Senior Analytics Engineer

At HelloFresh, we want to change the way people eat forever by offering our customers high quality food and recipes for different meal occasions. Over the past 10 years, we've seen this mission spread around the world and beyond our wildest dreams. Now, we are a global food solutions group and the world's leading meal kit company, active in 17 countries across 3 continents. So, how did we do it? Our weekly boxes full of exciting recipes and fresh ingredients have blossomed into a community of customers looking for delicious, healthy and sustainable options. The HelloFresh Group now includes our core brand, HelloFresh, as well as: GreenChef, EveryPlate, Chef's Plate, Factor, and Youfoodz.

Job Description:

We are building a cross-functional team of data scientists, analysts and engineers with the mission to bring the modeling and analytical capabilities of our marketing organization to the next level.

As a Senior Analytics Engineer, Business Intelligence with HelloFresh, you will support the analytic needs of our Growth organization for HelloFresh US. You will play a pivotal role in helping us continue to succeed as the leading global meal kit provider. The Senior Analytics Engineer, Business Intelligence will solve challenging problems using customer and business data to provide detailed and actionable insights; core responsibilities include the development and automation of Marketing BI tools in addition to professional-grade dashboarding and reporting for some of our most critical initiatives and enhancing and facilitating the information extraction process.

To succeed in this role, you must demonstrate a desire to improve on existing techniques and processes and have a passion for data storytelling. You should strive to drive opportunities on experimentation and predictive modeling and recommend improvements on strategies used by our marketing team across million dollar campaigns.

You will…

Develop and enhance our current reporting infrastructure, using state of the art computing and visualization tools (e.g. SQL, Tableau, Python, Google Analytics, etc.).
Help to architect the data model of the analytical layer in the data warehouse to support marketing KPIs, ultimately helping to drive better business decisions
Gather functional requirements from stakeholders, evaluate upstream data structures, and partner with the Data Engineering team in the design and implementation of pipelines to load the data warehouse
Grow into the role of a trusted data architect for the Marketing Analytics US team that takes ownership and responsibility for the architecture of the Marketing US data warehouse
Performance tune productionalized queries and data pipelines (Impala, Snowflake, Databricks)
Provide support in the development and modification of dashboards using Tableau
Become very familiar with our BI Tool, Tableau, such that you can better architect the data warehouse for use in conjunction with Tableau
Develop an in-depth understanding of the data infrastructure at HelloFresh, working closely with the Data Team (analysts, data scientists, and data engineers) in order to facilitate the information extraction process
Help productionalize automated data science solutions to cover the needs of the various stakeholders in the Growth Organization (Marketing, CRM, Product etc) and Finance

You are…

Collaborative: you can work hand in hand with stakeholders, data scientists, engineers, and other data professionals to realize the full value of data products.
Sense of ownership: you take responsibility for your projects and pride in your work.
Strategic & critical thinking: you get the smaller and the bigger picture.

At a minimum, you have...

A BS/MS in computer science, mathematics, economics, statistics, engineering, or equivalent analytical experience.
At least 5-7 years of professional experience in Data Modeling, Data Analytics, and Business Intelligence. Past experience in Marketing Analytics is a plus.
Strong SQL & strong knowledge of databases and data modeling concepts. Knowledge of Python. Experience developing reporting on a BI platform (e.g. Tableau, Power BI) and working with data science teams is a plus.
A solid understanding of techniques and best practices for database design, data modeling, and ETL.

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