Manik Jindal
Data Analyst 1 @Grip Invest
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WORK HISTORY
Data Analyst 1 @Grip Invest
Built and automated SQL-based reports and dashboards in Metabase to track KPIs like growth rate, retention, repeat investments, and product adoption—forming the core analytics foundation of the organization. Engineered a production-grade data governance pipeline using Airbyte (CDC), dbt, and ClickHouse; warehoused governed data from MySQL, PostgreSQL, and MongoDB into PII-secured layers. Achieved 99.99% uptime, ingestion latency < 120 sec, and transformation orchestration < 180 sec. Designed comprehensive user journey funnels (Signup, KYC, Order) to identify friction points and optimize conversions - boosting KYC completion by 20%, Signup by 15%, and Order conversion by 40%. Delivered analytics reports and dashboards for partners such as TataNeu, Mobikwik, ET Money, & PaisaBazaar—enabling collaboration transparency and performance tracking. Implemented Python-based data validation to ensure consistency between governed and production layers - improving reliability and data accuracy for reporting. Built automation scripts (Metabase → Google Sheets) using Apps Script to power dynamic operational dashboards - reducing manual effort by 70%+ across teams.
EDUCATION
Dr. B R Ambedkar National Institute of Technology, Jalandhar ( PUNJAB)
Bachelor of Technology - BTech
Yschool
Preparation for IIT-JEE
ABOUT MANIK JINDAL
I’m a Data Profesional with strong foundation in Data Engineering, focused on building reliable pipelines, creating accurate business analytics, and improving data quality across fast-growing teams.I’ve worked extensively in a startup environment where I owned end-to-end analytics — from defining user journeys and building dashboards to engineering governed data layers, automating reporting flows, and fixing broken tracking systems. My work has directly improved funnel conversions, reduced data chaos, and enabled better decision-making across teams.What I enjoy most is solving messy data problems, structuring processes, and turning raw data into something meaningful, trusted, and fast.Let\'s connect to talk more about the Data;)m••••••••@gmail.com
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