VendorPM is on a mission to revolutionize the property management industry by being the first in Canada to offer a software-enabled marketplace helping owners and property managers better work with vendors. We transform vendor management - a process that is decentralized, tedious and out-of-date - and streamline it for efficiency and simplicity, all while providing head office with visibility and control.
We're one of the fastest growing Toronto startups and we're backed by world-leading SaaS & PropTech funds including; Bessemer Venture Partners, Prudence VC & Navitas Capital.
Our team is passionate about growth, innovation, and collaboration so if you have a growth mindset, love a fast paced environment and are looking to make a groundbreaking impact in this industry, you are probably a great fit for our team!
The Role
As an Analytics Engineer, you will be an integral part of our data team, contributing to the design and development of scalable data pipelines and managing our business intelligence tools. Your role will involve collaborating with various stakeholders to understand requirements, implementing solutions to improve data quality and accessibility, and driving analytical insights to support decision-making across the organization. You'll have the opportunity to work on a variety of projects, from optimizing pipelines to enhancing data security, and play a key role in preparing our data infrastructure for future growth.
As a Member Of Our Team You Will
- Create and maintain scalable and reliable data pipelines to process structured and unstructured data from internal and third-party systems
- Develop accurate, well-documented, and flexible data models to serve as a single source of truth for the organization
- Identify and implement internal process improvements to automate manual tasks, optimize data delivery, and enhance scalability
- Collaborate with internal stakeholders to design and develop internal and external reporting solutions to solve business problems and provide valuable insights
- Own and maintain event definitions in Heap to ensure high data quality and extract maximum value from the platform
- Assist internal stakeholders during business hours (9-5 EST) with reporting requests and data quality investigations
- Champion data privacy, quality, and security within the organization
You're the Missing Piece of the Puzzle
- 2+ years of experience as an Analytics Engineer or Data Engineer
- Bachelor's degree with a major in Mathematics, Statistics, Computer Science, Engineering, or equivalent
- Strong skills in SQL and Python
- Experience with analytics data warehouses such as Redshift, Snowflake, or BigQuery
- Proficiency in data pipeline and workflow management tools such as dbt, AWS Glue, Fivetran and Segment
- Experience with business intelligence tools and familiarity with Sigma and Heap is a plus
- Ability to learn new technologies and strong problem-solving skills
- Excellent communication skills, both verbal and written
What's In It For You
- Opportunity to work in a high-growth, dynamic environment
- Competitive compensation package
- Comprehensive health benefits
- Remote work opportunities
- 18 days of vacation + Paid wellness days
- Real work/life balance
- Team events and a collaborative tight-knit team
- Ongoing learning and development opportunities
- Meet Your Fellow Problem-Solvers
We believe in collaborative problem-solving. Meet some of your fellow problem-solvers:
Interview Process
We want to ensure transparency and clarity throughout the interview process. The process will consist of:
- Google Meets call with HR
- Interview with the Hiring Manager
- Technical Assignment/Code Round
- Interview with Team Leads
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