Product Scientist

About Sundial Sundial is a top VC-backed early-stage startup headquartered at San Francisco Bay Area, US with a second office in Bengaluru, India. Our founders are industry veterans Chandra Narayanan, previously Chief Data Scientist at Sequoia Capital, and Julie Zhuo, previously VP, Design and Research at Facebook, author of a bestselling management book. We have raised $23M to build the analytics platform for the AI era. We are a small team of top talent, high caliber Engineers, Data Scientists, Designers and PMs (currently 46 in India, 6 in US) and rapidly growing. We are on a mission to help builders make meaningful use of data to fulfill their vision. Sundial automatically diagnoses a product's data to explain the "what" and the "why" to enable faster and better decision making. Now Pull up a chair! We're excited to tell you more about our vision for Sundial! By now, you've probably visited our website and maybe our LinkedIn page and browsed around the profiles of our team members. If you haven't yet, please take a moment to do so. We'll wait 🙂 Okay, now you know at a high level that we are focused on data storytelling. The data space has over $100B in market opportunity ahead of it, and modern Business Intelligence tools are growing at over 15% year over year. Currently most data-centric organizations have a large team that builds dashboards and manually generates reports to communicate the product story broadly. But a large part of this process can be easily productized. We do this by leveraging decades of our founders’ experience in helping organizations understand their product metrics into easily accessible and actionable stories that are automatically generated. The core part of this effort is building Sundial’s library of analytical insights and packaging them together to form analysis templates. Responsibilities: As Sundial's Product Analyst, you will be working on: Working with individual clients to understand their needs in order to create a Sundial product solution that fits them. This includes: • Modeling client datasets (often in petatbytes) to help answer questions important to our clients along areas such as user growth, retention, various funnels, etc. • Using the Sundial analytics product to deliver insights on top of this datastack • Envisioning, designing, and creating collections of common analyses around topics like user growth, retention, signup funnels, user engagement, revenue. • Partnering with Engineers, PMs, and Designers to build scalable data products. Requirements: You should have- • 3-5 Years of Relevant Work Experience (Internships are included) • Ability to model Business Questions into Data Questions using Statistical Analytics techniques • Experience in analytics projects requiring understanding data in the context of the problem to be solved, transformations that help extract the information and then use it to generate insightful visualisations. • Fluency in SQL is a must • Excellent communication skills that means you can deftly tell stories with data Good to have- • Experience with working on big data, Spark, Golang • Experience working in data analytics for technology companies. • Experience with working on BI Tools, decision science projects and statistical insight models You will probably like working with us if: • You like the ownership, camaraderie and chaos of a start-up environment - Start-ups are not right for everyone. Things move quickly and change frequently. Start-ups haven't "made it" yet. We have to convince customers we are valuable enough to them. We must be scrappy and flexible. Everyone will wear lots of hats. But: if you have future aspirations of being an entrepreneur or leader, you'll find few better learning grounds. You'll learn by doing. You'll be given a ton of trust and responsibility. You'll see very transparently how we operate and make decisions. Your work will absolutely matter to the success of our company. • You value learning and have a growth mindset - Sundial is founded on the idea that slope is far more important than intercept. We are a learning environment, and all of us have something to teach and learn from each other. We invest heavily in learning sessions, sharing insights, and reflecting on our growth. • You're interested in understanding how companies grow, and how data plays a role - Unlocking the secrets of data is our bread and butter. How do successful companies grow? How do different types of businesses create value for users in an economically scalable way? If you find this area to be as fascinating as we do, that's awesome, because you're going to become an expert in this domain. :) • You love to solve data problems and weave stories that data can tell - Product Analysts unlock the secrets of data using complex algorithms. We believe that how they are presented are as important as the quality of secrets themselves. This poses novel and unique challenges to how we create these insights and present them to our clients. We’d love to hear from you—apply now!