Job Overview

We are looking for a data-driven, highly analytical, customer-obsessed Product Analyst to support the Physical Product team of our newest brand, Factor: a healthy, ready-to-heat meal delivery service. 

This role will be responsible for developing hypotheses & deep-diving into key problem spaces, returning with data-driven insights that will help inform our product strategy & priorities across Europe. Reporting to the Head of Product, you will work between our Culinary R&D, Menu Planning, Product Operations, & Product Strategy teams to ensure we are constantly deepening our understanding of who our customers are & how we can better serve their core needs. While data-drivenness is at the heart of this role, we are looking for someone who has a good intuition for user experience & behaviour as well, & who can tie data back to the real world or come up with relevant hypotheses even with low signals. 

Responsibilities

• Deep dive into internal data sources (e.g. recipe feedback, customer surveys, cohort analyses, etc) to develop & test hypotheses about customer behaviour
• Identify gaps in our current product offering; use external data to conduct market research & identify compelling opportunities for our Culinary R&D team to pursue next 
• Develop & manage data pipelines & dashboards for use by the rest of the Product team, enabling others to be more data-driven
• Generate periodic reports that summarize Product KPIs & key insights around customer preferences, needs, & behaviours; share with stakeholders across the Product team & the rest of the organization
• Be a data champion for the organization: occasionally support in automating processes, building useful models (e.g. for planning), performing complex analysis, & providing meaningful & actionable insights to increase product performance

Requirements

• 2-4 years of experience in a highly quantitative / analytical role (e.g., Product Analytics, Business Intelligence, Data Science, Consulting, or similar)
• Proficiency with SQL & the ability to write complex queries to extract, analyze, & visualize data
• Proficiency in data visualization tools (e.g., Tableau, Looker, Power BI) to improve access to data & to communicate insights effectively
• Strong communication skills: you are able to synthesize your complex analyses into digestible narratives that are tailored to different audiences 
• Strong business acumen: you translate data into actionable recommendations
• Entrepreneurial mindset: you are highly resourceful, love owning problems, & find ways through obstacles
• Experience in consumer-facing digital products, e-commerce, or food delivery is a plus
• Knowledge of Python or R for statistical analysis is a plus but not required
• Curiosity for & familiarity with AI tools is a plus 

Why you'll love it here:

• Freedom to initiate, execute & implement your own ideas
• Lots of learning & development opportunities
• 24  holidays based on 40 hours per week per year, pro rato
• A hybrid work setup - with roughly 2 days in our Amsterdam office 
• Reimbursement of travel expenses to the office if you live more than 5 km from the office with a maximum of 40 km one-way. 
• A discount on your weekly, Factor, HelloFresh and/or Green Chef box in the Netherlands
• Healthy lunches, fruit & snacks in the office 
• Competitive salary & pension scheme
• Social activities with our culturally diverse team! 

Are you up for the challenge?

• Please submit your complete application, with motivation letter, below including your salary expectations & earliest starting date 
• After submitting an application our team will review & get back to you 

#factor  #JD1008