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- Tasks: Lead data product development and reporting across key commercial units.
- Company: Ivee helps people return to meaningful, flexible work after career breaks.
- Benefits: Enjoy hybrid working, competitive salary, and excellent learning opportunities.
- Why this job: Shape a data-driven business while enjoying a supportive and inclusive culture.
- Qualifications: Experience in data management, Agile methodologies, and strong leadership skills required.
- Other info: This role is ideal for those returning to work in the UK.
The predicted salary is between 42000 - 84000 £ per year.
At ivee, we’re on a mission to help every person return to meaningful, flexible work after a career break. Our community provides upskilling, mentoring and access to job opportunities with vetted flexible employers.
A global leader in technology communications is seeking a Data & Analytics Manager to lead the development of data products, insights, and reporting capabilities across key commercial units. This high-impact role offers the opportunity to shape the future of a data-driven business by translating business needs into actionable data strategies and deliverables.
Key Responsibilities:- Lead stakeholder relationships across Product, Marketing, Trading, and Finance to define business requirements and translate them into data product roadmaps.
- Serve as Product Owner in Agile delivery, aligning priorities across business and technical teams.
- Oversee delivery of end-to-end data solutions, from architecture and data modelling to testing and implementation.
- Ensure consistency and quality in delivery across onshore and offshore teams.
- Apply strategic thinking to align D&A squad activities with long-term business outcomes.
- Use tools such as MicroStrategy, Teradata, Qlik, GCP, SQL, and Oracle to manage reporting and analytics environments.
- Experienced in managing stakeholder expectations and communicating data models to non-technical teams.
- Background in business intelligence, data warehousing, and large-scale analytics delivery.
- Proven ability to balance commercial needs with technical feasibility.
- Confident in Agile methodologies and Product Owner responsibilities.
- Skilled in BI platforms, SQL, and data architecture design.
- Strong leadership, people management, and project coordination skills.
- Competitive salary + bonus + Vodafone benefits.
- Hybrid working with “Office in a Box” home setup.
- Inclusive workplace culture recognised by Great Place to Work.
- Excellent learning and career growth opportunities.
- Health and wellness support, including flexibility and reasonable adjustments.
- Access to cutting-edge tools and global projects.
Data & Analytics Manager employer: ivee | The return-to-work platform
Contact Detail:
ivee | The return-to-work platform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Analytics Manager
✨Tip Number 1
Familiarise yourself with Agile methodologies, as this role requires you to serve as a Product Owner. Brush up on your skills in managing stakeholder relationships and translating business needs into actionable data strategies.
✨Tip Number 2
Make sure you have a solid understanding of the tools mentioned in the job description, such as MicroStrategy, Teradata, and SQL. Consider taking online courses or certifications to enhance your proficiency in these platforms.
✨Tip Number 3
Network with professionals in the data analytics field, especially those who have experience in telecommunications. Join relevant LinkedIn groups or attend industry meetups to connect with potential colleagues and mentors.
✨Tip Number 4
Prepare to discuss your previous experiences in balancing commercial needs with technical feasibility. Think of specific examples where you've successfully led projects or teams, as this will demonstrate your leadership and project coordination skills.
We think you need these skills to ace Data & Analytics Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Data & Analytics Manager position. Understand the key responsibilities and required skills, such as experience with BI platforms and Agile methodologies.
Tailor Your CV: Customise your CV to highlight relevant experience in data management, stakeholder communication, and project coordination. Use specific examples that demonstrate your ability to lead data-driven projects and manage teams effectively.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the role. Emphasise your experience in business intelligence and your strategic thinking abilities. Mention how you can contribute to the company's mission of providing flexible work opportunities.
Highlight Relevant Skills: In your application, make sure to showcase your technical skills, particularly in SQL, data architecture design, and familiarity with tools like MicroStrategy and Teradata. This will help demonstrate your fit for the role.
How to prepare for a job interview at ivee | The return-to-work platform
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data & Analytics Manager. Familiarise yourself with key terms like data product roadmaps, Agile methodologies, and stakeholder management to demonstrate your knowledge during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with tools such as MicroStrategy, SQL, and data architecture design. Highlight specific projects where you've successfully implemented these technologies to solve business problems.
✨Communicate Effectively
Since the role involves translating complex data models to non-technical teams, practice explaining your past projects in simple terms. This will show your ability to bridge the gap between technical and non-technical stakeholders.
✨Demonstrate Leadership Qualities
Prepare examples that showcase your leadership and people management skills. Discuss how you've coordinated projects or led teams in the past, especially in an Agile environment, to illustrate your capability to manage diverse teams effectively.
