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For Companies At a Glance
- Tasks: Lead the new Data Division, transforming reactive analysis into proactive data strategies.
- Company: Join a Not-for-Profit organisation dedicated to making a difference through data.
- Benefits: Enjoy flexible working with 3 days in the office and opportunities for professional growth.
- Why this job: Be at the forefront of innovative data solutions that create real value and impact.
- Qualifications: Experience in BI tools like Power BI, SQL, Python, and AI/ML project launches required.
- Other info: This role offers a chance to shape the future of data governance and analytics.
The predicted salary is between 43200 - 72000 £ per year.
Opportunity to join a Not-for-Profit organisation who are creating a new Data Division.
Currently, Data Analysis is reactive. Move towards a proactive data department with the remit to create value from the unique data points this organisation is generating.
Responsible for strategic growth, data governance and line management.
Background with BI / Business Intelligence using tools such as Power BI, Tableau, Qlik.
Experience of launching projects using AI / ML.
Hands-on skills with SQL, Python and from a Proof of Concept basis, Statistical Analysis (forecasting/ Data Science) and generating models for ML.
3 days a week in the office.
Head of Data and Alaytics employer: Career Concept
Contact Detail:
Career Concept Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data and Alaytics
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially as they relate to business intelligence. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the data analytics space, particularly those who have experience in not-for-profit organisations. This can provide you with insights into the unique challenges and opportunities within this sector, which you can leverage in your discussions with us.
✨Tip Number 3
Prepare to showcase your hands-on skills with SQL and Python by discussing specific projects where you've successfully implemented these technologies. Real-world examples will help illustrate your capabilities and how they align with our needs.
✨Tip Number 4
Understand the importance of data governance and be ready to share your thoughts on best practices. This is crucial for the role, and demonstrating your strategic thinking in this area can set you apart from other candidates.
We think you need these skills to ace Head of Data and Alaytics
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Head of Data and Analytics position. Make sure you understand the key responsibilities, such as strategic growth and data governance, as well as the technical skills required like Python, SQL, and experience with BI tools.
Tailor Your CV: Customise your CV to highlight relevant experience in data analytics, machine learning, and business intelligence. Emphasise any hands-on projects you've led or contributed to, especially those involving AI/ML and the tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytics. Discuss how your background aligns with the organisation's goals and how you can contribute to creating a proactive data department. Mention specific examples of past successes in similar roles.
Highlight Leadership Experience: Since the role involves line management, be sure to include any leadership experience you have. Discuss your approach to managing teams and driving strategic initiatives, particularly in the context of data governance and project launches.
How to prepare for a job interview at Career Concept
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with SQL, Python, and any BI tools like Power BI or Tableau. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Strategic Thinking
Since the role involves strategic growth and data governance, come prepared with examples of how you've previously contributed to a proactive data environment. Discuss your vision for how you would lead the new Data Division.
✨Prepare for AI and ML Discussions
Given the emphasis on AI and machine learning, be ready to talk about your experience launching projects in these areas. Bring examples of models you've developed and the impact they had on business outcomes.
✨Understand the Not-for-Profit Sector
Research the organisation's mission and values. Be prepared to explain how your skills can help them create value from their unique data points while aligning with their not-for-profit goals.
