At a Glance
- Tasks: Lead data analytics projects and drive fact-based decision-making across the organisation.
- Company: Join a dynamic team in Kings Cross, London, focused on innovative data solutions.
- Benefits: Competitive salary of £70K - £85K, plus opportunities for professional growth.
- Other info: Ideal for those passionate about data governance and analytics in a fast-paced environment.
- Why this job: Make a real impact by shaping data strategies and leading a talented team.
- Qualifications: Degree in a related field and 5+ years of relevant experience required.
The predicted salary is between 70000 - 85000 £ per year.
The Data Analytics team provides information that is accurate, consistent, timely and reliable, and ensures the information is easily available to users for direct consumption or integration with other systems.
The DA team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration. Champion enterprise-wide culture of fact-based decisions, data quality and accountability.
Serve as the administrative chair facilitating a business data analytics governance council which shall review and approve information policies, data analytics priorities and resource allocations. Review and recommend approval for information related policies, procedures and standards.
Directs, organizes, and leads DA workstream projects. Works on highly complex, cross-functional, and enterprise solutions. Establishes processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions.
Reviews and approves work plans, timelines, deliverables and resource commitments. Reviews and approves data architecture, data models and specifications. Establishes and publishes performance metrics and plans for DA service demand and service levels.
Prepares and manages annual capital and operating budgets for DA assets, personnel and services. Recruits, hires, develops and motivates the DA team members. Reviews and approves functional requirements and business cases for DA improvements.
Advises executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimization. Aligns DA technologies with CSI strategic initiatives. Approves selection of tools, frameworks and mechanisms for data analytics.
Responsible for strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following DA and DA-related functional areas:
- Data governance
- Data preparation (sourcing, acquisition, integration)
- Data warehousing
- Reporting, analytics, data exploration
- Information delivery (portals, mobile)
- DA competency center or center of excellence (DA COE)
A university degree in computer science, economics, operations, management, or a related field is required. A minimum of five (5) years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated.
Industry/domain skills: Extensive expertise in finance, HR, sales, marketing, product lifecycle management, manufacturing and post-sales service. Medical device or pharmaceutical industry experience is preferred.
Experience in and understanding of a wide variety of analytical processes (governance, measurement, etc.). Experience with agile software development. A solid understanding of key trends including machine learning and artificial intelligence.
General business skills: Analytical mind with a problem-solving aptitude expressed with clear, concise written, verbal and presentation skills. Experience managing global, complex projects and teams. Ability to complete projects and achieve results in an ambiguous work environment. Ability to take initiative and be innovative. Ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results. Ability to build and motivate a team to achieve well communicated expectations. Strong leadership and consensus building abilities across global cultures and all levels of management.
The salary for this role is expected to be in the range £70K - £85K. Location is Kings Cross London.
Data Analytics Senior Manager - Kings Cross London employer: Job Search Place Limited
As a Data Analytics Senior Manager at our Kings Cross London location, you will thrive in a dynamic work culture that champions innovation and data-driven decision-making. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that our employees are equipped to excel in their roles while contributing to impactful projects within a collaborative environment. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Senior Manager - Kings Cross London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data analytics processes and think about how your experience aligns with their needs. This will help you stand out as a candidate who truly gets what they’re about.
✨Tip Number 3
Showcase your skills through real-world examples. Be ready to discuss specific projects you've led or contributed to, especially those that involved complex data solutions. This will demonstrate your capability and give interviewers confidence in your abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Analytics Senior Manager - Kings Cross London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Senior Manager role. Highlight your experience in data governance, analytics, and team leadership. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Achievements:When detailing your experience, focus on specific achievements that demonstrate your analytical skills and leadership abilities. Numbers speak volumes, so include metrics where possible to show your impact!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics processes relevant to the role. Brush up on your knowledge of data governance, preparation, and warehousing. Be ready to discuss how you've used these processes in past roles, especially in complex projects.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate strong leadership abilities. Prepare examples of how you've motivated teams and driven projects to success. Highlight your experience in managing global teams and navigating ambiguous environments.
✨Understand the Business Context
Familiarise yourself with the industry trends, particularly in finance, HR, and the medical device or pharmaceutical sectors. Be prepared to discuss how data analytics can improve business management and optimisation in these areas.
✨Prepare for Technical Questions
Expect questions about analytical tools, frameworks, and technologies. Brush up on your knowledge of machine learning and AI trends. Be ready to explain how you would select and implement these tools to align with strategic initiatives.
