At a Glance
- Tasks: Analyse people data to drive HR and business decisions with insightful reporting.
- Company: Join Howden, a forward-thinking company focused on data-driven solutions.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team in a fast-paced environment.
- Why this job: Make a real impact by shaping HR strategies through data analytics.
- Qualifications: Experience in data analysis, SQL, and familiarity with HR processes.
The predicted salary is between 31500 - 38500 £ per year.
Howden is seeking a People Data Analyst to join the expanding data team. You will work to ensure accurate headcount metrics and deliver insightful analyses that inform HR and business decisions. The role emphasizes reporting, data governance and analytics tooling across the employee lifecycle.
You will partner with HRIS, Finance and IT, leveraging Databricks, SQL and Power BI to build dashboards and automate data workflows, while maintaining data integrity and confidentiality in a fast-paced environment.
People Analytics Specialist - Hybrid & Data-Driven in London employer: London Insurance Life
London Insurance Life is an exceptional employer that prioritises employee development and well-being, offering comprehensive training and the opportunity to earn industry-recognised qualifications. With a supportive work culture in Taunton, employees enjoy a range of benefits including generous holiday allowances, life assurance, and pension contributions, making it a rewarding place to launch your career as an Insurance Advisor.
StudySmarter Expert Advice🤫
We think this is how you could land People Analytics Specialist - Hybrid & Data-Driven in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace People Analytics Specialist - Hybrid & Data-Driven in London
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 London Insurance Life, 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 London Insurance Life. 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 London Insurance Life
✨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!
✨Showcase Your Projects
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 London Insurance Life!
✨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.
