Senior Analytics Engineer, PartnerStack
+ Employee Stock Option Plan
More information about location
Partner relationship management platform
Be an early applicant
Partner relationship management platform
201-500 employees
Be an early applicant
+ Employee Stock Option Plan
More information about location
201-500 employees
Company mission
To change the way companies reach customers through channel sales.
Role
Who you are
- 5+ years of demonstrated programming experience in Python and SQL, directly on data infrastructure deployments
- Hands-on experience with modern data stacks and tools such as BigQuery, RedShift, Databricks, Snowflake, Airflow, DBT, Fivetran, Looker, PowerBI or similar
- Strong software engineering fundamentals: CI/CD, version control, unit/integration testing
- Bring an analytical and business-outcome mindset to the efforts of data engineering
- Experience leading cross-functional stakeholders to execute high-impact data focused projects
- An ability to thrive in a fast-paced and ambiguous environment - organizing proactively, focusing on key priorities and adapting when required
- Communicate complex ideas in a simple and easy-to-understand way for any audience
- A clear bias for action and an ability to act autonomously without being told what to do - taking ownership and accountability for your work
What the job involves
- You are resourceful, independent, and good-natured with strong communication skills and a strong level of technical ability. You are passionate about working with data and creating novel insights about the business.
- You love seeing a story through data and helping organizations identify opportunities, as well as, improve processes. You are curious, strive to continuously develop your skill set and love to explore new concepts or technologies
- The Data Operations team sits at the intersection of the skill sets of data scientists, analysts, and data engineers. Our mandate is to empower teams across PartnerStack to make data-driven decisions by leveraging our technical expertise and curiosity to unlock trusted and reliable data resources
- Define and evolve PartnerStack’s analytics engineering standards, shaping how data is modelled, tested, and consumed across the business
- Build tools and infrastructure to support the democratization of data across PartnerStack
- Lead data projects from ingestion to reporting, showing your ability to manage scope and to work with ambiguity
- Adopt software engineering best practices, such as version control and design patterns and teach others to adopt these best practices
- Support enablement efforts such as documentation and training business users on data best practices across the organization
- Help shape the data model at PartnerStack, which will advance our broader analytics strategy
- Our Tech Stack:
- PostgreSQL
- Google Cloud Platform: Composer, Cloud Storage, BigQuery
- Segment
- Apache Airflow
- Looker
- Pendo
- Python
- Jupyter Notebook
Our take
The benefits of having a partner program are huge - from the increased sales growth to reaching new markets, all the while keeping costs low. At the time PartnerStack was launched, there were no Partner Relationship Management (PRM) platforms offering to pay out partners, automate emails, track more than one conversion per customer, or run more than a single partner program.
PartnerStack was built as a partnerships platform aimed at supporting B2B SaaS companies in building and scaling their partner channels. As the only PRM platform built specifically for this market segment it has proven to be popular and their client list includes Vimeo, DoorDash and Freshworks, to name a few.
Despite an impressive level of investment funding, PartnerStack struggled somewhat with the market turmoil across 2022 and 2023. After making substantial cuts to its workforce it is now better aligned for current market conditions and is well positioned to resume its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-24% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2021
$29m
SERIES B
May 2019
$7.2m
SERIES A
Total funding: $38.4m
Company benefits
- Flexible working hours (in coordination with your team)
- High-quality health insurance, active from your first day
- MacBook shipped to you + budget for your peripherals of choice
- Regular social events, even while working remote
- Internal job postings and opportunities for promotion
Company HQ
Entertainment District, Toronto, ON
Leadership
Bryn Jones
(Co-Founder & CEO)Was a National Team Athlete of Canada for the swimming category. Also co-founded Pod in 2013.
Neil Chudleigh
(Co-Founder)Has experience in Raw Data Imaging and as a QA Analyst. Is Founder at superwhisper and was Co-Founder and CTO for Yunite.
Luke Swanek
(Co-Founder)With experience in Business and Economic Development, was also co-founder of Pod.
Margaret Jones
(Co-Founder & Advisor)Formerly a Senior Consultant, Co-Founder and a VP of Finance for 7thonline. Also has experience as a Finance and Business Advisor for Inner Analytics.
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