JC - 5711 Senior Marketing Data Analyst

B2E Consulting
UK
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Irish Gaelic Linguist Consultant

Not yet part of our community? We don't advertise all assignments, so if you're not yet connected, register here to make sure you receive details of all suitable consulting projects, as well as invitations to our networking events and training workshops. Do you have experience of providing advanced data analytics expertise, on a Marketing and Sales project? This consulting opportunity is to support our client (a leading consumer electronics company), in providing the Marketing and Sale teams with customer insights and data analytics to inform and fulfill strategic objectives and goals. The project needs a consultant who has: 5-7 years professional experience developing advanced Tableau data visualisations, dashboards and reporting. Programming skills in SQL and Python. Skills in exploratory data analytics, advanced quantitative analysis and data technologies (preferably Snowflake). Knowledge of digital advertising industry, the mobile app economy or related field. Postgraduate degree in quantitative field of study including economics, statistics, applied mathematics, data science, business or a related degree preferable. The key services you'll be providing include: Provide Web analytics support to Marketing stakeholders (e.g. producing ad-hoc custom dashboards and Keynote analyses supporting stakeholders) Ensure operational excellence by maintaining and improving existing insights development and web reporting processes. Quantify the impact of marketing initiatives on customer success and future behavior. Drive business analytics projects through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables. Monitor usage metrics, understanding business-based explanations for large scale trends and patterns in customer lifecycle behavior. Develop data models and analytical tools for ongoing audience segmentation, benchmarking, trending and competitive analysis. Successful consultants will be able to demonstrate the following: 5-7 years professional experience developing advanced Tableau data visualizations, dashboards and reporting. Programming skills in SQL and Python required to develop and maintain custom ETL processes. Skills in exploratory data analysis and familiarity with advanced quantitative analysis. Comfortable with data technologies, data modelling, data warehousing principles (Snowflake preferred) It will also be advantageous if you: Postgraduate degree (MS or PhD) in a quantitative field of study including economics, statistics, applied mathematics, data science, business, or a related discipline Inside IR35

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.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.