Job vacancy Analytics Engineer, Sales

Who we are and what we do

Deel is a global team that helps businesses hire anyone, anywhere, easily. Deel consists of more than three thousand self-driven individuals spanning over 100 countries. Our unified yet diverse culture keeps us continually learning and innovating the Deel platform and our products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the success of Deel’s platform. We deliver the best products and platform features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of Deel's success story?

A 30-mile hiring radius should no longer dictate how companies hire because great talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M last year, doubling our valuation to $12B.

There’s never been a more exciting time to join Deel — the market leader in international payroll and compliance.

About the role

Deel is one of the fastest SaaS companies ever to reach 100M revenue, and is far along the way to become the fastest company to $1B revenue. Driven by an enormous market, and high speed of innovation, Deel has expanded their product suite and customer base by many orders of magnitude in the last few years. With over 20,000 global customers, customer success is a vital strategic pillar for Deel. As an Analytics Engineer for Sales, you’ll work closely with our Analytics Engineering team and key stakeholders in Sales teams across the globe, helping to sell our products more effectively.

Responsibilities

• As part of our data team, you’ll work closely with data engineers, analytics engineers and analysts across the business to develop our infrastructure. 
• You’ll work closely with the most Senior Sales stakeholders 
• You will own the quality of our sales performance and forecasting data models and reporting infrastructure, building dashboards in Looker. Built upon internal data and 3rd party tooling data (Salesforce, Gong, Outreach, etc.) 
• You will support data enrichment of our Sales tools, to ensure Sales Reps have the right insights at their disposal where they do their work.  
• Create robust documentation to drive awareness and standardize sales analytics terminology
• You’ll own the definition, quality and reliability for key Sales metrics, like Quota attainments and Sales pipeline funnel.  
• Working closely with analytics engineering, you’ll help evolve our dbt model infrastructure 
• You’ll collaborate closely with our data science teams to refine forecasting models
• You’ll build reporting in Looker, from highly curated and formatted dashboards that will see 1000+ viewers per months, to highly customizable self-service frameworks for specific stakeholders 

Requirements:

• You hold a Bachelor’s degree in Math, Economics, CS, or another STEM field
• You have at least 5 years experience in an analytical role 
• You have experience with commercial domains, like Sales, Marketing or Customer Success.
• Expert in SQL
• Experience in DBT (ideally 1+ year) and data modeling and metrics design
• Experience designing and implementing a data warehouse, modern BI architecture
• Experience with version control tools (GitHub, GitLab)
• You’re an excellent communicator, you know how to tell simple, but compelling stories with data
• You work well with people across the spectrum 

We'd especially love to speak with you if:

• You have a worked with dbt and LookML
• You have experience using Sales platforms like Salesforce, Gong or Outreach 
• Experience with version control tools (GitHub, GitLab)
• You’ve worked for fast-growing B2B SaaS companies