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Yolk Recruitment are working with a large, established organisation delivering critical services across the UK. They're known for their commitment to reliability, continuous improvement, and making well-informed decisions that have a real-world impact. This is an opportunity to join a collaborative IT Service team where data is genuinely valued and used to improve how services are delivered across the business.

This role would suit a detail-driven, analytical professional who enjoys working with complex service data, influencing decisions, and improving processes across IT service management.

This is what you'll be doing

You will play a key role in supporting IT service delivery by analysing and interpreting data across ITIL processes. Working closely with service managers, partners, and vendors, you will help ensure services are tracked effectively and continually improved. Your responsibilities will include:

• Proven experience in data analysis, ideally focused on IT service or operational data.
• Strong knowledge of IT service management processes including incident, problem, change, service request, capacity, and availability management.
• Advanced skills in tools such as Excel, Power BI, or similar analytics platforms.
• Experience designing KPIs and performance metrics to measure service delivery and vendor performance.
• The ability to present complex data clearly to both technical and non-technical audiences.
• A continuous improvement mindset, with the confidence to challenge processes and suggest better ways of working.
• Strong communication and the ability to work effectively with stakeholders at all levels.

• Hybrid working (50% in office / 50% working from home)
• Flexible working opportunities
• 25 days annual leave plus bank holidays
• Retirement Savings Plan (pension) with Aviva: 5% employee contribution, doubling your contribution at 10% - totalling 15%
• 14 x salary Life Insurance linked to membership of the Retirement Savings Plan
• “Choices” flexible benefit scheme options including corporate gym memberships, dental insurance, and health cash-plans
• Access to our Financial Wellbeing Programme - allowing you to manage your benefits flexibly to suit your financial needs
• Enhanced pay for parental leave
• Retail discounts and cashback scheme
• Discretionary annual bonus up to 10%

Interested?

If this sounds like a role you’d enjoy and you feel you can make a real impact, please get in touch. We also offer a referral scheme for any candidates who are successfully placed.

For more information, contact Dan Newton at Yolk Recruitment.

Our client, a pioneering force in the data analytics sector, is thrilled to offer an exciting remote Graduate Scheme opportunity for aspiring Junior Data Analysts. This program is meticulously designed to equip recent graduates with the essential skills and practical experience needed to thrive in a data-driven world. You will embark on a comprehensive 12-month journey, receiving world-class training in data interpretation, visualization, and statistical analysis, all within a supportive and collaborative remote environment. Our client is committed to nurturing talent and providing a clear pathway for career progression. This role is perfect for individuals with a keen analytical mind, a passion for uncovering insights from data, and a desire to learn from industry experts.

Scheme Highlights:

• Intensive training in data analysis tools and techniques, including SQL, Python/R, and data visualization platforms (e.g., Tableau, Power BI).
• Hands-on experience working on real-world data projects, contributing to business-critical decisions.
• Mentorship from experienced data scientists and analysts.
• Development of crucial soft skills, including communication, presentation, and problem-solving.
• Exposure to various business functions and understanding how data drives strategy.
• Opportunities to network with industry professionals and build a strong professional foundation.
• A fully remote working setup, providing flexibility and autonomy.
• Potential for a permanent role upon successful completion of the scheme.

Who We’re Looking For:

• Recent graduates with a Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, or a related discipline.
• A strong academic record demonstrating analytical and problem-solving abilities.
• Familiarity with basic statistical concepts and programming is advantageous, but not essential as full training will be provided.
• An inquisitive mind with a genuine curiosity for data and its potential.
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Self-motivated, organized, and able to manage workload effectively in a remote setting.
• A proactive approach to learning and a willingness to embrace new challenges.
• Must be eligible to work in the UK.

This exceptional graduate scheme offers a unique chance to launch your career in data analytics from anywhere in the UK, with a focus on professional development and real-world impact. The initial placement will be remote, with potential opportunities to engage with the team located in Cardiff, Wales, UK, as needed for specific team events or training sessions.

Our client, a leader in sports analytics and performance, is seeking a highly analytical and passionate Senior Sports Data Analyst to join their remote team. This role is perfect for an individual with a deep understanding of sports, combined with advanced data analysis skills, who wants to drive performance improvements for athletes and teams. The ideal candidate has a strong quantitative background, experience with various data analysis tools and techniques, and a proven ability to communicate findings effectively to coaches, athletes, and management.

Key Responsibilities:

• Collect, process, and analyze large datasets from various sports performance sources (e.g., GPS tracking, video analysis, physiological data, game statistics).
• Develop and implement statistical models and machine learning algorithms to identify key performance indicators and trends.
• Translate complex data findings into clear, concise, and actionable insights for coaches, athletes, and sports management.
• Create compelling visualizations and reports to communicate analytical outcomes effectively.
• Collaborate with coaching staff to understand their needs and provide data-driven support for training, strategy, and player development.
• Identify new opportunities for data collection and analysis to enhance performance insights.
• Stay abreast of the latest developments in sports science, performance analysis, and data analytics techniques.
• Ensure data integrity and accuracy throughout the analysis process.
• Work independently to manage analytical projects and meet deadlines.
• Contribute to the development of advanced analytical tools and platforms.
• Present findings and recommendations to stakeholders in a clear and persuasive manner.
• Mentor junior analysts and contribute to a culture of data-driven decision-making.

Qualifications:

• Master’s degree or PhD in Statistics, Data Science, Sports Science, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience in sports data analysis or performance analysis.
• Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with database management (SQL) and data warehousing concepts.
• Strong understanding of various statistical techniques, modeling, and machine learning algorithms.
• Familiarity with sports performance metrics and biomechanics is highly desirable.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex data to non-technical audiences.
• Ability to work autonomously and manage multiple projects in a remote environment.
• Passion for sports and a deep understanding of game dynamics across various disciplines.
• Experience with wearable technology data or video analysis software is a plus.

This is a fully remote position, offering flexibility for top talent to contribute to enhancing athletic performance from anywhere.

As a Marketing Data and Reporting Analyst, you will play a critical role in supporting our understanding of customer behaviour trends across our channels, analysing end to end engagement within the customer journey and optimising our performance through data-led insights. You will be proficient in data mining across campaigns, websites, and CRM systems, and you will transform big data into clear, actionable findings and recommendations. Your insights will directly inform marketing leadership decisions, helping to improve campaign effectiveness, enhance customer engagement and continued performance improvement. This role requires both a sharp analytical mindset and the ability to communicate data stories in an engaging, user-friendly way to the marketing team.

What You’ll Do:

• Analyse data from web analytics, CRM, email campaigns, events, and social media to quantify engagement and surface insights across the customer journey.
• Use statistical and analytical tools to interpret large datasets and correlate data sources to deliver actionable recommendations for marketing programme improvements.
• Investigate and understand data sources and address data quality issues with technical teams.
• Conceptualise, design, and deliver dashboards aligned with marketing priorities.
• Collaborate with marketing, sales operations and technical teams to validate data, define and deliver requirements.
• Build and refine Power BI dashboards and reports to track marketing performance, presenting data in clear visuals and summaries aligned with the design principles of the organization’s centralized dashboard suite.
• Ensure key insights and trends are highlighted for senior leaders.

Who You Are:

• Bachelor’s degree in marketing, Data Analytics, Statistics, Business, or related field, or equivalent experience.
• 5+ years experience in marketing analytics, business intelligence, or data analysis, preferably with marketing or customer data.
• Experience in B2B or professional services industry is advantageous.
• Strong analytical skills to interpret complex data, spot trends, and ensure accurate reporting.
• Advanced proficiency in Power BI and other data analysis/visualization tools; experience with database querying or statistical tools is a plus.
• Solid understanding of digital marketing and CRM metrics.
• Excellent written and verbal communication skills for presenting insights to diverse audiences.
• Detail-oriented and methodical in data validation and reporting.
• Proactive problem-solver with a solution-oriented approach to data challenges.
• Collaborative and self-driven, able to manage multiple projects and deadlines.

Preferred Qualifications:

• Experience with GA4, Google Looker Studio, and other marketing analytics platforms.
• Familiarity with marketing automation and CRM systems such as ClickDimensions & Microsoft D365 Sales.
• Background in statistics or data science, including A/B testing, predictive modelling, or programming in SQL, R, or Python.

Benefits:

• Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer.
• We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
• As an equal opportunities employer, we encourage suitably qualified applicants from a wide range of backgrounds to apply and join us and are fully committed to equal treatment, free from discrimination, of all candidates throughout our recruitment process.

Control Risks is committed to a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

If you require any reasonable adjustments to be made in order to participate fully in the interview process, please let us know and we will be happy to accommodate your needs.