Flipp is a pre-IPO company on a mission to help shoppers provide for their families by making life more affordable by leveraging technology. We work with the largest retailers and manufacturers in the world to help them transform their business and connect them with millions of shoppers through our next-generation digital shopping marketplace. Our award-winning Flipp app is used by millions of shoppers every week to make better purchase decisions and to save 20-40% off their bills.
With the recent increase in costs of living, Flipp's mission has never been more relevant. Flipp's Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content. These experiences help Shoppers decide what to buy and where to buy it. Flipp then connects those retailer and manufacturer experiences to millions of shoppers through Flipp's owned and operated channels.
As a Sr. Analytics Engineer you will leverage your strong analytical and technical knowledge and your ability to translate strategic business needs into robust and replicable data modeling solutions. You will have the opportunity support all Analytics teams by being a reliable source of all questions related to data access and data modeling for insights enablement. You'll work towards increasing the data team's knowledge base to ensure continuous growth and improvement. You will serve as a stakeholder to our Business Intelligence, Data Engineering and Software Engineering teams by providing best practices and technical leadership about data collection strategy, data modeling techniques, and beacon design.
You'll get the opportunity to:

• Develop accurate, well documented, flexible, performant and scalable data models that can be used as a single source of truth across the entire organization to generate insights and make informed decisions.
• Understand Enterprise Data Analytics Strategy and implement the business logic to create data models that reflect the business entities
• Create data models with the approach of single source of truth or multiple versions of truth depending on use case
• Developing and enhancing continuous integration and continuous delivery pipelines for the team
• Ensure the data models developed are high quality, scalable, flexible and have accurate data
• Collaborate with Embedded Analytics, Data Engineering and Software Development Teams to ensure data collection and beacon design processes are properly managed against Enterprise Data Strategy
• Ensure all collected data is modeled properly to avoid duplicates and protect the integrity of single source of truth approach
• Input into Analytics and Self-serve roadmap based on industry best practices and emerging trends
• Collaborate with data engineering and consult on data warehousing strategy and roadmap
• Identifying and reducing technical debt by contributing solutions and building business value arguments
• Have a deep understanding of purpose and structure of collected raw data (beacons), data models & libraries created
• Support all Analytics groups by providing assistance and knowledge about data sources, structures and quality as well as methodologies and best practices to extract & analyze data from different sources
• Exchange best practices & lessons learned with the data organization to increase the knowledge of other team members

What you'll need to bring to the team:

• Bachelor's degree with major in Mathematics, Statistics, Computer Science, Engineering, or equivalent
• 5+ years of relevant experience in a data engineering or analytics engineering role or similar
• 5+ years of experience building Data Models using transformations tools, ie. dbt
• 5+ years of programming experience using Python, SQL, Scala etc
• Strong analytical skills with the ability to collect, organize, analyze, disseminate and visualize significant amounts of information with attention to detail and accuracy
• Strong knowledge of and experience with BI tools (Tableau, Periscope, Domo, Amplitude, etc.), and databases (SQL, etc.)
• Proven skills in leading complex projects in ambiguity and building scalable solutions
• High growth expectations for yourself and your team, and a willingness to push yourself and your team to achieve them
• Experience with monitoring data quality, job execution times, job success/failure and remediation as well as query performance.
• A ton of passion about building top notch analytics engineering solutions for various use cases.

Here's how we work:
From working with top technologies to sending you to industry-leading conferences, we will make sure you have all that you need to expand your knowledge and grow your career. We have a trust-based culture where all team members are empowered to work in the way that's best for them to thrive.
Our culture is at the centre of all that we do, and it has been recognized through numerous accolades over the past three years including Best Workplaces in Canada, Deloitte 50 Best Managed, Best Workplaces in Canada for Women, Most Admired CEO and Top 10 Most Admired Corporate Cultures.
Here's how to apply:
If you're interested in working with us on the future of shopping, click the "Apply now" button to submit your application. While experience and skill sets are valuable, growth potential and attitudes are equally important. If you're prepared to grow dramatically with your team at a world-class learning organization, consider applying. We understand that the most creative solutions require diversity in thought and life experiences.
Flipp is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Accommodations are available on request for all aspects of the selection process.

Job Type: Full-time

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