Analytics Engineer

Job Description

About LeafLink

LeafLink is the regulated cannabis industry’s largest wholesale marketplace, providing licensed dispensaries the ability to order from their favorite brands, as well as a suite of software tools for those brands to manage and scale their operations.

With over 5,000 retailers and more than 1,500 brands across 25 territories in the US and Canada, LeafLink is setting the industry standard for how cannabis businesses grow together. LeafLink annually processes and manages more than $2 billion in wholesale cannabis orders.

Our team, backed by funding from leading VC’s, is poised to define the cannabis supply chain through technology. LeafLink was named one of Built In NYC's ‘Best Places to Work in 2020’, as well as one of Fast Company’s ’Top 10 Most Innovative Companies in Enterprise for 2018’, joining the ranks of Amazon, Slack, and VMWare - and we’re just getting started!

The Role

LeafLink is seeking an Analytics Engineer to join our New York team. The ideal candidate will possess a blend of a sharp analytical mindset and ability to implement analytics solutions that scale. You enjoy working across the data stack spectrum: creating reporting products by translating business questions into analytics requirements and also creating data sources from the warehouse to automate the pipeline. You are comfortable presenting recommendations to business stakeholders from prototyped reporting products while being equally comfortable diving into the backend and writing code to scale the prototype. The ideal candidate should be personable, efficient, rooted in an experimentative and fact-based mindset. Bringing people along, communicating and gathering feedback on plans with internal and external stakeholders and collaborating cross-functionally should come easily to the candidate.

Responsibilities:

• Building processes and code bases for reporting pipelines using BI tools and modular code
• Creating and migrating ad-hoc reporting and analysis to automated always-on reporting
• Convert raw data into consumable information applying business logic and utilizing clean engineering workflows
• Custodian of quality of final source of truth data being served to business users
• Undertaking business analysis requiring inferential statistics
• Interacting with stakeholders to understand and document business questions in-depth and propose optimum reporting solutions using standard frameworks at LeafLink

Qualifications:

• Expert level skills in writing optimized SQL for creating, updating and querying tables
• Expert level skills in using Python for data processing and analysis at scale
• Experience using Pandas, NumPy, Sci-Py is a must-have
• Experience with multi-processing and Dask are a plus
• Expert level skills in building reporting products using BI tools like Periscope, Tableau, Looker etc.
• Experience working in modern data stack environment (preferably built on AWS)
• Experience writing and packaging modular code to run as containers (Docker)
• Experience using statistical inference to perform business analysis
• Well-versed in version control systems (Git)
• Exposure to dbt, Luigi, Airflow or other DAG based workflow frameworks
• Comfortable working in a fast-paced growth business with many collaborators
• Comfortable working across the stack when need arises

Benefits:

• Flexible PTO to give our employees a little extra R&R when they need it
• Competitive compensation and 401k
• Comprehensive health coverage (medical, dental, vision) plus flexible spending accounts (FSA)
• A robust stock option plan to give our employees a direct stake in LeafLink’s success
• Generous referral bonuses because we believe no one can spot great talent better than our own team