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

Nominate & Attend

Sales Operations & CRM Systems Lead

Milton Keynes
2 weeks ago
Create job alert

Our client has a permanent vacancy for a Sales Operations & CRM System Lead; overseeing and optimising their CRM, providing valuable insights and analysis to help enhance the productivity and efficiency of their sales teams.
You'll own and maintain data integrity and be responsible for mapping our sales processes.
Key Responsibilities:
CRM Management: Oversee and maintain, the development and utilisation of the CRM across
the company. Ensuring data accuracy, correct coding, and usability.
Reporting & Analytics: Managing the development and maintenance of BI reporting. Using
this platform to provide insights to support decision-making.
Forecasting & Budgeting: Managing sales forecasting and budgeting processes.
Training and Support: Provide training and the supporting material to the sales teams on tools
and processes.
Performance Metrics: Using objectives and key results to measure effectiveness of sales
operations initiatives.
Management insights: provide insights on customer behaviour product sales gaps and pricing
anomalies.
Requirements:

  • Degree or HNC/D in Business Administration, information management or related field.
  • Experience in Sales Operations, Sales data analysis or similar.
  • Experience with producing power BI data and reporting dashboards.
  • Proficiency with CRM systems and sales analysis.
  • Strong communication and presentation skills.
  • Basic/ intermediate commercial understanding of business.
  • Ability to work independently and manage time.
    Desirable:
  • Other qualifications to support Information Systems or Data analysis
  • Sugar CRM experience and data management including validation, data matching and quality control
  • Positive attitude to take on different tasks.
  • Show a will to succeed and make things happen.
  • Be a willing part of a Team which has diverse responsibilities within the business
    Due to the large number of responses we receive it is not always possible to respond to every application straight away. Should your skills and experience be a match for this role, or any other vacancy we may have, we will normally contact you within 72 hours of receiving your application. If you wish to apply for further roles please do so

Related Jobs

View all jobs

Sales Operations & CRM System Lead

Marketing Manager

Sales Support Manager

Pre Construction Manager

Senior Data Analyst

Associate Recruiter - Quantitative Technology

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 Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

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

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.