Data Analyst at Aftershoot

New Delhi, delhi, India -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Tableau, Power BI, Google Data Studio, Product Analytics, Data Visualization, Business Acumen, Communication, CTEs, Window Functions, BigQuery, Looker, Omni

Industry

Software Development

Description

At Aftershoot, we’re building a global community of photographers who spend less time behind their screens and more time behind the lens. Every feature we create, every update we ship, is designed to make post-processing easier, faster, and smarter for photographers around the world. From culling to editing to retouching. Our AI tools do all the heavy lifting, so photographers can focus on what they do best: capturing moments, telling stories, and creating magic. We’re a fast-growing, passionate team backed over 100K+ active users globally. Double-digit ARR in less than 4 years, amazing investors and team who truly believe in our mission. Our mission is clear: Become the default companion for every photographer in the world. If you care deeply about building meaningful products, working with curious and driven teammates, and being part of a team that genuinely loves what they do, we’d love to meet you. Let’s create the future of AI in photography, together. 🚀YOUR MISSION As a Product Analyst, you’ll be pivotal in driving data-informed decision-making across product and business functions. You’ll dig into product usage, revenue trends, and customer behaviour analytics—turning data into powerful insights that guide product roadmap and optimise business outcomes. 🎯What You Will Be Doing * Lead product analytics efforts: monitor feature use, revenue performance, and customer journeys to uncover actionable insights. * Develop and maintain dashboards and reports using SQL, Tableau, Power BI, and Google Data Studio. * Align analytics output with strategic objectives in partnership with Product, Engineering, and Marketing teams. * Translate business questions into analytical problems—and data results back into business impact. * Uphold data accuracy and governance standards across analytics pipelines. * Continuously refine analytics workflows for scalability and clarity. 💪What We’re Looking For * 3+ years of hands-on experience in data or product analytics. * SQL (advanced): Efficient joins, CTEs, window functions, optimizing queries for large datasets. * Data Warehouses: Familiarity with BigQuery or similar tools. * Data Visualisation: Creating clear dashboards in Python, Tableau, Power BI, Looker, Omni or similar tools. * Strong grasp of product metrics, revenue analytics, and customer behaviour insights. * Excellent business acumen and the ability to translate data into a compelling narrative * Clear communication skills across both technical and non-technical teams. * A proactive, curious approach with a strong bias for action. YOU WILL WORK WITH * Captain: Aditya [https://www.linkedin.com/in/aditya-bendapudi-64147a101/] * Team Members: Tejas [https://www.linkedin.com/in/tejas-agrawal-1605301a5/], Khalid [https://www.linkedin.com/in/khalidbinbashir/], Hinal [https://www.linkedin.com/in/hinal-srivastava/] and the rest of the Aftershoot team. WHAT HAPPENS AFTER YOU APPLY? 1️⃣ Phone Screen – If your profile looks like a fit, our People team will reach out for an intro call. 2️⃣ Team Interview – Chat with one of your future teammates to dive deeper into your experience. 3️⃣ Task Round – Show us how you think and solve a real-world problem. 4️⃣ Bar-Raiser Interview – Meet our leadership team for a final evaluation. 5️⃣ Offer! – If it goes well, we’ll extend a formal offer and welcome you on board.

Responsibilities

The Product Analyst will drive data-informed decisions across product and business functions by analyzing product usage, revenue trends, and customer behavior to generate actionable insights. This involves leading product analytics efforts, developing dashboards using tools like SQL and Tableau, and translating analytical findings into business impact in partnership with cross-functional teams.