---
title: "Yoggesh Alkari - Lead Business Analyst in Mumbai | Tal"
description: "Meet Yoggesh Alkari, Analytics & BI Leader | Enterprise Data Strategy, BI Architecture & GenAI | Building Scalable Analytics Solutions | Amazon | Ex-Emeritus based in Mumbai. AI stack includes claude code, deepseek, and gemini."
image: "https://tal.club/meet/yoggesh-alkari/share-image"
---

# Yoggesh Alkari on Tal

## Headline

Analytics & BI Leader \| Enterprise Data Strategy, BI Architecture & GenAI \| Building Scalable Analytics Solutions \| Amazon \| Ex\-Emeritus

## About

I believe the real value of analytics isn't in how many dashboards you build\. Its in how many better decisions a business can make because of them\. That's the principle behind my 14\+ years in Analytics, Business Intelligence and Data Strategy across SaaS, EdTech, HealthTech and Insurance\. My work sits at the intersection of business strategy, data architecture, analytics and AI\. I enjoy solving a particular kind of problem: turning fragmented data, manual processes and complex business questions into scalable systems that deliver clarity, efficiency and measurable impact\. What I bring to the table: 🔹 Analytics & Business Strategy \- Translating business objectives into actionable insights, meaningful KPIs and performance measurement frameworks that help leaders make informed decisions\. 🔹 Data & BI Architecture \- Building scalable data warehouses, analytics frameworks and reporting ecosystems that improve data accessibility, reliability and business visibility\. 🔹 AI & Intelligent Automation \- Applying Generative AI, LLM modules and AI agents to automate analysis, surface insights and reduce repetitive manual work\. 🔹 Business Impact \- Improving operational efficiency, optimizing conversion funnels, strengthening performance monitoring and enabling faster, data\-informed decisions\. 🔹 Leadership & Collaboration \- Building and mentoring analytics teams, partnering with Product, Engineering, Marketing, and Finance and translating complex analytical findings into clear business narratives\. A few highlights from my journey: • Deployed production AI agents to automate business review analysis and insight generation\. • Designed enterprise BI solutions, scalable data architectures and real\-time KPI monitoring systems\. • Improved reporting automation, operational workflows and marketing performance through data\-driven solutions\. • Led analytics and BI initiatives across multiple business functions, aligning technical execution with business priorities\. My approach is simple: understand the business problem first, build the right analytical solution and measure whether it actually makes a difference\. I'm particularly interested in the evolving intersection of Analytics, AI and Business Strategy \- where better data infrastructure and intelligent automation can fundamentally change how organizations operate\. Always happy to connect with people working on meaningful problems in analytics, data, AI and business transformation\.

## Location

Mumbai

## AI stack

claude code

deepseek

gemini

kiro

Amazon Q Developer

ChatGPT

## Work experience

Lead Business Analyst at Amazon, Sep 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India, • Designed and implemented an Asana\-based analytics intake and prioritization framework, achieving 100% adoption, improving productivity by 15–20%, increasing sprint delivery by approximately 25%, and reducing turnaround time by approximately 50%\. • Established data contracts with upstream teams, reducing recurring data\-related operational effort by 60–70%; introduced self\-service analytics and knowledge\-sharing mechanisms to reduce repetitive stakeholder requests\. • Lead analytics delivery across 6–8 business, product, and program teams, supporting 70–80 stakeholders through 25\+ dashboards, 5 WBRs, 3 Quarterly Business Reviews \(QBRs\), and 1 Monthly Business Review \(MBR\)\. • Deployed 5–6 production AI agents for Weekly Business Review \(WBR\) question answering and automated insight generation, achieving 60–70% adoption and saving 12–15 hours of manual analysis per week\. • Monitor business performance across 20–25 launches per quarter, providing analytical insights and performance visibility to cross\-functional stakeholders\. • Manage 4 direct reports within an 11\-member global analytics team, including L5 and L4 analysts; support hiring, career development, and team performance\. Core Skills: Business Analytics \| Generative AI \| AI Agents \| SQL \| Business Intelligence \| Analytics Strategy \| Process Automation \| Stakeholder Management \| KPI Frameworks \| Team Leadership

Director of Analytics at Silvermine Group, Feb 2024 \- Jul 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India, • Architected enterprise\-wide data strategy and BI solutions, establishing data governance, security standards, regulatory compliance practices, and standardized dashboard design\. • Integrated ChatGPT into internal analytics pipelines to automate metric summaries and trend analysis, reducing manual reporting effort by 30% and enabling natural\-language access to insights\. • Developed real\-time performance dashboards integrating Power BI and Google Analytics 4 \(GA4\) with product releases, reducing release\-failure identification time from six hours to under 30 minutes\. • Engineered a scalable analytics database layer using SQL stored procedures and optimized views, reducing query execution time by 50% across four departments\. • Redesigned web analytics architecture using GA4 and Google Tag Manager \(GTM\), doubling tracking precision and improving funnel visibility threefold through enhanced event tracking, custom dimensions, and user properties\. • Developed a modular analytics framework supporting four departments, reducing dashboard delivery turnaround time by 45%\. • Improved reporting automation by 40% and migrated legacy reports to Power BI, improving dashboard loading speed by 25% and stakeholder adoption by 40%\. • Designed and optimized data warehouses, data marts, and real\-time KPI monitoring systems; implemented Power BI row\-level security and data lineage to support secure, GDPR\-compliant analytics\. • Mentored six analysts and introduced peer code reviews and Objectives and Key Results \(OKRs\), improving delivery velocity by 30%\. Core Skills: Analytics Strategy \| Enterprise BI \| Power BI \| SQL \| Data Warehousing \| Data Governance \| Generative AI \| GA4 \| Google Tag Manager \| AWS DMS \| Data Security \| Team Leadership

Head of Business Intelligence at FITTR, Sep 2022 \- Dec 2023 · 1 yr 4 mos, Pune District, Maharashtra, India, • Introduced cashback offers, targeted in\-app notifications, and personalized campaigns, achieving 1\.5x growth in new\-user conversions and 1\.25x growth in existing\-user conversions\. • Integrated ChatGPT into customer\-support workflows and introduced location\-specific chat groups, reducing average response time from 18 minutes to two minutes\. • Established a centralized data repository and master tables, reducing recurring ad hoc analytical requests by approximately 30–40%\. • Led the design, development, and deployment of 25\+ business\-critical Tableau dashboards to monitor business performance and support strategic decision\-making\. • Developed real\-time performance dashboards covering 20\+ KPIs to evaluate coach performance and strengthen operational monitoring\. • Provided CXO\-level and business\-head analytical support, translating business performance trends into actionable insights\. • Migrated Excel and Google Sheets dashboards to Tableau, improving reporting accessibility, visualization, and stakeholder engagement\. • Managed a team of four BI analysts responsible for dashboard development, data visualization, BI operations, and cross\-functional reporting\. Core Skills: Business Intelligence \| Tableau \| Customer Analytics \| Conversion Optimization \| Generative AI \| KPI Dashboards \| Data Visualization \| Business Performance Management \| Team Leadership

Visiting Faculty at Chetana's R\. K\. Institute of Management & Research, Sep 2022 \- Dec 2023 · 1 yr 4 mos, Mumbai, Maharashtra, India, Subject: Big Data and Business Intelligence

Senior Manager Business Intelligence and Analytics at Emeritus, Jul 2020 \- Aug 2022 · 2 yrs 2 mos, Mumbai, Maharashtra, India, Emeritus \- EdTech Unicorn • Scaled the BI team from 2 to 6 analysts and improved delivery velocity by 50% through structured workflows, training, mentoring, and delivery management\. • Established BI processes, data management practices, and standardized reporting across eight business functions\. • Built a centralized data warehouse and integrated multiple data sources with Google BigQuery to support scalable, near\-real\-time reporting and analytics\. • Improved project success rates by 25% through data\-driven decision\-making and enhanced business performance visibility\. • Migrated legacy Excel and Google Sheets dashboards to Power BI and Tableau, improving reporting accessibility, standardization, and interactivity\. • Automated reporting and data integration across Finance, Outreach, University Partnerships, and Learning amp; Research, supporting bookings, lead management, sales funnels, enrolments, and student analytics\. • Led stakeholder engagement, requirements gathering, reporting prioritization, and analytics delivery across business functions\. • Leveraged Power BI, Tableau, SQL, R, BigQuery, and Redash to develop business dashboards, monitor KPIs, and deliver actionable insights\. Core Skills: Business Intelligence \| Power BI \| Tableau \| SQL \| Google BigQuery \| Data Warehousing \| Analytics Operations \| Reporting Automation \| Stakeholder Management \| Team Leadership

Manager Analytics at Emeritus, May 2017 \- Jun 2020 · 3 yrs 2 mos, Mumbai, Maharashtra, India, • Reduced customer acquisition cost by 15% through geographic performance analysis and optimization of spending in non\-converting locations\. • Improved repeat purchases and cross\-sell conversions by up to 3x through data\-driven personalization and machine learning techniques\. • Optimized marketing funnel conversion by 6% through historical performance analysis and media\-plan optimization\. • Automated daily Excel reporting using R, saving approximately six person\-hours per day while improving reporting accuracy and efficiency\. • Analyzed campaign performance across 300\+ cohorts to support budget optimization, customer segmentation, campaign measurement, and marketing strategy\. • Built and automated dashboards using Power BI, Tableau, SQL, R, and Amazon S3 to monitor marketing KPIs, campaign performance, and conversion trends\. • Developed a centralized data warehouse and integrated multiple data sources with Google BigQuery to support scalable reporting and analysis\. • Managed digital marketing analytics across Google Analytics, Google Ads, Facebook Business Manager, LinkedIn Campaign Manager, Quora Ads, Twitter, Bing Ads, Salesforce, Pardot, Outbrain, and Reddit\. • Built and managed the marketing analytics team, supporting analyst development, training, and delivery management\. • Collaborated with global teams across the US, LATAM, Singapore, and Dubai to deliver scheduled and ad hoc analytical reports\. Core Skills: Marketing Analytics \| Digital Marketing \| Customer Acquisition \| Conversion Optimization \| Cohort Analysis \| Marketing Attribution \| Power BI \| Tableau \| SQL \| R \| Google Analytics \| Machine Learning \| Marketing Automation

## Education

Senior Management Program Business Analytics, Business Analytics, Indian Institute of Management, Calcutta

Mastering Digital Marketing SEM, SEO and Social Media, Digital Marketing, London Business School

[View the original profile](https://tal.club/meet/yoggesh-alkari)

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