National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst

Halliday Marx
Greater London
3 months ago
Create job alert

Get AI-powered advice on this job and more exclusive features.

This range is provided by Halliday Marx. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Data Operations Analyst

Hybrid (3 days + in)

London

Interim (6 months +)

Halliday Marx have exclusively partnered with a Financial Services data driven M&A advisor to hire a new Interim Dashboard building specialist.

Job Requirements:

  1. Work closely with Commercial Ops Director, Chief Revenue Officer, CEO, Chief Content Officer, Marketing to monitor and report on business strategies, revenue growth, and KPIs to establish strategic operational priorities.
  2. Collaborate to provide in-depth business analytics to inform planning and other strategic decisions.
  3. Create and maintain customised, intricate dashboards and automated reporting tools related to sales, customer success, marketing and product usage performance metrics.
  4. Support business reporting.
  5. Develop processes, workflows, and incentive programs.
  6. Provide ongoing training and guidance to use of the Tech stack including Sales Force, HubSpot.
  7. Ability to work collaboratively and independently.

You Need to Have:

  1. Good experience of working in B2B subscriptions business or SaaS environment.
  2. Advanced Excel.
  3. Financial and revenue modelling.
  4. Excellent analytical and problem solving skills.
  5. Results oriented, attention to detail, ability to prioritise multiple objectives and projects.

Seniority level

Mid-Senior level

Employment type

Temporary

Job function

Accounting/Auditing and Analyst

Industries

Financial Services, Data Infrastructure and Analytics, and Research Services


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.