Senior Analytics Engineer (Golf)

Lightspeed Golf is growing quickly and we are looking for a talented and passionate Senior Analytics Engineer to join our Services Data team and be the first fully dedicated resource on Golf Data. This is a great opportunity to be a part of an early team and help define the data landscape for a very fast growing product.

If you have worked on data pipelines, have great communication skills, are proficient at data modeling and have enabled teams to gather both predictive and historical insights, you might be a great fit for this role! This role also involves collaborating with multiple functions across Lightspeed, including Application Engineering, Product, Operations and Finance among others.

For this role, you should be located in Canada, and able to work within EST/EDT hours. We offer a choice of fully remote, partially remote or fully office-based work environments (in cities with local offices).

What you’ll be responsible for: 

• Cleanse and transform raw data into business logic to help stakeholders build reports and data models
• Ensure the right data gets to the right people at the right time
• Collaborate with a Central Data Team to build data pipelines in accordance with shared best practices and design, and feed proper data models for usage
• Act as a champion for data quality and usability across the Golf organization
• Ensure availability, quality and searchability of data and documentation
• Write, clean and maintainable queries and scripts that are highly performing, well structured and easy to understand and extend
• Automate testing of data models and add appropriate validations to ensure quality
• Help define and improve our internal standards for data models and infrastructure
• Help define the data vision and roadmap for a new and fast-growing product
• Mentor and help grow the team

What you will bring to the team:

• Proficient with SQL and Python (or equivalent language)
• Experience with MPP data warehouse (we use BigQuery)
• Proficiency in performing data profiling, data mapping and data quality validation
• Experience with data orchestrator
• Solid understanding of industry standards for data warehousing and data modeling
• Proficiency with data environments (we use GCP) as well as containerization solutions
• Proficiency in source control, CI/CD and automated testing
• A security mindset with ability to work with compliance protocols (SOX, GDPR)
• Excellent communication skills and ability to communicate with technical and non technical stakeholders
• Excellent problem solving skills
• Ability to work independently and in teams
• Self motivated and great at taking initiative

Some additional things that would be a bonus:

• Experience in working with SaaS solutions
• Solid knowledge of cloud services (GCP in particular)

What’s in it for you:

• Join a growing team and help us move to the next level
• Amazing benefits & perks, including equity for all Lightspeeders
• Constant development of both your skill-set and business acumen with limitless growth opportunities
• Lots of autonomy, flexible work culture
• Innovation time to explore and learn at work
• Shaping the company by joining cultural & technical committees
• Tons of growth opportunities into technical or people management roles
• Opportunity to join a fast-paced, high-growth company
• Opportunity to learn, expand your skill set, forge wonderful relationships and make your mark within the diverse and inclusive Lightspeed family, a true Canadian tech success story

….  And enjoy a range of benefits that will keep you happy, healthy and (not) hungry.

• Lightspeed equity scheme (we are all owners).
• Flexible paid time off and remote work policies.
• Health insurance.
• Contributions to your pension plan - RRSP.
• Health and wellness benefit of $500 per year.
• Paid leave and assistance for new parents.
• Mental health online platform and counseling & coaching services.
• Training opportunities to grow your skills and career
• Volunteer day.
• Fully stacked kitchen (hot and cold beverages, meals served) 
• Happy hours to build your relationships with colleagues after work