Data & Insights Lead: Drive KPIs & Governance

Data & Insights Lead: Drive KPIs & Governance

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
Claire House Children's Hospice

At a Glance

  • Tasks: Lead a team to manage data quality and develop impactful dashboards.
  • Company: Claire House Children’s Hospice, dedicated to transforming lives through data.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Join a passionate team focused on innovation and collaboration.
  • Why this job: Make a real difference in children's lives by driving data initiatives.
  • Qualifications: Experience in data management and leadership skills required.

The predicted salary is between 60750 - 74250 £ per year.

Claire House Children’s Hospice seeks a collaborative leader to manage the data function within its digital transformation.

You will lead a small D&I team, ensure data quality, develop dashboards and KPIs for senior management, and align data strategy with organisational goals.

You will drive data governance, architecture, and pipelines, overseeing reporting across departments, while maintaining privacy and compliance standards and supporting cross-system data initiatives.

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Data & Insights Lead: Drive KPIs & Governance employer: Claire House Children's Hospice

Claire House Children's Hospice is an exceptional employer dedicated to nurturing the professional growth of its staff while making a profound impact on the lives of children and families. With a supportive work culture that prioritises empathy and collaboration, employees benefit from tailored training programmes, generous leave entitlements, and access to clinical supervision, all within a rewarding environment focused on children's palliative care. Join us in a role where your skills can flourish and you can truly make a difference every day.

Claire House Children's Hospice

Contact Details:

Claire House Children's Hospice Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Insights Lead: Drive KPIs & Governance

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Apply Directly through Our Website

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We think you need these skills to ace Data & Insights Lead: Drive KPIs & Governance

Leadership
Data Management
Data Quality Assurance
Dashboard Development
KPI Development
Data Governance
Data Architecture

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 Claire House Children's Hospice, 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 Claire House Children's Hospice. 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 Claire House Children's Hospice

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

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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.