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

View Open Roles

Sales Data Analyst

Neil Lewis Recruitment
Swansea
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst Apprentice

Data Analyst

Senior Data Analyst – Fraud Analytics

Commercial Data Analyst

Senior Data Analyst - Space & Range

Data Analyst, Swansea (hybrid)Salary: up to £60,000pa DOEWorking for this global services organisation, you will report directly to the Sales Director and be part of a team responsible for optimising the company’s sales processes. You will leverage advanced data analysis techniques to uncover actionable and measurable insights.The successful person will contribute to strategic initiatives to drive revenue growth across EMEA.As a meticulous Data Analyst, the role requires a deep understanding of sales operations, advanced proficiency in CRM systems (Salesforce) and Microsoft Excel, along with exceptional communication and problem-solving skills.Main duties include as Data Analyst: * Generate and analyse sales reports, dashboards, and other vital metrics to provide insights into sales performance, trends, and opportunities across the organisation * Conduct thorough analyses of sales data to identify patterns, trends, and areas for improvement. Present findings with actionable recommendations to the Sales Director and Leadership team. * Develop and maintain standardised reporting templates and processes to streamline data collection and reporting across the region * Collaborate with cross-functional regions to integrate sales data with other key performance indicators and metrics, providing comprehensive insights into business performance. * Assist the Sales and Regional Directors, in setting sales targets, commission structures and developing sales forecasts by analysing historical data, market trends and pipeline metrics specific to regions. * Utilise forecasting techniques to predict future sales performance and revenue projections that will contribute to strategic decision-making and resource allocation. * Monitor and track sales pipeline activity, identifying potential risks and opportunities to make proactive recommendations so sales targets can be achieved. * Develop and maintain robust forecasting models and methodologies, incorporating feedback from Regional Directors and market intelligence to enhance accuracy and reliability.Experience required as Data Analyst: * 5+ years’ experience in a sales operation, sales/business analysis or similar role. * Proven ability providing data analysis, involving accurate data reporting, forecasting, pipeline management and the creation of visual analysis to include Dashboards * Advanced expertise in Microsoft Excel, including use of advanced functions, pivot tables and data visualisation * Experience using data visualization tools (Tableau, Power BI) preferred * Highly competent using data analysis and business intelligence tools.For further information please email or call Neil on (phone number removed).(NLR is acting as an Employment Agency on behalf of its Client)

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.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

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.