Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Customer Experience Analyst

Northampton
11 months ago
Applications closed

Related Jobs

View all jobs

TikTok Shop - Senior Data Analyst, Governance & Experience, EMEA

Data Analyst

Customer Data Analyst (UK)

Market Data Analyst

Ecommerce Data Analyst

Performance Data Analyst

Customer Experience Analyst

Pay - £15.52 per hour

Hours - 37.5 hours per week, 08:30 - 17:00 Monday to Friday

Homebased, apart from every Wednesday in the Northampton office

Temporary until April 2025, with the possibility of going permanent

Starting ASAP

We are searching for an experience Customer Experience Analyst to support a global business based in Northampton. You will be working in the eCommerce team, supporting the sales team with a new portal for their customers orders. You must have advanced Excel skills. Power BI experience would be advantageous but not essential. This role includes analysing high volumes of data, creating customer accounts and supporting the sales team with using the database by optimising its usage.

The role

Run reports and analyse the data, correcting anomalies. As well as, populating missing data.
Working with a ticketing system and to strict SLAs.
Uploading customers information and setting accounts up with the correct catalogue information and pricing structures.
Ensuring the correct data is loaded into the system for quoting and invoicing.
Support the sales team with how to use the system, walking them through the quoting/order process and where to find information.
Promote the system to the sales team as a tool to help improve customer satisfaction.
You will use templates for various deals to set up accounts and gather data from Excel and Power BI reports.
Update stock reports accurately.
Analyst customer trends to enhance sales.
Train new users on how to use the system.
Drive efficiencies within the system to continuously improve the customer's experience.
Live chat with customers resolving product queries and supply information for account set up.
Upload product display and description.
Monthly reporting to senior management team.
General administration.Experience/ skills required

Data Analyst experience.
Must be an advanced user of Excel (VLOOKUP and Pivot tables essential)
Power BI experience desired but not essential.
Must be confident speaking with customers and stakeholders.
A natural problem solver.
Must have great attention to detail.
eCommerce experience desired but not essential.
Excellent verbal and written skills.
Flexible and adaptable to change.
Creative thinker who is always looking at ways to improve.Benefits

Friendly helpful team.
Very nice executive offices, with parking on site.
Opportunity to go permanent after the temporary period.
Subsidised coffee shop on site.
Weekly pay whilst temping.If you have the relevant skills and experience and are excited about this role, apply immediately and we will be in touch to discuss next steps.

Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.