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- Tasks: Lead a team to deliver impactful analytics solutions across the Life Sciences division.
- Company: Join a global leader in sciences, driving innovation through data analytics.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and development.
- Why this job: Make a real impact by enhancing analytical maturity and supporting strategic decision-making.
- Qualifications: Strong academic background in IT or related fields; experience in analytics management is essential.
- Other info: This is a maternity cover role for 12-15 months, starting in June.
The predicted salary is between 43200 - 72000 £ per year.
We are working with a Global Sciences Organisation with around 6000 users that is increasingly engaged in the world of analytics, based here in London who is looking for a Head of Business Analytics to start in June for 12-15 months. This position is wide-reaching and will work across the entire Life Sciences division to help build engagement with their analytical tools and to develop the analytical maturity of the division.
The function of the Business Analytics team is to provide stakeholders across the division with accurate, interpretable, and timely analytical solutions from the central analytics platforms (Snowflake, dbt and Tableau), which in combination with high-quality commercial insight will support evidence-based operational and strategic decision making.
Job description:
- Lead and mentor a team of 7 (BI Developers and Analytics Business Partners)
- Be responsible for a portfolio of activities and delivering results supporting key functional teams across the business unit (Finance, Sales, Product Management, Operations & Manufacturing)
- Contribute to delivery of business unit specific projects, working alongside project managers to ensure analytics inputs are timely and requirements and expectations are well defined
- Engage with and support stakeholders to encourage adoption and evolution of existing analytics
- Collaborate with Analytics Centre of Excellence and Group Data Architecture teams to encourage effective system processes to enable the success of analytical data.
- Deliver new analytical solutions as defined by business to drive effective, data-driven decision making, from requirements gathering to report design.
What are they Looking For:
- Strong academic background, ideally with a Computer Science or IT degree/qualification, similar Analytical discipline, or equivalent experience
- Demonstrate a good balance between technical expertise and commercial business awareness, with experience in end-to-end project delivery
- Experience in a fast-paced, dynamic, technology or Sciences Company
- Extensive analytics function/management experience
- Ability to demonstrate knowledge and understanding of Tableau, with strong SQL experience (experience with dbt and Snowflake ideal but not preferable)
- Confidence when collaborating with stakeholders to deliver analytical solutions is essential
- Comprehensive knowledge of the principles, practices, and techniques used in end-to-end analytical solution design and development
- Passion for handling, analysing, and transforming large, complex data sets into workable information sets
Analytics Manager employer: The Future Project Ltd
Contact Detail:
The Future Project Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨Tip Number 1
Familiarise yourself with the specific analytical tools mentioned in the job description, such as Tableau, Snowflake, and dbt. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with professionals in the Life Sciences sector, especially those who work in analytics. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience in leading teams and delivering analytical solutions. Think of specific examples where you've successfully managed projects or mentored others, as this will demonstrate your leadership capabilities.
✨Tip Number 4
Showcase your ability to communicate complex data insights to non-technical stakeholders. Practising how to explain your past projects in simple terms can help you stand out, as effective communication is key in this role.
We think you need these skills to ace Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics, project delivery, and team management. Emphasise your technical skills, especially in SQL and Tableau, and any experience with Snowflake or dbt.
Craft a Compelling Cover Letter: In your cover letter, express your passion for analytics and your ability to lead teams. Mention specific examples of how you've successfully delivered analytical solutions in previous roles, particularly in fast-paced environments.
Showcase Your Stakeholder Engagement Skills: Demonstrate your experience in collaborating with stakeholders by providing examples of how you've encouraged the adoption of analytical tools and solutions in past positions. This will show your ability to drive engagement within the organisation.
Highlight Your Academic Background: If you have a degree in Computer Science, IT, or a related field, make sure to mention it prominently. Discuss any relevant coursework or projects that align with the requirements of the role, showcasing your strong academic foundation.
How to prepare for a job interview at The Future Project Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with analytical tools like Tableau, SQL, and any familiarity with Snowflake or dbt. Be prepared to discuss specific projects where you successfully used these tools to deliver insights.
✨Demonstrate Leadership Experience
Since the role involves leading a team, share examples of how you've mentored or managed others in previous positions. Discuss your approach to fostering collaboration and driving results within a team.
✨Understand the Business Context
Research the company and its operations within the Life Sciences sector. Be ready to discuss how your analytical solutions can support various functional teams like Finance, Sales, and Operations, showing that you understand their unique challenges.
✨Prepare for Stakeholder Engagement
Expect questions about how you would engage with stakeholders to encourage the adoption of analytics. Think of examples where you've successfully collaborated with different departments to meet their analytical needs.
