Digital Analytics Consultant

Digital Analytics Consultant

Full-Time 60750 - 74250 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse data and deliver insights for big brand clients across various industries.
  • Company: Join fifty-five, a fast-growing data company with a collaborative culture.
  • Benefits: Gain hands-on experience, work with top brands, and enjoy career growth opportunities.
  • Other info: Dynamic team environment with opportunities for travel and specialist career paths.
  • Why this job: Be at the forefront of digital marketing, using data to drive impactful decisions.
  • Qualifications: Degree educated with an analytical mindset and a passion for marketing technologies.

The predicted salary is between 60750 - 74250 £ per year.

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

Responsibilities:

  • 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

Minimum Requirements:

  • 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

Digital Analytics Consultant employer: Fifty-Five

At fifty-five, we pride ourselves on being an excellent employer by fostering a dynamic work environment that prioritises employee development and satisfaction. Our London-based team enjoys a competitive benefits package, including private medical coverage and extensive training opportunities, ensuring that our employees can grow both personally and professionally while contributing to impactful digital marketing projects.

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Contact Details:

Fifty-Five Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Digital Analytics Consultant

✨Get Involved in Data Science Meetups

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✨Apply Directly through Our Website

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We think you need these skills to ace Digital Analytics Consultant

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Fifty-Five, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fifty-Five. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Fifty-Five

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fifty-Five!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.