am a data-driven marketing analytics professional who loves turning complex data into clear, actionable insights. I build dashboards and predictive models that improve engagement, retention, and revenue, and I enjoy translating business questions into analytics roadmaps. I thrive in cross-functional, agile teams and am passionate about blending technical rigor with strategic marketing to deliver measurable impact.

In my work, I partner with stakeholders to conduct market research, design segmentation strategies, and optimize campaigns. I excel at turning quantitative findings into clear recommendations, ensuring that dashboards, reports, and processes are scalable and user-friendly for business leaders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Marketing Analyst at Org Four Inc.

August 1, 2025 - November 5, 2025

Supported the full project lifecycle by gathering requirements, performing systems analysis, preparing documentation, coordinating testing, and assisting production deployment to ensure smooth delivery of business solutions. Partnered with stakeholders to conduct market research, competitive studies, and market analysis, contributing to go-to-market strategies and identifying opportunities for product and process improvements. Assisted in SEO and social media optimization efforts. Participated in feature testing, analyzing user feedback and adoption metrics to provide recommendations for improving functionality and customer experience. Created and maintained reports and dashboards using MS Excel, SQL, and data visualization tools, ensuring data accuracy, integrity, and security across business units. Worked in an Agile environment using Jira for sprint planning, backlog tracking, and issue resolution in collaboration with cross-functional teams. Supported configuration changes, DevOps

Marketing Analyst at Flipkart

July 1, 2023 - July 1, 2023

Conducted market and user research projects using surveys, Snowflake SQL data pulls, and customer journey mapping, applying data mining techniques to uncover behavior patterns that guided two new category expansions and improved campaign targeting accuracy. Designed customer segmentation models (K-Means, clustering in Python) as part of a broader predictive analytics framework, classifying shoppers by purchase frequency and price sensitivity, enabling personalized promotions that drove a 15% uplift in repeat purchases. Built dashboards for persona-driven insights and go-to-market strategy recommendations using Tableau (Tableau, Sigma) for stakeholders. UX research insights to recommend improvements to reduce drop-offs by 8%. Collaborated with product teams on feature prioritization and road mapping, using UX research to identify opportunities and improve user flows. Optimized data-driven insights by building self-serve BI dashboards to track CAC, CTR, ROAS, and other metrics.

Marketing Analyst – Internship at Flipkart

February 1, 2021 - February 1, 2021

Designed business intelligence dashboards in Tableau, integrating Google Analytics with KPIs (CTR, CAC, ROI) and digital marketing attribution metrics, which improved visibility into campaign performance and reduced reporting turnaround by 25%. Performed customer segmentation using K-Means and behavioral analysis in Python, applying predictive analytics techniques to identify four actionable cohorts that supported targeted campaigns and improved engagement. Evaluated UX and engagement data to build customer personas, combining qualitative research with statistical modeling to inform product positioning and enhance the customer journey strategy. Automated recurring KPI reports with Python and Excel, streamlining data pipelines and improving consistency of insights shared with stakeholders, while cutting manual work by 30%.