At a Glance
- Tasks: Lead a team of analysts to deliver high-quality operational analytics solutions.
- Company: Join a leading player in the pharma industry, driving innovation and efficiency.
- Benefits: Earn £650 a day outside of IR35 with flexible remote work options.
- Why this job: Make an impact in a dynamic environment while developing your leadership skills.
- Qualifications: Strong business analysis and ERP analytics experience required; familiarity with BI tools is a plus.
- Other info: Initial 12-month contract with a hybrid work model; ideal for those passionate about data.
The predicted salary is between 130000 - 156000 £ per year.
Job Description
Operational Analytics Lead – Contract – £650 a day outside of IR35
This role will require you to lead a team of Business Area Leads (senior business analysts), providing them with oversight, helping them to prioritise, and creating the best practices and guidelines that will make sure they deliver great quality work at pace. You will be responsible for designing new operating models for Operations analytics (network and supplychain, manufacturing, distribution, quality etc).
Essential Skills
- Strong business analysis experience and knowledge of ERP analytics in pharma operations. Experience of design, build 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 to learn and grow.
- 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.
- Certifications such as SAP, Project Management, Business Intelligence, Data Management, Lean Framework.
- Experience in large scale, complex & multi-year projects.
- Workshop Management.
This contract offers £650 a day outside of IR35 for an initial 12 months and requires 3 days a week in the Luton office with the rest remote.
Operational Analytics Lead - Contract - £650 a day outside of IR35 employer: Ventula Consulting
Contact Detail:
Ventula Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operational Analytics Lead - Contract - £650 a day outside of IR35
✨Tip Number 1
Familiarise yourself with the latest trends in operational analytics, especially within the pharma sector. Understanding how analytics can drive efficiency in supply chain and manufacturing will give you an edge during discussions.
✨Tip Number 2
Network with professionals who have experience in SAP Analytics Cloud and other BI tools mentioned in the job description. Engaging with them can provide insights into best practices and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing teams across different geographies. Highlighting your ability to convey complex information simply will resonate well with the interviewers.
✨Tip Number 4
Brush up on your knowledge of regulatory frameworks like GxP and SOx, as well as data science concepts. Being able to speak confidently about these areas will demonstrate your comprehensive understanding of the role.
We think you need these skills to ace Operational Analytics Lead - Contract - £650 a day outside of IR35
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong business analysis experience and knowledge of ERP analytics, particularly in pharma operations. Emphasise any relevant experience with SAP and BI tools like SAP Analytics Cloud, Qlik, and PowerBI.
Craft a Compelling Cover Letter: In your cover letter, showcase your leadership skills and ability to manage teams across geographies. Mention specific examples of how you've designed operating models or led analytics projects in the past.
Highlight Relevant Skills: Clearly outline your experience with large data sets and your familiarity with standard operations processes. If you have certifications in SAP, Project Management, or Business Intelligence, make sure to include these as they are desirable for the role.
Showcase Your Learning Drive: Demonstrate your strong drive to learn and grow by mentioning any recent training or projects that reflect your commitment to professional development, especially in areas related to analytics and operations.
How to prepare for a job interview at Ventula Consulting
✨Showcase Your Leadership Skills
As an Operational Analytics Lead, you'll be managing a team of senior business analysts. Be prepared to discuss your previous leadership experiences, how you prioritise tasks, and the best practices you've implemented to ensure high-quality work.
✨Demonstrate Your Technical Expertise
Familiarity with ERP analytics in pharma operations is crucial. Make sure to highlight your experience with SAP and other BI tools like Qlik and PowerBI. Be ready to discuss specific projects where you've designed, built, or tested analytics solutions.
✨Communicate Complex Information Clearly
You'll need to convey complex analytics insights to various stakeholders. Prepare examples of how you've simplified intricate data for different audiences, from top management to operational teams, ensuring everyone understands the key takeaways.
✨Emphasise Your Adaptability and Learning Drive
The role requires leading across geographies and cultures, so showcasing your adaptability is key. Share instances where you've successfully navigated diverse environments and your eagerness to learn new concepts, especially in data science and analytics.