Senior Analytics Engineer, Product

Data Remote (Europe)

The Data Team at PandaDoc is currently overhauling existing processes and creating a cutting-edge insights infrastructure from the ground up. We have a reporting line directly to the CTO and co-founder of PandaDoc, so we have an ideal environment for visibility and impact generation.

Currently, we have 2 teams inside the Data organization: Analytics (Marketing, Revenue & Product) and Data Engineering (Data & Analytics Engineering). As a Senior Analytics Engineer you will join the Data Engineering team, reporting directly to the Director of Data Engineering.

We have two main priorities for the 2024 year:

Migrate to new infrastructure (Snowflake, Airbyte, Segment, Select Star, Monte Carlo, dbt, various BI tools) to ensure we remain at the forefront of industry trends, revising existing processes, building a strong data model, and creating standards as we go
Generate impact by using data to find and address the biggest opportunities and key problems in different areas of the business

Our Vision is to be the source of data and go-to recommendation engine for departments across the company... we just need you to join us and help us get there!

Responsibilities

Work closely with Product Data Analysts and Data Engineers on data model requirements (metrics, dimensions, business logic) related to our product data (events, how customers use our product)
Build and own foundational data models that will serve various downstream applications (dbt + Snowflake)
Improve data quality, by developing business data observability strategies and alerts for different areas in the company (Monte Carlo)
Help define the Analytics Engineering function within the company, creating processes and standards
Help define best practices for Snowflake, dbt, and data modeling
Document all dimensions, metrics, and business logic (Select Star)
Cooperate closely with Data Engineers to make sure we create best-in-class infrastructure
Foster collaboration with Product Data Analysts, Analytics Engineers and Data Engineers to achieve common goals

Ideal requirements

Proficiency in SQL (minimum of 5 years)
3+ years of experience in dbt + Snowflake
5+ years of experience in a similar position (data warehousing, data modeling, data engineering)
Excellent communication skills

You’ll get bonus points if you:

Have worked for a B2B startup in the past
Have previously been involved in a Redshift to Snowflake migration
Have experience with Airflow, Airbyte, Monte Carlo & Select Star
Have built a marketing attribution model
Have implemented revenue, churn and retention data models

Company Overview

PandaDoc empowers more than 50,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes.

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers.

Check out our LinkedIn to learn more.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.