Polar Analytics is a Full-Stack Business Intelligence Solution for Consumer Brands. A powerful, yet simple solution for business users to get the insights they need to succeed and make the right decisions.
Our mission is to empower indie DTC brands worldwide to grow faster and more profitably!
As a product-led organisation, product is a central function of Polar Analytics. Currently managed by the founders, this is an opportunity to come in and establish the foundations.
Explain the why, and define the what - let your team define the how
Lead with data
Speed over perfection
Own the outcome
Have fun
More here: https://a16z.com/2012/06/15/good-product-managerbad-product-manager/
Empower thousands of entrepreneurs to grow their brand, with a product they use daily
Managing our data products and ensuring that they meet the needs of our customers. You will work closely with our Data Analyst/Scientist/Engineer
Have strong ownership on a growing data product that is already used by 1,000+ brands
Join us at one of the most exciting moments of our history: we are building the core features of the app with $9M raised and a growth rate of 30% month-over-month
Your experience working on data products or as a Data Analyst/Scientist/Engineer will be crucial in understanding customer requirements and translating them into product features that drive customer satisfaction and retention.
Own the technical/data roadmap and vision, leading polar to become the #1 Business Intelligence solution on the market
Examples of projects you will be owning:
Define and own the integrations roadmap: adding depth to current integrations to help customers answer questions like ‘What are my products that convert the most’?
Scope projects related to our metrics API like adding the ability to create cumulative metrics to answer questions like ‘What is my total sales growth YTD? What is the 12 month repurchase rate of my top products?’
Define and own AI related features: root cause analysis, using openAI to answer customer questions or generate recommendations
Scope and investigate features such as new data integrations, insight models, and service improvements
Act as project manager on large cross-functional initiatives: define, prioritise, scope features and own the deliverability of these features end to end
Act as a hands on analytics engineer: lead the development of data infrastructure projects, help the team address data quality issues and fix bugs, build quick data models and add new dimensions & metrics to help support the team with ad-hoc questions.
Identify and engage with third party data services
We like to try new things out but most of our data stack is built around SQL & Python. Here are the things we use - and love:
You are driven by impact, thrive in a past-faced environment and are not afraid to deal with ambiguity and wear multiple hats.
You have a degree in Computer Science, Data Science, or a related field.
You have previous experience as a Data/Technical Product Manager
You have previous experience as a Data Analyst/Scientist/Engineer, or in a similar role in a data company is highly valued.
You have strong analytical and problem-solving skills, with the ability to interpret data and make data-driven decisions.
You are an excellent communicator and are able to deal with cross-functional stakeholders
Experience working in an Agile development environment.
You are very familiar with data technologies and tools, such as SQL, Python, or BI tools is a plus
You have a passion for creating innovative solutions that solve complex business problems.
🌎Remote-first organisation with a culture built around impact rather than hours
🏖 5 weeks of vacation
💰 Competitive salary & equity (our compensation philosophy targets 60th - 80th percentile in the top 3 European tech markets)
💻 Latest MacBook Pro or equivalent
🩺 Complimentary private health insurance (we use Alan)
😍Every quarter we organize a company-wide offsite to discuss where we're going and strengthen the social bonds
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