At a Glance
- Tasks: Lead data analytics projects and drive fact-based decision-making across the organisation.
- Company: Join a dynamic team in a leading company located in Kings Cross, London.
- Benefits: Competitive salary of £70K - £85K, plus opportunities for professional growth.
- Other info: Work in a collaborative environment with global teams and diverse projects.
- Why this job: Make a real impact by shaping data strategies and influencing business outcomes.
- 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. Please send your CV to us in Word format along with your salary and availability.
Data Analytics Senior Manager – Kings Cross London employer: Onyx-Conseil
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. Join us to be part of a collaborative team that values your expertise and fosters an environment 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 your connections in the data analytics field, especially those who might know about openings at companies you're interested in. A friendly chat can sometimes lead to a referral, which is gold when it comes to landing that job.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and industry knowledge. Be ready to discuss how you've used data analytics to drive decisions in past roles. We want to see you shine, so practice articulating your experiences clearly and confidently!
✨Tip Number 3
Showcase your leadership abilities! As a Senior Manager, you'll need to demonstrate how you've successfully led teams and projects. Share specific examples of how you've motivated your team and achieved results, as this will set you apart from other candidates.
✨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, we love seeing candidates who take the initiative to engage directly with us. So, get your CV polished and hit that apply button!
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!
Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you've made a difference in previous roles. This helps us see the impact you can bring to our team.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon and get straight to the point. This will help us understand your qualifications quickly!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important details about the role!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Inside Out
As a Data Analytics Senior Manager, you'll need to demonstrate your expertise in data governance and analytics processes. Brush up on the latest trends in machine learning and AI, and be ready to discuss how these can impact business decisions. Show them you’re not just familiar with the tools but can also articulate their strategic value.
✨Showcase Your Leadership Skills
This role requires strong leadership and team motivation abilities. Prepare examples of how you've successfully led teams through complex projects. Be ready to discuss your approach to building consensus across diverse cultures and levels of management, as this will be key in your new position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving aptitude in ambiguous situations. Think of specific instances where you've had to navigate challenges in data analytics or project management. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly and effectively.
✨Align with Company Goals
Research the company’s strategic initiatives and think about how your experience aligns with their goals. Be prepared to discuss how you can contribute to their vision and improve business management through data analytics. This shows that you’re not just looking for a job, but are genuinely interested in being part of their mission.
