Digital Analytics Consultant

fifty-five
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Digital Analytics Consultant

Data and Analytics Consultant

Project Lead

Senior Analytics Consultant

Analytics Consultant

Senior Oracle Analytics Consultant (Outside IR35 Contract)

About The Role

We are looking for ambitious, analytical graduates looking to take on an exciting role with fifty-five as a Digital Analytics Consultant in our London-based consulting team. This is a varied role which spans across digital strategy, media advisory website architecture, UX analysis and business insights.

Working as part of a small, collaborative team, you will play a key role in delivering fifty-five's data-led projects to multiple, big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions.

You will report to a Senior Consultant and work alongside other Consultants, Tracking Specialists, Cloud Engineers and Innovation Experts. Examples of project work you will be leading within the first year of your role include but are not limited to:

  • Implementing technical website tracking solutions
  • Helping companies track their online marketing performance
  • Developing engaging dashboards for senior management

About The Company

Part of The Brandtech Group, fifty-five is a data company helping brands collect, analyse and activate their data across paid, earned and owned channels to increase their marketing ROI and improve customer acquisition and retention.

Headquartered in Paris with offices in London, Hong Kong, New York and Shanghai, fifty-five is a certified Google Partner company and was named by Deloitte as one of the fastest-growing tech firms in Europe, thanks to its unique technology approach combining talent with software and service expertise.

Responsibilities

Within your first year at fifty-five, you will be responsible for the following:

  • Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client-facing position, supported by a team of technical specialists
  • Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate
  • Developing a sharp, operational expertise about web analytics and media-buy topics
  • Occasional travel possible, within the UK or abroad

Progressing in your journey at fifty-five, you will be given the opportunity to grow in your role through first-hand exposure to multiple disciplines and, if interested, you might be selected to take a specialist path.

Relevant Experience

  • Educated to degree level
  • Analytical mindset, keen to apply data to challenges
  • Detail oriented, proactive and self-motivated, good organisation is paramount
  • Curious and eager to learn, able to challenge and recommend solutions to problems
  • Flexible, versatile and works well under pressure
  • Collaborative, works well in a team, understands that the sum of our parts is better than the individual
  • Strong interest in new marketing technologies & the digital industry
  • Interest in working in a small, growing team
  • Have the right to work in UK

Desired Experience

  • Masters degree level
  • Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics)
  • Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata)
  • Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau)

If this sounds like you, please get in touch! We look forward to meeting you.

In return, we are pleased to offer you the following benefits:

  • Being part of a multicultural, dynamic and fast-growing team
  • Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by recurring training sessions)
  • Phone allowance
  • Private medical coverage through AXA
  • Transport for London travel card allowance - covering 50% of zone 1-2 allowance
  • The flexibility to work remotely for part of the week
  • 25 days holiday per year, in addition to UK bank and public holidays
  • Company pension plan
  • Company-sponsored sporting and social activities
  • Cyclescheme

fifty-five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.#J-18808-Ljbffr

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.