Analytics Engineer

What Data at Hive looks like

Everyone at Hive is hungry for data, but it’s locked away in siloed tools and unwieldy spreadsheets. In the short term, we need easy access to clean, trustworthy, transformed data to support operational & strategic decision making. In the longer term, we want to be able to provide data insights back to our customers that they can use to increase their ticketing revenue.

You will be Hive’s first data hire, acting as a team of one to set up & manage a modern data stack and to support access to information & insights for the whole organisation. You will partner with teams across Hive to understand their data needs, building robust, scalable models that power self-serve BI tooling.

What you’ll get up to

• Data-Driven Culture: You will be an ambassador for our data-driven culture, taking data and shaping it to facilitate analysis, insight generation, and decision-making.

• Data Infrastructure: You will build a modern data stack from scratch and own the infrastructure, ensuring high data quality and availability for our core data sets.

• Data Management: You will ingest, clean and organise raw data in a way that makes sense for both you and the organisation.

• Data Strategy: You will help shape the data model at Hive, which will advance our broader analytics strategy.

• Data Governance: You will establish norms and best practices for data governance across Hive.

• Collaborative Execution: You will liaise between Business, Engineering, and Data to translate business requirements into proper data capture and schema design.

• Teamwork: You will support folks out in the business to get the insights they need, creating dashboards, coaching citizen analysts etc.

• Project Management: You will lead data projects from ingestion to reporting, showing your ability to manage scope and work with ambiguity.

Who you are

• 3+ years of experience as an analytics engineer, full-stack data analyst, or data engineer.

• Experience working E2E in a modern data stack (data ingestion to reverse ETL & reporting), probably at a small company or startup.

• Strong SQL skills.

• Experience working with a variety of complex data sources. Our toolset currently includes Salesforce, Stripe, Intercom, Vitally, Google Analytics, FullStory.

• Proven ability to translate business needs into analytical frameworks.

• Skilled at developing efficient self-service analytics platforms, data marts/sets & dashboards and designing effective data models.

• Have an appreciation of data governance principles including appropriate handling of personal data, data lineage, data cataloguing, and compliance.

• Excellent communication skills, spoken and written, with both technical and non-technical stakeholders.

• Comfortable working independently and autonomously in an ambiguous environment.

• You index for impact, you’re not afraid to make a decision without all the information, and you like to have fun while doing it.

Nice to haves

• Python skills, familiarity with AWS.

• You’ve set up and/or managed a data stack E2E before.

• Working experience with a variety of tools - you can speak to why we might choose BigQuery over Snowflake, or Mode vs Looker.

• You’ve worked in SaaS before, so you have an understanding of the data sets needed to answer the questions that teams are likely to have.

Bottom line... We're looking for curious, hardworking, down-to-earth people passionate about helping brands build enduring customer relationships. You'll be well taken care of with meaningful equity, salary, and the benefits you need to be happy & healthy.

Comp/Benefits Package

• Meaningful salary and equity: you're rewarded based on impact

• Work fully remote from the comfort of your home in Canada

• Flexible work hours: minimal meetings and no 9-5

• Health & Dental coverage

• Open vacation/PTO policy: so you can be happy and healthy!

• Generous parental leave top-up and a flexible return-to-work plan

• Comp Range: $100-140k

Hiring process

During the hiring process you’ll meet with folks from engineering, customer-facing teams, internal operations, and executive leadership. There’ll be a technical element to the process (working through a real-world problem), and across the interviews we’ll be assessing your communication & collaboration approach, as well as your alignment with Hive’s operating philosophies.

About Hive

Hive.co is a marketing platform for event marketers. We help brands personalize and automate their campaigns, using email and SMS, to empower them to sell out so they can focus on making their events unforgettable.

By integrating with ticketing partners like Ticketmaster and e-commerce partners like Shopify, we enable brands to access and act on all their customer data, so they can easily segment their list in thousands of ways, and send more customized, timely email campaigns that land in inboxes.

We started our company inside a University of Waterloo computer lab in early 2014, graduated from Y Combinator that summer (S14 batch) and have been growing ever since. Originally based in Kitchener, our team is now 100% remote and located all across Canada! We strive to provide an online work environment that allows team members to have a strong work life balance while still feeling connected to their team and Hive’s mission.

To learn more about our team check out our About Us page on our website: https://www.hive.co/company

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