At a Glance
- Tasks: Deliver workforce analytics and modelling projects using large datasets.
- Company: Harnham, a leader in data analytics with a flexible hybrid work culture.
- Benefits: Competitive salary of £40,000–£46,000 and remote work options.
- Other info: Enjoy occasional office presence in Leeds and excellent career growth opportunities.
- Why this job: Make an impact by translating policy questions into data-driven insights.
- Qualifications: Strong Excel skills and experience with Python/R/Power BI required.
The predicted salary is between 40000 - 46000 £ per year.
Harnham is seeking a Data Analyst to deliver workforce analytics and modelling projects.
The role is remote with occasional Leeds office presence (1 day per month).
A competitive salary of £40,000–£46,000 is offered.
You will develop analytical models, forecast scenarios, and translate policy questions into data-driven insights, working with large datasets and multiple stakeholders.
Strong Excel, analytical skills, and experience with Python/R/Power BI are required.
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Workforce Analytics Data Analyst – Flexible Hybrid in Leeds employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Workforce Analytics Data Analyst – Flexible Hybrid in Leeds
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We think you need these skills to ace Workforce Analytics Data Analyst – Flexible Hybrid in Leeds
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!
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