Digital Product Analystdigital Productbath, United - Bath, United Kingdom - Love Honey

Love Honey

Verified Company

Bath, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

Working Hours:
Monday to Friday (37.5 hours per week)
Location:Bath/Hybrid (working from our Bath office 3 times per week)

We are expanding our Digital Product Team with an Analyst, to assist with the endtoend execution of experiment and CRO initiatives across our portfolio of websites.
The purpose of this role is to ensure our storefront and experimentation teams are provided with proactive and regular analysis and reporting to measure performance and act where appropriate.
You will help shape and influence the design and flow through the Lovehoney websites to support the optimisation of user experiences that are intuitive, engaging and provide value to the business. You will be assisting the team in the discovery, design, and development of a wide variety of products, features and journeys, including optimising page layouts, promotional devices, campaign pages, user selfservice tools, loyalty engagement journeys and more.
You'll be responsible for undertaking exploratory analysis to uncover new opportunities for optimisation, prelaunch analysis to support the prioritisation framework and reporting on the impact new code releases have on key metrics and user journeys for each website.
You'll be a true advocate for the customer, putting your understanding of ecommerce, evidence gathering, statistical analysis and reporting to full use to help form bestinclass website features and functions that will improve the user experience and deliver on business objectives. You'll thrive on seeing the value added by your work and will develop and hone your technical skills to have maximum commercial impact and relevance to the business.
To succeed in this role, you should have a natural analytical way of thinking and be exceptional at providing clear actionable insight. You'll love ecommerce, statistical analysis and customer behaviour and have a drive to continuously improve our performance to exceed targets.
If you love working with data, strive to improve business performance and have handson experience of experimentation within an ecommerce context then we'd love to meet you.

Key Responsibilities

Regularly review and interrogate the Lovehoney analytical packages to identify emerging user struggles and to measure & report on the performance of newly deployed features and products
Gather and evaluate user feedback, transaction and clickstream data using tools such as GA, ContentSquare and Tableau in collaboration with UX, product managers and developers
Use familiar web analytics tools such as GA360, GA4, GTM and Contentsquare as well as develop bespoke analytics tools and data pipelines using SQL, Python and R
Help develop experiment plans and help shape the experiment roadmap
Deliver insights to Product Managers to inform their decisions and help them prioritise their backlog
Design effective experiments (A/B tests) with data driven hypotheses, calculating appropriate sample sizes & run times and ensure they are run in a scientifically valid way
Analyse experiment data when ready using techniques such as Bayesian inference and Nullhypothesis ttesting
Report on results and test outcomes & keep stakeholders informed, producing clearly articulated summaries of research & testing activities for relevant business stakeholders and the wider business.
Collaborate with our Digital Analytics Implementation Team and Data Teams to help define what we need to measure on our sites to quantify the successes & failures of product features & initiatives
Adhoc exploratory analysis of user journeys
Create dashboards in R, Tableau and Google Data Studio to present data drawn from multiple sources in a meaningful
Set up and run data pipelines alongside our BI team, connecting data sources as required for analysis and monitoring
Assist in improving our processes and tooling to enhance our testing & analytics capabilities.
Advise teams on the right metrics to use when setting up experiments and the right way to retrieve those metrics from our data sets during the evaluation phase.
Seek to challenge stakeholders to drive accountability and ownership.
Work closely with our Data/BI and Commercial Insights teams
Deliver ongoing support to product teams to assist them at every stage of the experiment lifecycle, from helping them to decide on the right type of experiment to use, all the way through to making sure they reach the right conclusions when analysing the results.