Manager, Analytics Engineering

2 days ago


Canada Wealthsimple Full time

Join to apply for the Manager, Analytics Engineering role at Wealthsimple . Get AI-powered advice on this job and more exclusive features. Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 3+ million users who trust us with more than $100 billion in assets. Our teams ship often and make an impact with groundbreaking ideas. We’re looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work. About the role Promotions and incentive campaigns are key drivers of Wealthsimple’s growth—fuelling new user acquisition and encouraging clients to consolidate more assets with us. These initiatives move quickly and rely on tight collaboration across Growth, Product, Engineering, Operations, and Data. The Data team plays a critical role in building the backend systems that power promotions, as well as providing the analytics needed to deploy marketing spend effectively. In this role, you’ll work closely with both technical and business leaders on some of our highest-priority initiatives. In this role Build and scale multi‑billion dollar promotions in collaboration with the marketing team Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts Lead a best‑in‑class team of data scientists and analytics developers and grow each individual Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization Set organizational standards and influence our data science and engineering culture Apply software engineering best practices like version control and continuous integration to the analytics code base; ensure data models are well tested, documented and maintained Translate business requirements into data models and analysis that will help stakeholders answer key business questions and inform strategic decisions Continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend Take ownership and ship it Empower the team by leveraging their diverse educational backgrounds Work where you are (while our Canadian offices are located in Toronto, we are a remote‑first workforce and you can join from anywhere in Canada) Requirements Proven experience leading data teams and a proven dedication to helping your teams and others grow Strong business acumen and product sense and ability to help drive strategic vision Excellent Python & SQL skills Deep expertise in data warehouse architecture and advanced data modeling principles A proven track record in designing and implementing robust data pipelines and complex data transformations Is able to articulate their stance in a manner that effectively collaborates with different stakeholders Thrives in a multi‑faceted environment that involves ongoing alignment and coordination Adjusts quickly to changing priorities and effectively manages complexity and change Can coach people in their current roles to improve performance and prepare them for future roles In addition to leading, a willingness to roll up their sleeves to tackle challenging technical problems Has exceptional communication skills and is able to communicate effectively to both technical and non‑technical teams Plans, organizes, schedules, and budgets in an efficient, productive manner Is eager to teach and learn from your team. We value making each other successful Is a lifelong learner. You’re constantly seeking and welcoming feedback to continue improving yourself and your craft Why Wealthsimple? Competitive salary with top‑tier health benefits and life insurance Retirement savings matching plan using Wealthsimple for Business 20 vacation days per year and unlimited sick and mental health days Up to $1,500 per year towards wellness and professional development budgets respectively 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year A wide variety of peer and company‑led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS) Company‑wide wellness days off scheduled throughout the year Technology & Innovation at Wealthsimple We believe the future belongs to those who innovate boldly. At Wealthsimple, every team member is expected to lean into new technologies, including AI, and tooling to rethink how we work, solve problems faster, and create even greater value. We’re looking for people who are not just comfortable with change but energized by it. Our commitment is to build a company that evolves at the pace of the world around us, and we want you to help lead that future. DEI Statement At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr



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