Sales Data Analyst

Interaction Recruitment
Cricket Green
Last month
Applications closed

Related Jobs

View all jobs

Data Scientist

Sagacity London, United Kingdom
£40,000 – £60,000 pa On-site

Data Scientist (Machine Learning)

360 Resourcing Thame, United Kingdom
£50,000 pa Hybrid

Data Scientist (Machine Learning)

360 Resourcing Cheltenham, United Kingdom
£50,000 pa Hybrid

Head of Business Intelligence, Veeqo Partnerships & Intelligence

Amazon Swansea, United Kingdom
£80,000 – £120,000 pa On-site

Partner Solutions Architect

Databricks London, United Kingdom

Applied Scientist Gen AI - Amazon Advertising, CreativeX

Amazon London, United Kingdom
£80,000 – £120,000 pa On-site
Posted
25 Mar 2026 (Last month)

Sales Support / Data Analyst – Fixed Term Contract (6–12 months)

Location: Croydon or Fully Remote

Start Date: ASAP

Contract: 6 months (likely to extend to 12 months)

Salary: £30,000 - £35,000

Monday to Friday 09:00 - 17:30

We are seeking a proactive Sales Support / Data Analyst to join a fast-paced, collaborative environment. This role is ideal for someone who is a strong communicator, highly organised, and capable of building effective relationships across the business. You will support the sales team and senior management by delivering accurate reporting, maintaining system integrity, and ensuring customer and pricing data is effectively managed.

Key Responsibilities

Reporting & Analysis

Compile company-wide and ad-hoc reports to support business performance tracking

Deliver monthly Power BI reports and invoice reporting support

Conduct overall data analysis to support strategic and board-level decisions

Auditing & Compliance

Conduct audits for new business opportunities and existing clients

Support compliance and data accuracy across systems

Pricing & Data Management

Maintain customer pricing structures and wholesale price files

Update catalogues and manage customer group contracts

Monitor and manage reward points exposure

Systems Management

Oversee Horizon back-office system, Acsellerate CRM, and EVO-X e-commerce platform

Import stock, manage CTS file uploads, and set up new customer accounts

Provide second-line support for system troubleshooting

Operational & Sales Support

Manage 3rd-party ordering platforms and failed web orders

Support archiving, shredding, and non-core reporting

Assist with tender applications, gap analysis, and management reports

Skills & Experience

Strong analytical and reporting skills with advanced Excel proficiency

Experience with CRM, ERP, or sales management systems (training available)

High attention to detail, strong organisational and problem-solving skills

Ability to manage multiple tasks and deadlines efficiently

Benefits

20 days holiday + 8 bank holidays + additional Christmas closure days

Workplace pension (after qualifying period)

Employee Recognition Scheme

Employee Wellness Package including counselling, 24/7 support line, online GP, family care, and legal helpline

Competitive salary dependent on experience

This is a key role within the business, offering an excellent opportunity to make a tangible impact on operations and support strategic growth.

For more information or to apply:

Contact Shannon Clough at Interaction Leeds

(phone number removed)

✉️ (url removed)

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.