ecobee EB is hiring a
Remote Senior Product Analyst
\nThis role is open to being 100% remote within Canada while our home office is located in Toronto, Ontario. You may be required to travel to Toronto once per quarter for team and/or company events.\n\nWho You Will Be Joining:\n\nWe are looking for a Sr. Product Analyst to join our Data Science Team in building and expanding our product analytics capabilities at ecobee. This newly established team of product-focused data scientists will derive both customer and financial insights to improve decision making for our products lines, while building automated reporting for our key performance metrics. \n\nWe have recently started building this function so there is an opportunity for you to make an impact. The team owns the building and maintaining product analytics infrastructure and partners closely with product stakeholders to understand their growing analytical needs. It defines and builds product success metrics, provides key insights of performance drivers and user behavior, and designs and runs experiments to understand user behaviour. \n\nThe ideal candidate brings analytical rigor, experience in identifying gaps and improving product analytics capabilities. You have an opportunity to influence leadership with data and clearly articulate and execute top priorities. \n\nHow you’ll make an impact: \n\n\nWork closely with product stakeholders to find answers to strategic business questions, as well as surface insights and identify new questions that are critical to understand the business and user behavior \n\nCreate consistency in data reporting and measurement across the board, in collaboration with both product stakeholders and our BI team. In addition, the product analytics team will identify automation opportunities and build tools/processes to streamline recurring reporting and analytical need \n\nCombine a deep understand of business with technical expertise, act as an SME to provide insights to critical product/business questions and tell the story of what happen and why it happens \n\nSupport product teams in making informed decisions by providing data-driven recommendations\n\nCultivate knowledge, establish best practices, and disseminate them across various teams\n\nOwn the building and maintaining of the infrastructure to conduct experimentations for product functions. You will partner with product stakeholders on the experiment design, implementation, post-launch analysis and recommendations for the future step \n\n\n\n\nWhat You’ll Bring to the Table: \n\n\nYou bring a well-balanced mix of experience including deep analytics, data engineering, stakeholder management and product strategy \n\nExperience implementing/developing product analytics frameworks, techniques and reporting that deliver user insights, guide product decisions, and measure product performance \n\nExperience with data visualization tools (Looker, Tableau, SiSense), user experience tools (Google Analytics, Amplitude, Segment, MixPanel) and with data extraction, statistical analysis, modeling and general familiarity with data languages and statistical tools (SQL, Python, R) \n\nExperience working in experiment-driven product development. You are familiar with the different types of experimentation frameworks that impact product decisions. (Including but not limited to A/B testing, principles of causal inference, and statistical techniques like model-based evaluations of user behaviour) \n\nStrong storytelling skills in presenting complex findings in an easily digestible way in order to influence business change based on derived insights \n\nExperience in working with stakeholders with various degrees of technical expertise\n\nYou will work with teams across multiple time zones \n\n\n\n\nJust so you know: The hired candidate will be required to complete a background check. \n\n What happens after you apply: \n\nApplication review. It will happen. By an actual person in Talent Acquisition. We get upwards of 100+ applications for some roles, it can take a few days, but every applicant can expect a note regarding their application status. \nInterview Process: 3 rounds with a take-home challenge\n\n\nRound 1: A 45-minute phone call with a member of Talent Acquisition\n\nA Take-Home Challenge: To be completed over the course of a week and submitted for review.\n\nRound 2: A 45-minute virtual interview with the Technical Lead of the Product Analyst team.\n\nRound 3: A 1-hour virtual interview with members of our Product Management team, and our VP of Data Science.\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Senior and Senior jobs that are similar:\n\n
$60,000 — $95,000/year\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
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