Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Commercial Data Analyst

Sheffield
4 weeks ago
Create job alert

Our client is a UK-based, family owned specialist founded in 2006, the company delivers audio visual services and software across hundreds of venues nationwide. With around 100–140 employees, it operates under two brands and supports more than 300,000 events annually. It’s consistently recognised for its people centric culture, offering flexible work arrangements, regular team socials, training budgets, and strong employee satisfaction scores (90%+ recommending it as a place to work)

Job Requirements

• 1+ year working with Snowflake data warehouse and ETL features across multiple data sources.
• Proven experience in commercial data analysis, preferably within a technology or customer-focused industry. 3+ years of post-education data analyst work experience.
• Strong analytical skills with experience in utilising large datasets to identify trends, insights, and actionable opportunities.
• Proficiency with data analysis and visualisation tools, as well as a solid understanding of ETL processes and data engineering principles.
• Ability to communicate complex data insights in a clear, engaging manner, effectively “telling a story” with data.
• Well-organised, meticulous, and adaptable, with a proactive, inquisitive approach to problem-solving.
• Empathy and understanding of customer needs and behaviours, with the capability to align analysis and reporting to drive customer-centred improvements.
• Confident and capable of training others in basic reporting techniques, fostering a culture of data-driven self-service within the team.
• Persuasive in presenting data-driven insights and recommendations, effectively influencing stakeholders to take informed actions aligned with strategic goals.
• Fanatical about data integrity, but pragmatic about what’s been available historically, and capable of plugging gaps.
• 3 days working in the office / hybrid

Role Responsibilities

• Conduct in-depth analysis of customer behaviour and usage patterns across multiple data sources, including customer analytics, purchasing behaviour and software subscriptions.
• Analyse device and site telemetry, technical support cases, asset data, and service metrics to identify problems, make predictions and recommendations based on trends and patterns, either for revenue growth, customer satisfaction, or pro-active issue resolution.
• Identify insights and trends to highlight opportunities for growth, process optimisation, and customer experience enhancement.
• Collaborate with Technology teams to address data gaps through ETL processes or data engineering solutions.
• Proactively seek data-driven opportunities to shape strategic recommendations and contribute to future business planning.
• Provide actionable insights and support to the Technical Solutions Lead and Technology Director, enabling them to make data-informed decisions.
• Produce regular reports, insights, and competitor analysis to support decision-making and strategic initiatives.
• Facilitate knowledge sharing by training team members in basic reporting, encouraging a self-service approach to data where applicable.

Benefits including....

• Competitive Salary

• Performance Bonuses

• Hybrid/Remote Work Options

• Flexible Working Hours

• Career Growth Opportunities

• Learning & Development

• Generous Paid Time Off

• Parental Leave

• Tech & Equipment Provided

• Free Tea, Coffee & Fruit

• Company Events & Team Building

Related Jobs

View all jobs

Commercial Data Analyst

Commercial Data Analyst

Commercial Data Analyst

Commercial Data Analyst

Commercial Data Analyst

Commercial 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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.