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- Tasks: Lead the development of our organisational 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 fostering innovation.
- Qualifications: Experience as a data scientist or lead, with strong analytical and communication skills required.
- Other info: Opportunity to work with AI and modern statistical methods in a creative sector.
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 previously led data initiatives or projects. Highlight your experience in fostering a data-driven culture and how you've successfully collaborated with different teams to achieve common goals.
✨Tip Number 4
Showcase your communication skills by practising how to explain complex data concepts in simple terms. Being able to convey insights clearly to non-technical stakeholders will be crucial in this role, so consider mock interviews to refine this skill.
We think you need these skills to ace Data and Analytics Lead
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Data and Analytics Lead position. Understand the key responsibilities and required skills, so you can tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience as a data scientist or data lead. Provide specific examples of how you've used statistical methods and analytical tools to drive strategic decisions in previous roles.
Showcase Communication Skills: Since strong communication skills are essential for this role, include examples of how you've effectively communicated complex data insights to non-technical stakeholders. This could be through presentations, reports, or collaborative projects.
Demonstrate Problem-Solving Abilities: Illustrate your end-to-end problem-solving skills by detailing a project where you identified a challenge, cleaned and transformed data, and presented actionable insights. This will show your capability to tackle organisational challenges.
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 applied 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 Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to diagnose issues, clean data, or integrate different data sources, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Strong communication skills are crucial for this role. Practice explaining complex data concepts in simple terms, as you may need to present findings to non-technical stakeholders. Tailor your communication style to your audience.
