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

View Open Roles

The Senior Analytics Design Lead

Luton
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Analytics Data Engineer – Snowflake & DBT (Contract)

Senior Analytics Data Engineer – Snowflake & DBT (Contract)

Senior Data Analyst Fraud Analytics

Senior Data Analyst – Fraud Analytics

Senior Data Engineer

Director of Data Analytics and Engineering

Senior Analytics Design Lead

S/4 Hana - £650 - Luton - Hybrid - Outsied IR35

The Senior Analytics Design Lead will lead a team of Senior business analysts, providing them with oversight, helping them to prioritise, and creating best practices and guidelines to ensure they deliver high-quality work at pace.

The Senior Analytics Design Lead will be responsible for designing new operating models for Operations analytics (network and supply chain, manufacturing, distribution, quality etc).

The Senior Analytics Design Lead leadership will empower your team to work with some senior customers, so that they can make decisions at pace.

Success will be when you see Operations making better decisions, reducing risk, reducing costs and accelerating their processes, because of your team’s work

The Senior Analytics Design Lead  must have: 

Strong business analysis experience and knowledge of ERP analytics in pharma operations. Experience in designing, building and testing of the analytics solution in SAP

Team leadership management (task management) / experience

Experience in working with large and sophisticated data sets in commonly used BI tools like SAP Analytics Cloud, Qlik & PowerBI.

Strong drive

Ability to lead across geographies and cultures.

A strong ability to convey complex information through analytics, catering from Top-Floor to Shop-Floor.

Desirable Skills

Experience in one or more full S/4 HANA implementation cycle/s in Analytics using Embedded Analytics, SAP Analytics Cloud, SAP B/W4 HANA, SAP Datasphere.

Considerable experience and exposure to standard operations processes e.g. network and supply chain, production to dispatch door; integrated clinical supply management;  

Leading multiple teams across geographies.

Regulatory experience, e.g. GxP, SOx.

Familiarity with data science concepts and use cases in Operations.

Bio-Tech, Pharmaceutical or Life Sciences experience.

UX experience.

Experience in large-scale, complex & multi-year projects.

Workshop Management.

Osirian Consulting is committed to working with our clients to promote equality and diversity in the workplace. We encourage and welcome applicants from all backgrounds and all sections of the community, and will never discriminate on the basis of race, gender, disability, or any other protected characteristic.

Please be aware that due to the high number of applications we receive, unfortunately we cannot respond to each application individually. If you do not hear back from one of our consultants within 14 days, then unfortunately you have not been shortlisted for this role.

Osirian Consulting is acting as a recruitment business in relation to this role

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 Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

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

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.