Senior Analytics Engineer

Summary

Join PartnerStack's Data Operations team as an Analytics Engineer and help shape the future of data at a fast-growing startup. You will define and evolve analytics engineering standards, build data infrastructure, and lead data projects from ingestion to reporting. The ideal candidate possesses 4+ years of programming experience in Python and SQL, a strong software engineering background, and experience leading cross-functional stakeholders. You'll be working with a cutting-edge tech stack including PostgreSQL, Google Cloud Platform, and more. PartnerStack offers a flexible, digital-first work environment with competitive benefits, including health insurance, flexible hours, generous vacation time, and an employee stock option plan.

Requirements

• 4+ years of demonstrated programming experience in python and SQL
• You will bring a formal and rigorous software engineering practice to the efforts of analysts
• Familiar with the tools in our tech stack (see below)
• Bring an analytical and business-outcome mindset to the efforts of data engineering
• Experience leading cross-functional stakeholders to execute high-impact data focused projects
• An ability to thrive in a fast-paced and ambiguous environment - organizing proactively, focusing on key priorities and adapting when required
• Communicate complex ideas in a simple and easy-to-understand way for any audience
• A clear bias for action and an ability to act autonomously without being told what to do - taking ownership and accountability for your work

Responsibilities

• Define and evolve PartnerStack’s analytics engineering standards, shaping how data is modelled, tested, and consumed across the business
• Build tools and infrastructure to support the democratization of data across PartnerStack
• Lead data projects from ingestion to reporting, showing your ability to manage scope and to work with ambiguity
• Adopt software engineering best practices, such as version control and design patterns and teach others to adopt these best practices
• Support enablement efforts such as documentation and training business users on data best practices across the organization
• Help shape the data model at PartnerStack, which will advance our broader analytics strategy

Benefits

• A digital-first environment, so you can do your best work anywhere in Canada
• A MacBook shipped to you and a budget for peripherals of your choice
• Flexible working hours (in coordination with your team)
• Flexibility to work abroad for up to 8 weeks at a time
• Regular social events, even while working remotely
• Annual peripheral refresh
• Competitive salary and opportunities for promotion
• High-quality health insurance, active from your first day
• HSA and Wellness Accounts
• Generous vacation and time off plan
• Employee Stock Option Plan for everyone (ESOP)
• RRSP with an employer matching component