Web Analyst

Southam
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Business Intelligence Manager

GIS Technician

Business Intelligence Developer

Trainee Coding and Programmer - No Experience Required

Trainee Coding and Programmer - No Experience Required

Micheldever Tyres is looking for an experienced Web Analytics and CRO Specialist to manage our Google Analytics / Tag Manager implementation and our conversion rate optimisation strategy to help improve our digital performance and deliver growth. Produce accurate data, implementing tracking solutions, and driving insights that improve our digital performance and support the business wider digital marketing reporting needs.
The role is responsible for extracting, manipulating and interpreting the wealth of data into deliverable insights for the immediate and wider teams. The majority of data will come from GA4 but is supplemented with in-house data from our IT team and other systems such as Power BI. This is a key role in the digital strategy and for delivering our growth targets.

  • Position: Web Analytics and CRO Specialist
  • Essential: Experience of X Google Tag Manager (GTM), Google Analytics 4 (GA4) and Conversion Rate Optimization (CRO)
  • Hybrid Split: 1-3 days in the office/field, 2 days working from home.
  • Benefits: Staff discounts on servicing, tyres and MOTs. Retail vouchers, Finder’s fee, Life Insurance, Pension, Eye Care Vouchers, Buy/Sell Holiday, Flu Jab, Employee Assistant Program. Long Service Recognition, Enhance Maternity and Paternity, Cycle to Work, Charity Match.
    About the role:
  • Using Google Tag Manager to tag new elements on the website to track and report on the performance of any changes to the website, such as new tools and feature sets.
  • Collaborate with the Digital Team to have a full understanding of the key touch points of a user’s journey across pages from the page they land on all the way through to purchase or abandonment.
  • Collaborate with the Digital Team to build interactive dashboards (GA4, Looker Studio, Power BI) to monitor daily, weekly and campaign KPIs to report on campaign performance and reporting back to the business on what we learnt.
  • Fully understand the customers digital experience using tools such as Content Square.
  • X Google Tag Manager (GTM): Lead the configuration, maintenance, and optimization of our GTM implementation. Develop and implement comprehensive tracking strategies. Collaborate with IT, Performance Marketing, and SEO teams to implement tracking requirements
  • Google Analytics 4 (GA4): Own the configuration and optimization of our GA4 implementation. Design and implement custom events, conversions, and audience definitions. Create and maintain measurement protocols for enhanced tracking capabilities
  • Conversion Rate Optimization (CRO): Identify opportunities for conversion optimization through data analysis. Design and execute A/B tests to optimize user experience and conversion rates
    Full Job Description available.
    About you:
  • Google Analytics and GTM certification
  • Excellent experience with Google Tag Manager, including complex implementations
  • Expertise in Google Analytics 4, including migration from Universal Analytics
  • Experience of Content Square
  • Experience with JavaScript, HTML, and CSS for tracking implementation
  • Proven track record in conversion rate optimization and A/B testing
  • Experience working with development teams and managing technical implementations
  • Experience with data visualization tools and creating executive-level reports
  • Strong understanding of web analytics, tracking methodologies, and data validation
  • Strong analytical skills with the ability to translate data into actionable insights
  • Knowledge of privacy regulations (GDPR, CCPA) and their impact on analytics
  • Familiarity with SEO best practices is nice to have
  • Excellent communication skills, able to explain technical concepts to non-technical stakeholders
    About our company:
    Micheldever Tyre Services (MTS) was founded in 1972 as a part-time venture providing car servicing and tyres. Today, Micheldever Group is the fastest growing wholesaler, distributor and retailer of tyres in the UK, selling six million tyres nationwide, (20 percent of the total UK market) and employing approximately 2100 employees company wide.
    To support this business, we have built a wholesale distribution network of 14 sites around the UK supplying over 6,000 retailers and our own retail chain Protyre Autocare which is consistently growing. This is achieved by skilled, focused and determined teams across 1 central distribution and 13 warehouse operations nationwide

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.