Senior Data Analyst in Product Information
- Location
- Job-type Full time
- Salary Negotiable
- Sector IndustrialTech
- Reference CR/004714_1613986499
We're looking for a:
Data Analyst with 4-7 years experience (Senior) in Product Information Pages
Background
The Product Information Pages (PIP) team is a core product team within the Range area in the Customer Domain. The team uses data and analytics to optimise product performance; designing and experimenting with product placement & presentation, as well as other features to see whether the customer experience improves or not. After an initial phase with focus on infrastructure, the team is now shifting to a core focus on customer-facing metrics and how to optimise engagement, incl. SEO performance. Ramping up Data & Analytics is key for success in this next phase
The scope of the consultant services is to assist in..
* Help the team define appropriate performance metrics that capture a good PIP experience, and visualise the metrics using Data Studio on top of BigQuery on Google Cloud Platform
* Lead the experimentation agenda within the team together with UX, formulating valid hypotheses and setting up proper A/B tests, in order to evaluate them
* Perform simple analyses on clickstream data using e.g. Python to evaluate the causal relation between engagement optimisation in PIP and optimising our .com experience as a whole
* Dive into customer behaviour on .com with visual tools (Contentsquare) to identify opportunities for site improvements, or customer pain points for our team to work actively to mitigate
- Requirements:
Desired knowledge, experience, competence skills etc.
* Formal qualifications (BSc, MSc, PhD) in economics, engineering, natural sciences, or equivalent
* Minimum 5 years of professional experience as a Business Analyst, (Junior) Data/Web Analyst or (Junior) Data Scientist
* Extensive knowledge of data processing for large datasets
* Experience with presenting to large audiences and senior stakeholders
* Familiarity with cloud computing environments, e.g. Amazon Web Services or Google Cloud Platform
Three most important things
* Minimum 5 years of professional experience as a Business Analyst, (Junior) Data/Web Analyst or (Junior) Data Scientist
* Extensive knowledge of data processing for large datasets
* Experience with presenting to large audiences and senior stakeholders
