Conversion Optimisation Analyst
The Conversion Optimisation Analyst will join AFerry.com, an Oxfordshire-based company at the forefront of e-commerce for ferry travel for the past 17 years. Following a major re-structuring, the Conversion Optimisation Analyst will be joining during an exciting time of change and innovation.
We are looking for data-driven Conversion Optimisation Analyst to understand customer behaviour better so that we can drive conversion improvements and enhance user experience. Providing a better user experience, understanding user journey, and answering the question of why customers do not convert keeps our digital team awake at night! We want to know how they find us, the devices they use, how they interact with the site, and how successful we are at converting them into customers.
As the Conversion Optimisation Analyst, you will have a key role in the digital team, using data insights from A/B and multivariate testing to drive change and maximise ROI across the AFerry brand.What you'll be doing...
- Analysing the results of A/B and multivariate tests, harnessing insight and producing actionable recommendations that feed into the productUse Analytics and other tools to identify areas of the site with high testing potentialTurning ideas, from both quantitative and qualitative data sources, into test plans with strong hypotheses and well-defined success metricsDeveloping an expertise of testing / optimisation best practices and using this knowledge to champion testing across the business
- Degree in a quantitative subject, e.g. maths, physicsExperience in an analytics-based role, preferably in an e-commerce settingStrong foundation in enterprise analytics tools such as Adobe or Google AnalyticsAn interest in product/UX and understanding of latest trendsA genuine passion and curiosity for using data to drive changeExcellent communication skills
- Understanding of the statistics of A/B testingExperience with testing tools (e.g. Adobe Target, Optimizely, Maxymiser)Experience with different CRO tactics & software (heatmaps, scrollmaps, visitor recordings, NPS scores)Experience with scripting language and software such as SQL, R, PythonAn interest in data visualisation and its tools, e.g. Tableau
Along with a competitive basic salary, the position attracts a pension contribution scheme, 22 days holiday a year, and free daily lunch on site. Our office hours are 0900 – 1730, Monday – Friday and there is plenty of free parking available onsite.
This job was originally posted as www.cwjobs.co.uk/job/79980074