At a Glance
- Tasks: Lead our data strategy and ensure high-quality data drives impactful decisions.
- Company: A leading charity in London with a mission-driven focus.
- Benefits: Competitive salary, hybrid work model, and leadership opportunities.
- Other info: Manage a dynamic team and influence strategic decisions in a collaborative environment.
- Why this job: Shape the future of data and analytics to improve lives and outcomes.
- Qualifications: Senior data leadership experience and strong stakeholder management skills.
The predicted salary is between 70000 - 78000 £ per year.
Salary: £70,000 - 78,000 per year
Requirements
- Significant experience in a senior data leadership role, accountable for enterprise data strategy, governance, and analytics delivery
- Proven ability to operate at executive level, influencing strategic decisions through data and insight
- Experience establishing enterprise data governance frameworks, including data ownership, stewardship, and data quality management
- Strong understanding of modern data architectures, platforms, and integration approaches
- Experience defining and delivering scalable data operating models, including self-service analytics and data literacy enablement
- Experience leading adoption of advanced analytics, automation, and AI capabilities, including appropriate governance and controls
- Strong commercial and value-driven mindset, including portfolio prioritisation, ROI, and benefits realisation
- Experience working with clinical, healthcare, or regulated data environments, including NHS reporting and information governance, is advantageous
- Strong stakeholder leadership, with the ability to manage competing priorities and influence at senior level
- Experience managing third-party vendors, partners, and technology suppliers
Responsibilities
- Define and deliver our data strategy, ensuring data is managed as a strategic asset to drive clinical, operational, and business value
- Provide executive leadership across data governance, architecture, analytics, automation, and AI
- Ensure we have trusted, high-quality, and accessible data to support decision-making, regulatory compliance, and innovation
- Establish enterprise-wide data governance
- Own our target data architecture
- Maximise the value of data and advanced analytics capabilities to improve organisational effectiveness and client outcomes
- Ensure our data, analytics, and automation capabilities are scalable, secure, high quality, and aligned to organisational priorities
Technologies
- AI
- Support Fabric
- Power BI
We are a leading charity in London seeking a Head of Data and Analytics on a permanent basis. This is a hybrid role, with two days a week in London, and you will manage a team of 8. You will play a key leadership role in shaping our data strategy and unlocking the value of data, analytics, automation, and AI to support better decision-making and improved outcomes.
Head of Data and Analytics employer: Sivara GmbH
As a leading charity based in London, we pride ourselves on being an exceptional employer that values innovation and collaboration. Our hybrid work culture promotes flexibility while fostering a supportive environment for professional growth, with ample opportunities to lead impactful data initiatives that drive meaningful change in the healthcare sector. Join us to be part of a mission-driven team where your expertise in data and analytics will directly contribute to improving lives and outcomes for those we serve.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data and Analytics
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
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We think you need these skills to ace Head of Data and Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sivara GmbH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sivara GmbH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
