We are looking for an Analytics Engineer contractor to join our Data team and support Rewind’s upcoming plans to be the only service your business needs to protect its valuable data!

About Rewind

Rewind is a service that protects the critical data that powers businesses of all sizes. Our focus is on backing up data that lives in the cloud - in apps like Jira, GitHub, Confluence and Shopify. We are backed by Insight Partners, Inovia, Bessemer and Atlassian Ventures and are proud to be recognized as one of Canada's 50 fastest growing technology companies (2023 Deloitte Fast 50). We invite you to read our startup story to learn where we came from and where we’re going.

We care about honesty, we believe in learning from our mistakes, and we support each other as we grow.

Read about our mission, story and values here.
To find out more about our perks, click here.
Some of our Blogs might help you get a better understanding of what we do here. You can find them all here.

As an Analytics Engineer contractor, you will take a hands-on role in shaping and implementing data and analytics initiatives within Rewind. Focused on analytics engineering, your primary objective will be to develop scalable and maintainable infrastructure, leveraging state-of-the-art tools and best practices. Your contributions will be key in enhancing our products, optimizing operational efficiency, and fostering a data-driven culture to improve decision-making.

Your responsibilities will include:

• Contributing to our data infrastructure to ensure we build performant, high-quality and cost-effective data sets that scale and are optimized for business impact.
• Applying software engineering best practices to the data pipeline development process (version control, tests, documentation, code reviews, monitoring, etc.
• Translating data-driven findings into recommendations to support decision-making across the organization.
• Building self-service tools (e.g., reports, dashboards, integrations) to democratize data and improve decision making across all levels of the organization
• Partnering closely with Sales and Marketing, Finance, and Product to support GTM initiatives, data quality in CRMs, and ensure upstream data sources are delivered with the right frequency, grain, and information to support business objectives

As an Analytics Engineer, your technical proficiency and strategic mindset will be pivotal in advancing our data-driven capabilities, ensuring that our organization continues to thrive through innovation and excellence in leveraging data insights.

You should have 5+ years of experience in data engineering, analytics engineering and 3+ experience of years with dbt.

Additional qualifications include:

• Expert SQL and proficiency in programming languages such as Python or R.
• Expertise in the Modern Data Stack, tools similar to BigQuery/Snowlake, Git, Segment/Rudderstack, FiveTran/Airbyte/Stitch, and Hightouch/Census.
• Experience in data analytics within a SaaS environment, particularly with a specialty in Marketing/Sales or Finance.
• Experience with data visualization tools, Metabase preferred.
• Strong understanding of data governance, data quality, and data modeling best practices.
• Strong business acumen to understand data from many functional areas and anticipate stakeholder needs

We strongly encourage candidates of all different backgrounds and identities to apply. Each new hire is an opportunity for us to bring in a different perspective, and we are always eager to further diversify our company. Rewind is committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career.