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

Apply Now

Data Analyst - Sales Operations

Victoria, Greater London
6 days ago
Create job alert

Our client is a leading SaaS Organisation, they have an exciting opportunity for an innovative Sales Operations Analyst to join their friendly team for a 12 month contract (potential to extend).
Experience:

  • 5+ years working in a Sales Operations role
  • 2+ years with Salesforce (essential) plus other associated sales productivity tools such as Gong, Outreach, Seismic– experience launching CRM/tools into sales organisations a plus
  • Advanced Excel/Power BI/VBA skills Knowledge of SQL and experience with Databricks/Github preferred BI reporting tools such as Tableau a bonus
  • Comfortable representing sales ops and collaborating on cross-functional projects (finance, marketing, customer success)
    Responsibilities:
  • Strategic problem solving - Uses data to break down complex problems, proactively prioritising the most impactful work, and driving continuous improvement across the organisation
  • Establish clear structures and metrics to keep teams on track. Simplifies, standardizes, and automates processes to drive efficiency and reduce manual effort.
  • Develops data-driven strategies by analyzing business levers and external trends to drive growth and inform decisions.
  • Applies in-depth knowledge of sales operations to develop effective practices and achieve business goals.
    Benefits
  • Hybrid working
  • Award winning work environment
  • Free breakfast

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.