At a Glance
- Tasks: Lead data analytics projects and drive a culture of data-driven decision making.
- Company: Join a forward-thinking company in Kings Cross, London.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Exciting opportunities for professional development in a collaborative team.
- Why this job: Make an impact by shaping data strategies and leading innovative analytics initiatives.
- Qualifications: 5+ years in data analytics with strong leadership and analytical skills.
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 Data Analytics team trains CSI managers and staff to use the data as an analytical tool for the purpose of understanding and option exploration.
Key Responsibilities
- 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.
- Direct, organise, and lead Data Analytics workstream projects.
- Work on highly complex, cross-functional, and enterprise solutions.
- Establish processes, roles and quality criteria for workstream planning process including inception, technical design, development, testing and delivery of DA solutions.
- Review and approve work plans, timelines, deliverables and resource commitments.
- Review and approve data architecture, data models and specifications.
- Establish and publish performance metrics and plans for DA service demand and service levels.
- Prepare and manage annual capital and operating budgets for DA assets, personnel and services.
- Recruit, hire, develop and motivate the DA team members.
- Review and approve functional requirements and business cases for DA improvements.
- Advise executives on how DA (processes, practices and technologies) play a critical role in improving business management and optimisation.
- Align DA technologies with CSI strategic initiatives.
- Approve 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.
Senior Data Analytics Manager – Kings Cross London employer: Onyx-Conseil
As a Senior Data Analytics 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 Senior Data Analytics Manager – Kings Cross London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data analytics field. Attend meetups, webinars, or industry events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects. Whether it's a case study or a cool visualisation, having something tangible to share can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. Think about how you've tackled complex projects in the past and be ready to discuss your problem-solving approach.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data analytics. It shows initiative and gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Senior Data Analytics Manager – Kings Cross London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analytics Manager. 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 tell us why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any relevant industry experience, especially in finance or pharmaceuticals.
Showcase Your Achievements:When detailing your past roles, 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 through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Onyx-Conseil
✨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 data to drive decisions in previous roles.
✨Showcase Your Leadership Skills
As a Senior Data Analytics Manager, you'll need to lead teams and projects. Prepare examples that highlight your leadership style, how you motivate teams, and how you've successfully managed complex projects in the past.
✨Understand the Business Context
Familiarise yourself with the company’s industry and specific challenges they face. Be prepared to discuss how data analytics can solve these issues and align with their strategic initiatives. This shows you’re not just a data expert but also a business-savvy candidate.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or improve existing processes. Think about your approach to data-driven decision-making and be ready to articulate your thought process clearly and concisely.
