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, career growth opportunities, and a collaborative work environment.
- Other info: Ideal for innovative thinkers passionate about data and analytics.
- Why this job: Make a real impact by leveraging data to optimise business strategies and processes.
- 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 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 your connections in the data analytics field, especially those who might know about opportunities at our company. A friendly chat can sometimes lead to a referral, which is a great way to get your foot in the door.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data governance and analytics processes. We want to see how you can apply your expertise to real-world scenarios, so think of examples from your past experiences that showcase your problem-solving skills.
✨Tip Number 3
Showcase your leadership abilities! When discussing your previous roles, highlight how you've motivated teams and driven projects to success. We love candidates who can inspire others and lead by example.
✨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 us you’re genuinely interested in joining our team at Kings Cross.
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 about your qualifications and experiences.
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’re considered for the role. Don’t miss out!
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 or projects in the past, especially in complex environments. Be ready to discuss your approach to building consensus and driving results across diverse teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in ambiguous situations. Think of specific scenarios where you had to make data-driven decisions or manage conflicting priorities. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Align with Company Values
Research the company’s mission and values, particularly around data quality and accountability. Be prepared to discuss how your personal values align with theirs and how you can contribute to fostering a culture of fact-based decision-making within the organisation.
