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

Apply Now

Senior Data Analyst

myGwork
UK
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Up to £85,000 | 10% Bonus | London | Hybrid

This job is with Bayer UK & Ireland, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ business community. Please do not contact the recruiter directly. At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. [[extTitle]] YOUR TASKS AND RESPONSIBILITIES The Sr Data Analyst responsible for overseeing our data systems and reporting frameworks, guaranteeing the integrity and precision of data. This role will analyze security data, identifying trends and patterns, and providing actionable insights in the form of reports to enhance our site operations. The primary responsibilities of this role, Senior Data Analyst, are to: Partners with the business to identify the appropriate data sources and analysis methodology; Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks; Identify trends and opportunities for growth through analysis of complex datasets; Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets; Create best-practice reports based on data mining, analysis, and visualization; Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data; Work directly with managers and users to gather requirements, provide status updates, and build relationships; Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers; Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity; Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources; Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution; Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets; Position entails driving a company vehicle (pooled or assigned to the individual). This may include being required to drive greater than 8,500 business miles annually in a company supplied vehicle OR being expected to frequently drive a pooled car as part of your job duties – regardless of mileage. WHO YOU ARE Bayer seeks an incumbent who possesses the following: Required qualifications: Bachelors degree with 7 years of experience or Masters degree with 5 years experience; Educational preparation or applied experience in at least one of the following areas: Information Technology, Business Analysis, Industrial Engineering, Operation Research, Statistics, Biostatistics, Bioinformatics, Genomics, Computational Biology, Applied Mathematics, Computer Science or other related quantitative discipline.; Demonstrated ability to influence across multiple functions and instills trust with business partners; Project management and stakeholder influencing capability; Focused on self-development, perform highly complex analysis and provide recommendations that impact business results; Results driven, understands complex business processes and systems relations/dependencies; Proven ability to develop, monitor and deliver on critical timelines; Demonstrates intermediate proficiency in computational skills and level of experience building data models using SQL, Python, R or other statistical and/or mathematical programming packages; Proficiency in off the shelf analysis software such as Power Bi, Tibco SpotFire, MS Excel, Tableau or similar; Intermediate proficiency in machine learning algorithms and concepts; Experience in successful delivery of valuable analysis through application of domain knowledge; evidence of ability to strong business acumen; Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to extended team and small groups of key stakeholders; Valid Drivers License. In order to be eligible to drive a company car, your driving record must meet guidelines based on the company’s Risk Screening for Hiring Drivers – MVR will be reviewed as part of pre-employment screening; Must have availability to meet overtime demands, including occasional work on weekends and holidays. Preferred Qualifications: Expertise of Bayer’s business processes and systems; Domestic relocation may be provided for this role, Remote work is not available. Sponsorship may be provided for this role. Employees can expect to be paid a salary between $123,588.94 and $185,383.42. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant's location, market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least. LI-AMSUS YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Bayer is an E-Verify Employer. Location: [[mfield3]] Division: [[filter1]] Reference Code: [[id]] Contact Us Email: hrop_usabayer.com

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.