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- Tasks: Lead the development of data strategy and foster a data-driven culture.
- Company: Join a vibrant Arts organisation in London focused on innovation and insights.
- Benefits: Enjoy a collaborative environment with opportunities for professional growth and creativity.
- Why this job: Make a real impact by driving strategic decisions through data insights and innovation.
- Qualifications: Experience as a data scientist or lead, with strong analytical and communication skills.
- Other info: Opportunity to work with AI and modern statistical methods in a creative setting.
The predicted salary is between 48000 - 72000 £ per year.
An Arts organisation in London are seeking a Data and Analytics Lead to join their technology function and revitalise their approach to data. Reporting to the Head of IT, this role would lead the development of our organisational data strategy. Partnering closely with a number of teams and their data leads, you will foster a data culture grounded in insights and actions. You will leverage data science techniques to define, address, communicate and improve forecasting of key measures to inform and drive strategic decisions. What you will bring to the role: Your knowledge of statistics, BI infrastructure and analytical methods combined with strong management and communication skills will influence how we create, evolve and embed a data strategy across the organisation You will lead in democratising access to data, embedding and expanding modelling capabilities across the organisation including AI planning, forecasting and analysis where appropriate You will help solve organisational challenges by weaving together data threads that highlight invaluable insights to drive innovation You will proactively identify opportunities to embed data powered initiatives that deliver tangible value, improving productivity and improving data insights by building strong internal relationships, fostering a collaborative spirit Key Skills that would help you in this role: Have experience as a data scientist or data lead and be highly analytical with a strong grasp of modern statistical methods, tools and platforms Identify the data inputs and outputs are from each software solution to inform the next generation / direction of software upgrades across the organisation, including where appropriate AI integrated solutions Have end to end problem solving and communication skills, including diagnosis, data cleaning, integration and transformation, analysis, visualisation and presentation. Have experience in the translation of analysis results into data driven insights Highly motivated, independent thinker, able to exercise sound judgement in the interests of the organisation and to get things done
Data and Analytics Lead employer: Morgan Law
Contact Detail:
Morgan Law Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and Analytics Lead
✨Tip Number 1
Network with professionals in the arts and data analytics sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about their experiences. This can give you insights into the organisational culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest trends in data science and analytics, particularly within the arts sector. Understanding how data is currently being used to drive decisions in similar organisations can help you articulate your vision for a data strategy during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully implemented data-driven initiatives in previous roles. Highlight your ability to foster collaboration and build relationships, as these skills are crucial for the role.
✨Tip Number 4
Research the organisation's current data practices and identify areas for improvement. Being able to present thoughtful suggestions on how to enhance their data strategy will demonstrate your proactive approach and genuine interest in the role.
We think you need these skills to ace Data and Analytics Lead
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data and Analytics Lead position. Familiarise yourself with the key skills mentioned in the job description, such as data science techniques and statistical methods.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your background in data science, BI infrastructure, and any leadership roles you've held that demonstrate your ability to manage teams and projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Use specific examples from your past experiences to illustrate how you have successfully implemented data strategies or fostered a data-driven culture in previous roles.
Highlight Collaborative Skills: Since the role involves partnering with various teams, make sure to mention your experience in collaboration and communication. Provide examples of how you've worked with different departments to achieve common goals, especially in data-related projects.
How to prepare for a job interview at Morgan Law
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with statistical methods and data analysis tools. Highlight specific projects where you've successfully used these skills to drive insights and inform decisions.
✨Demonstrate Your Leadership Abilities
Since this role involves leading the development of a data strategy, share examples of how you've previously led teams or initiatives. Emphasise your ability to foster collaboration and build strong internal relationships.
✨Prepare for Technical Questions
Expect questions about BI infrastructure and analytical methods. Brush up on your knowledge of modern statistical tools and be ready to explain how you've applied them in real-world scenarios.
✨Communicate Clearly and Effectively
Your communication skills are crucial for this role. Practice explaining complex data concepts in simple terms, as you'll need to translate analysis results into actionable insights for various stakeholders.
