Product Data Analyst

Om MatHem

MatHem grundades 2006 och är idag marknadsledare inom e-handel för livsmedel. Vårt mål är att ge våra användare smidiga och engagerande upplevelser i allt från planering och inköp till levereras med hög kvalitet direkt hem till dörren. Vi är ca 1500 anställda fördelade på vårt huvudkontor i centrala Stockholm och våra tre logistikcenter i Stockholm/Bromma, Göteborg och Malmö.

MatHem pioneered and leads online grocery shopping in Sweden. The Swedish grocery market is worth $30B annually and we are going after a large slice of that pie. In comparison, the global music streaming market is worth $19B annually. We are dedicated to creating an outstanding experience for our customers - from planning purchases with your family until the milk is in your fridge. At MatHem you have a rare opportunity to use Tech to put a positive dent in peoples’ lives. The smile on people’s faces when the groceries are handed over is priceless. We create more time for whatever people love - cooking, family time, exercise and work.

We have high ambitions and are undergoing a transformation into a Tech company. We look for strong people with ambition to make a large impact on our customers and our company. You will have all opportunities to do so. MatHem is backed by Kinnevik who has a track record of backing companies who successfully transform industries - from media to telco.

We’re now looking for a Product Data Analyst to join our tech department in our Stockholm office. As a part of an innovative, agile, international team in one of Sweden’s fastest growing tech companies you’ll have a unique opportunity. We’re excited to be working with Google’s suite of world-class data products, such as BigQuery for data warehouse, Google Optimize for A/B-testing, Firebase Analytics for our mobile native apps, etc.

Responsibilities

• Own end-to-end analytics for your area, from designing models (retention, segments, cohorts, etc.) to planning, creating and running A/B tests on large datasets to identify user trends, extract insights and improve the customer experience
• Work hands-on with our product teams and other stakeholders within the organisation to enable and promote more accurate, data-driven decisions and provide clarity on how each team is contributing
• Work with engineers to understand how we collect data and what we need to do to produce reliable product data, e.g. what instrumentation we need.
• Present actionable business recommendations based on insights and design impactful visualisations to track and highlight progress

Skills & Wish list

• Bachelor's degree and/or MSc in a quantitative discipline (such as math, statistics, engineering, etc) or equivalent experience
• 1+ years of experience working for a technology company
• Proficient in data science languages such as SQL and Python and/or R.
• Strong analytical and statistical analysis skills
• You're comfortable with ambiguity, can tackle loosely defined problems and come up with relevant answers and actionable insights
• Experience in using BI- and visualization tools (such as PowerBI, Data Studio, or similar)

Apply here