
Data Analyst
2 weeks ago
About Us Jar is India s leading Daily Saving app that helps people build strong saving habits one small step at a time Our goal is to make saving simple rewarding and truly life-changing Founded in 2021 by Misbah Ashraf and Nishchay AG Jar is a Bengaluru-based startup with one simple belief saving a little every day in 24K Digital Gold can truly transform your future Today 20 million Indians trust Jar as their saving partner With flexible saving options Daily Weekly Monthly and Instant Saving we have made it easy for everyone to save in their own way and withdraw anytime We are one of the leaders in UPI autopay transactions crossing more than 1 million transactions per day In 2023 we expanded our vision with Nek our jewelry brand crafted to bring together luxury and affordability it has since surpassed 100 crore in revenue We have a big dream of bringing Har Ghar Sona Small consistent savings are just the start We re here to walk alongside our users helping Indians secure their financial future every step of the way Backed by Tiger Global Management Arkam Ventures and WEH Ventures among others we have raised 50 million in funding In January 2025 we hit a huge milestone of becoming profitable Now we re charging ahead focused on sustainable growth and scaling impact And this is just the beginning What s the role As a Data Analyst-2 the role will involve leading deep-dive analysis on large and complex datasets to uncover insights that directly influence product development retention strategies and business growth Owning critical metrics reporting across subscriptions payments churn demand forecast and GMV while ensuring accuracy consistency and automation of data processes Alongside collaborating with product engineering and business teams for data-driven decision-making he will also mentor junior analysts and lead end-to-end analytical projects driving strategic technical and operational impact What will be your responsibilities Data Analysis Insights Perform deep dives on large structured and unstructured datasets to identify trends irregularities and actionable insights that drive product development and business decisions Provide actionable insights Develop and maintain dashboards and reports for key stakeholders Continuously monitor transactions to ensure accuracy completeness and integrity Ensure data accuracy and consistency across multiple sources Identify discrepancies gaps and failures in transactions and escalate for immediate resolution Analyze historical sales data and market trends to develop accurate demand forecasts Strategic Decision-Making Collaborate with product engineering and business teams to solve problems using data Lead analysis to improve key retention and renewal metrics such as churn rate renewal rate transaction success rate and GMV growth Support A B testing and experiments to optimize product and feature performance Analyze transaction failures payment declines and retry success rates to optimize the auto debit payment funnel Data Management Modeling Design and optimize data models that support real-time transaction monitoring churn prediction and cohort analysis for subscription-based customers Partner with data engineers to ensure data accuracy to improve data collection completeness and accessibility Build and optimize reports that track business performance over time Automate recurring reports and processes to improve efficiency Leadership Mentorship Guide and mentor junior analysts in best practices technical skills and storytelling through data Lead projects end-to-end ensuring clarity timeliness and high-quality outcomes Metrics Reporting Ownerships Own reporting of subscription transactions payment success rates churn trends and GMV impact ensuring timely insights to Business Product teams Automate and optimize reporting to provide timely insights to leadership Supporting other teams in setting up success metrics for particular products features What s required from you Technical Skills Strong proficiency in Python MongoDb for data analysis including Pandas NumPy Scikit-learn Matplotlib Seaborn Dask Stats models Re regular expressions for text cleaning textblob sentiment analysis text processing Automations Object oriented programming is a plus SQL Expertise in writing complex SQL postgres queries for data extraction transformation and reporting Process clean and wrangle large datasets using Python to ensure data quality and readiness for analysis Strong understanding of Excel Google Sheets for quick ad-hoc analysis Experience working with large structured unstructured datasets Able to develop KPIs related to retention acquisition A B experiments Visualization Tools Data Exploration and Visualization with tools like Amplitude Clevertap MS Excel Tableau Power BI etc Soft Skills High sense of ownership accountability and proactive problem-solving mindset Strong problem-solving critical thinking and business acumen Excellent communication skills with the ability to translate complex findings into clear insights for non-technical stakeholders Experience 3 years of experience in data analysis preferably in fintech or startups Proven experience leading high-impact projects independently A desire to work in a fast-paced environment What makes us different We re not just building a product we re shaping the future of savings in India We seek people who bring passion energy and fresh ideas to help us make that happen Experience matters but we are a potential first organisation We move fast learn from our mistakes and take bold risks to solve problems that haven t been attempted before If you re excited about working in an environment where people inspire and truly support each other you ve found the right fit What do we stand for The five values that we live by Passion At Jar we strive to create an environment where people love what they do are motivated and equipped to do their best work Equality We bring diverse skills ideas and experiences to the table supporting and challenging each other across teams to create something bigger than ourselves Growth When our people grow Jar grows We create opportunities for learning development and meaningful impact Accountability The core of our work ethic is taking ownership of our work showing initiative and having the freedom to ask questions Consistency We believe in doing the right things consistently Big change doesn t happen overnight it s built one step at a time Join us and let s build something amazing together What employee benefits do we have Glad you asked Among other things we have Medical Insurance for employees and their families ESOPs allocation Pluxee meal card Swish club card for exclusive employee discounts Advance salary plans Relocation assistance L D programmes Powered by JazzHR
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