Senior Analytics Engineer

What Makes Us Stand Out:

With the combined strengths of SingleOps and Landscape Management Network (LMN), we lead the way in all-in-one business management solutions for the green industry. Every day, thousands of professionals in landscaping, tree care, design/build, snow removal, irrigation, and more rely on our tools to transform their business operations. From managing customer records and creating estimates to scheduling crews, processing payments, and gaining insights into real-time profitability—our software does it all. Together, our customers have processed over $4 billion in revenue, driving forward the green industry’s digital evolution.

As a team, we’re on a mission to reshape an age-old industry, and we’re looking for people who thrive on challenging and meaningful work. Our environment is highly collaborative, innovative, and supportive, with a shared commitment to having fun while making an impact. We live by our core values: We Before Me, The Extra 1%, Bias To Act, Unconditional Transparency, Accountable to Outcomes, Forgiveness. If this resonates with you, we’d love to meet you and explore how you can help us build the future of the green industry!

Our culture and growth has been recognized with multiple awards, it’s a great time to join! 

• Certified Great Place to Work Canada 2024
• Comparably 2024 #23/100 Best (small/ medium sized companies) Leadership Teams
• Comparably 2024 #63/75 (small/ medium sized companies) Happiest Employees
• #9 Atlanta Business Chronicle's 2024 Best Places to Work (Our second year in a row!) 
• #6 of Built In’s 2024 Best Places to Work: Top 50 start-ups in Atlanta  (Our second year in a row!) 
• Inc Magazine’s 2023 Best Places to Work 
• Inc. 5000: #131 of 2024 Southeast Regional America’s Fastest Growing Companies. (Our third year in a row!)
• Inc 5000 America's fastest-growing private companies (Our third year in a row!)

Location: Remote!

We are expanding our data capabilities and seeking a Senior Analytics Engineer to bridge the gap between the foundational pipelines built by our data engineering team and the analytics and AI use cases that drive value for our customers and internal teams.

As a Senior Analytics Engineer, you will build upon the refined, high-quality datasets delivered by Data Engineers to create analytics-ready modes, metrics, and semantic layers. You will focus on transforming clean, performant data into business-focused, reusable datasets that support both BI dashboards and AI/ML feature pipelines.

Outcomes you will drive: 

• Build and maintain analytics-ready data models (Gold Layer) in Snowflake using dbt or similar transformation tools
• Define and document metrics and KPIs to ensure consistency across analytics and AI outputs
• Partner with Data Engineers to optimize data pipelines for performance, speed, efficiency, and accuracy
• Extend refined datasets to support feature engineering for AI models
• Collaborate with product managers and stakeholders to translate business requirements into scalable data models
• Enable analytics consumption through tools like GoodData, Redash, and other BI platforms
• Ensure data quality and trust at the consumption layer via testing, validation, and monitoring
• Support exploratory analysis, experimentation, and ad hoc queries

Does this sound like you?

• 4+ years of experience in analytics engineering, BI development, or similar roles
• SQL skills and experience with dbt or equivalent transformation frameworks
• Proficiency in python for data wrangling and lightweight ETL/ELT
• Experience with modern cloud data warehouses (Snowflake preferred).
• Familiarity with BI/visualization tools such as GoodData, Redash, Looker, or Tableau
• Strong understanding of data modeling best practices (e.g. Medallion architecture, dimensional modeling)
• Ability to collaborate across data, engineering, and product teams.

A few ways to stand out...

• • You’ve contributed to a metrics layer or semantic modeling implementation
  • You’ve built data models that service both BI and ML/AI teams
  • You’ve designed models for multi-tenant analytics in SaaS environments
  • You’ve implemented data quality and observability frameworks
  • You’re skilled at translating complex data requirements into clear, documented models

SingleOps/LMN does not sponsor work authorization needs; candidates must have proper work authorization to work for any employer in Canada, without sponsorship from the company.

Reasons why you would love it here!

• Join an incredible team culture that’s all about collaboration, support, and having fun while making a real impact every day.
• You want to be part of a fun, fast paced, collaborative team.
• An amazing culture with a team that supports one another, the opportunity to make a direct impact, and all the fun that’s included!
• Your well-being is important. We offer an employer funded HSA-based benefits plan with additional drug, dental, and mental health coverages, providing a flexible way to pay for healthcare costs.
• We are committed to supporting our employees' financial health through our RRSP matching program.
• Enjoy a great work-life balance with unlimited Paid Time Off, paid company holidays, and a company-wide shutdown from Dec 24 - Jan 1 for a well-deserved holiday break.

SingleOps/LMN reserves the right to change job descriptions as per the needs of the organization.

We are committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. If you require accommodation, please contact hr@singleops.com.