Product Data Analyst - Experimentation
Lisbon, Lisbon, Portugal - Remote
Applications have closed
Marley Spoon
Marley Spoon delivers delicious, 30-minute recipes with farm-fresh ingredients to your door. Learn cooking techniques from Martha Stewart and save time with her meal kit.If you’re ambitious, love food, and want to be part of a growing company filled with opportunities, keep reading.
Since 2014, we've created the global brands Marley Spoon (Martha Stewart & Marley Spoon in the US) and Dinnerly to deliver meal kits with unique, easy-to-cook recipes and top-quality, pre-portioned ingredients. And bezzie, our dog food brand, caters to our four-legged friends too.
From day one, you’ll have the autonomy to use your initiative to bring your ideas to life, inspire your team members, and keep learning. Because we know that when you grow, we grow. You’ll own your role and have a lot on your plate, but you’ll be part of a stellar team that will support you along the way. And at the start of every day, you’ll feel proud and motivated to work for a better, more sustainable way to shop, cook, and eat.
We now have an exciting opportunity for a well rounded analytical thinker to help us expand our product experimentation landscape. We are looking for someone with a background in a big tech company and motivated to solve strategic and high impact problems with the power of data.
This role works closely with the business and the digital teams to come up with solutions to our biggest customer and operational challenges.
The role & responsibilities:
- Create and design A/B experiments, analyse the results and provide decision recommendations
- Perform analyses through understanding problems, collecting, preparing, visualising and examining trends in large data sets to deliver insights and recommendations to business stakeholders
- Build analytical experiments, reports and dashboards to track progress and monitor success metrics
- Prioritise according to business impact and support teams to drive change
- Be accountable for monitoring the backlog, improving our efficiency and ability to deliver results faster
- Identify and research for opportunities related to product (such as user experience) to lead to business success
- Research in how to expand the company tracking capabilities to retrieve insightful information
- Collaborate with other teams and cross-departmental projects
- Collaborate with the teams to ensure the best practises are being followed
Requirements
- Bachelor’s degree in. Quantitative subject: Mathematics/Statistics, Economics, or any related field of study
- 3+ years of experience in data analytics in tech
- Solid understanding of experimental methodologies (A/B testing, multivariate testing, etc.) and experience in designing and analyzing experiments to drive business impact.
- Outstanding analytical skills with the ability to analyse and disseminate significant amounts of information with attention to detail
- Intermediate/advanced knowledge of SQL, statistical analysis and Python
- Knowledge in one or more analytics & visualisation tools (e.g. Looker)
- Experience with Amplitude or other A/B testing tool
- Ability to manage multiple priorities and meet deadlines in a fast paced environment
- Ability to think creatively and change course if necessary, to achieve desired results
- Team player with good communication and storytelling skills
- Fluent in English
Benefits
- Autonomy, Impact, Collaboration, Learning & Growth
- Being part of a profitable company in full-blown scale-up phase - offering immense opportunities for personal & career growth
- Flexible working hours, a hybrid work environment and/ or full remote
- Spend 5% of your working time on personal learning and development
- Conference / Training budget
- Food allowance of 7.62 euros per worked day
- Health insurance to all employees
- Company training in different areas
- Company equipment
- Company Events
- Extra Annual leave days (total 24)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Amplitude Data Analytics Economics Looker Mathematics Python Research SQL Statistics Testing
Perks/benefits: Career development Flex hours Health care Startup environment Team events
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