Analytics Engineer

Named #4 startup in Canada for 2024, Hiive is a fintech/marketplace startup connecting buyers and sellers of stock in venture-backed pre-IPO companies🚀. Thanks to our industry-leading technology and best-in-class capital markets team, we are home to the fastest-growing marketplace for the stock of “unicorns” on the planet. As a profitable and rapidly growing business backed by US venture capital investors, we are seeking to scale our high-performing team.

Interested in learning more about life at Hiive? Check out our careers page to see how you can grow with us!

As an Analytics Engineer, you will help Hiive’s team members by supporting the expansion of our data capabilities to empower informed decision-making and enhance operational efficiency. Collaborating closely with data team leadership and business stakeholders, you will help to educate and enable teams to leverage data effectively for improved business performance. Additionally, you will support the ongoing evolution of our data technology stack, maximizing the capabilities and value derived from our data assets.

In this role, your responsibilities would include:

• Work across the entire lifecycle of data at Hiive from data source to serving use cases (data cleaning, transformation, defining and managing metrics, business intelligence, insight generation, operational analytics, marketing automation, and more)

• Collaborate with cross-functional business teams to gather data needs and efficiently deliver on tasks to support business objectives.

• Enforce data governance policies and best practices to ensure compliance with data privacy regulations and industry standards.

• Complete code reviews to maintain best practices and production quality data pipelines.

• Build BI solutions that help to deliver insights across every aspect of the business.

• Maintain a high quality data transformation layer in dbt (model performance, data quality, and documentation).

• Build and maintain highly flexible and performant data models to support business decision making.

• Promote a culture of data-driven decision-making and innovation within the organization.

Required Skills:

• 2+ years of experience as an analytics/data engineer, or similar role

• Experience with SQL, cloud-based data warehouses, dbt, ETL tools, code-based BI tools and Kimball data modelling

• Experience with core tools in our data stack being Snowflake and dbt

• Experience with query optimization and tuning

• Experience executing on data management policies for ensuring data integrity and data governance

• Experience with marketing, financial, product and operational data reporting 

Preferred Skills:

• Ability to work in Python and support data orchestration with tools like Airflow or Dagster

• Experience with Postgres, Fivetran, Hightouch and Metabase, or similar tools and technologies

• Experience in marketplaces and highly regulated industries would be beneficial.

Compensation, Benefits & Perks: 

• Highly competitive salary commensurate with experience and contribution.

• Opportunity to participate in ownership of a rapidly growing early-stage startup through our employee stock option plan.

• Comprehensive 100% employer-paid health and dental premiums, a health and personal spending account.

• A dedicated desk in our Vancouver, BC HQ, in the heart of downtown, with a fridge stocked with healthy snacks and drinks, an onsite gym, and a gorgeous rooftop amenity.

• Enjoy a $20-per-day commuter benefit for every day you work in our Vancouver HQ.

• An engaging social calendar, including bi-weekly catered lunches, bi-weekly “Friday bar,” team workouts, annual summer party, and holiday party, two “onsite” all-team retreats each year, semi-annual team-building events, and Hiive Womens’ Network events.

• Significant opportunities for growth into team leadership and management roles.

• Entrepreneurial culture and a small and dynamic team.

• Sponsorship, immigration, and relocation for exceptional candidates.

Hiive is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed.