Customer Data Analyst

Talent Hub
Brighton
4 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (Customer Insights)

Customer Growth Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst (Customer Insights)

Senior Data Analyst - Microsoft Dynamics - Customer Data

Salary up to £50,000

Brighton and Hove, Sussex


Are you a champion of Customer Data? We are looking for an experienced data analyst to join a thriving consumer focused organisation based in Brighton. You will play a key part of their data strategy at an exciting time for the company.


They are looking for a friendly individual who loves to champion data and has a natural curiosity to look beyond an initial question to find actionable insights. This role would suit someone experienced in being able to tell a story with data and make clear actionable recommendations based on evidence.


You will be experienced with Microsoft Data Platform technologies, including Dynamics365 CRM and PowerBI. As well as own proficiency in data visualization tools, such as Power BI or similar such as Looker Studio, Tableau.


Key responsibilities for this Senior Data Analyst job include:


  • Lead the reporting, insight and analytics for the organisation, focusing on customer data and story telling, providing pro-active reporting and actionable insights. With a strong emphasis on customer acquisition and engagement and optimising lifetime member value.
  • Regular monitoring and reporting on key customer data metrics.
  • Support and provide guidance on the development of campaign and overall performance reporting, actionable insight and data-driven models for use across the customer lifecycle (e.g. engagement, attrition, life-time value, segmentation and recommendations/next best action modelling).
  • Produce data visualizations to help support and communicate important learning.
  • Where possible, incorporate qualitative findings into quantitative reporting.


What you will need for this Senior Data Analyst job:


  • A background in Customer Data Analytics having worked for a membership or Customer Services, Business Services background.
  • Strong oral and written communication skills, with experience presenting data interpretation and insights to non-technical audiences.
  • Experience in using data storytelling techniques.
  • Knowledge of other data platforms such Microsoft Customer Insights, Microsoft Customer Data, Microsoft Fabric, social marketing insights, and email marketing analytics would be beneficial.
  • Experience in SQL, SAS, Python, or R programming.
  • Knowledge of web analytics tools would be helpful.
  • Some exposure to AI tools such as Co Pilot.
  • Line management or mentoring skills.


Benefits include:

  • 2 days office based
  • 24 days holiday plus bank holidays,
  • healthcare,
  • hybrid working
  • plus lots of other perks!

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

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Jobs Careers

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

🍪 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.