Data Analyst - Revenue/Sales

Think Specialist Recruitment

London, United Kingdom

Last month

Applications closed

Related Jobs

View all jobs

Data Analyst

Lynx Recruitment London, United Kingdom

£40,000 – £65,000 pa On-site

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

Lead Data Engineer

Canada Life London, United Kingdom

£70,000 – £100,000 pa Hybrid

Digital & AI Training Lead

National Skills Agency London, United Kingdom

£50,000 – £60,000 pa Remote

Posted: 14 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

We are working with a powerhouse in the logistics and e-commerce world (with their London based HQ) and have a very exciting opportunity for someone to join them as a Data Analyst for the next 3+ months, with a great potential of something permanent being available for the right person.

In this role you would be working very closely with the commercial team, focused on supporting the team with data analysis, reporting and performance insights, in particular looking at success factors, lead times, sales volumes etc.

Your main focus will be around building and maintaining dashboards, analysis of sales performance and helping teams use data more effectively.

Additionally, you'll be working across the wider commercial teams and providing Salesforce support, so it's a necessity that you have great communication skills as well as Salesforce (or similar CRM) knowledge.

This is a project to help cleanse data and catch up, really we need someone that has some form of Data Analytics experience (2+ years) and in particular within a sales or revenue capacity.

You'd be working a standard 9-5 day, Monday to Friday, and to start can work a 4 in/1 out hybrid split, and then after settling work 3/2.

The offices you'd be working in are based in-between Marylebone and Fitzrovia, less than a 10 minute walk to Oxford Circus Station.

As this is temporary, you'd be completing weekly timesheets and paid each Friday, working at an hourly rate of £18 per hour.

What you'll be involved in:

CRM & Data Support

Work with the CRM Lead to ensure reporting aligns with Salesforce processes and data structures.

Help maintain data quality and support improvements to CRM reporting.

Assist in translating commercial reporting needs into system requirements.

Support the Commercial team with Salesforce queries, creating training materials for FAQs.Data & Reporting

Build and maintain dashboards and reports in Salesforce.

Produce regular sales performance reports including pipeline, conversion and revenue metrics.

Support the creation of reporting packs for monthly reviews and commercial meetings.Sales Performance Insights

Analyse sales data to identify trends, opportunities and performance gaps.

Support sales managers with insights on pipeline health, forecasting and productivity.

Maintain KPI trackers and sales scorecards.What we're looking for

Any form of early career exposure and experience within revenue operations would be ideal.

Familiarity with and confidence using Salesforce or similar.

Ability to interpret data and present insights clearly.

Curious, detail-oriented and comfortable working in a fast-paced environment.

Looking for the next step in your career? Think Specialist Recruitment.

Think Specialist Recruitment is an independent support staff recruitment agency based in Hemel Hempstead and working across the Herts, Beds and Bucks area. We specialise in permanent, temporary and contract recruitment with areas of expertise including: administration, customer service/call centre, PA/secretarial, human resources, accountancy and finance, sales admin/sales support, marketing and IT Helpdesk/IT support

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

Industry Insights

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

Apr 9, 2026

Products

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.

Mar 24, 2026

Jobs

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.

Feb 11, 2026

Careers

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.