People Data & Systems Lead β€” Analytics, HR Tech (Hybrid)

People Data & Systems Lead β€” Analytics, HR Tech (Hybrid)

Full-Time 50000 - 65000 Β£ / year (est.) Home office (partial)
P

At a Glance

  • Tasks: Lead workforce reporting and analytics, shaping strategic decisions with people data.
  • Company: Renowned cultural organisation in London with a vibrant atmosphere.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and teamwork.
  • Why this job: Make a real impact by driving data quality and system improvements.
  • Qualifications: Experience in data analysis and HR systems management.

The predicted salary is between 50000 - 65000 Β£ per year.

A well known cultural organisation in London is recruiting a permanent People Data & Systems Manager to lead workforce reporting, analytics and HR systems, shaping how people data informs strategic decision making.

You will develop dashboards with Excel and Power BI, provide analysis on key people metrics, and drive data quality and system improvements across People, Finance, IT and leadership teams.

Hybrid policy: 3 days a week in central London.

#J-18808-Ljbffr

People Data & Systems Lead β€” Analytics, HR Tech (Hybrid) employer: People Management magazine

The Society of London Theatre (SOLT) is an exceptional employer, offering a vibrant work culture in the heart of Covent Garden. With a focus on employee experience, SOLT provides generous benefits including annual leave, pensions, and exclusive access to theatre tickets, fostering both personal and professional growth within a supportive environment.

P

Contact Details:

People Management magazine Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land People Data & Systems Lead β€” Analytics, HR Tech (Hybrid)

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like People Management magazine!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like People Data & Systems Lead β€” Analytics, HR Tech (Hybrid) at People Management magazine.

✨Leverage Professional Networks

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 People Management magazine.

✨Apply Directly through Our Website

When you find a suitable opening like People Data & Systems Lead β€” Analytics, HR Tech (Hybrid) at People Management magazine, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace People Data & Systems Lead β€” Analytics, HR Tech (Hybrid)

Communication Skills
Problem-Solving Skills
Attention to Detail
SQL
Automation
Data Governance
Python

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 People Management magazine, 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 People Management magazine. 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 People Management magazine

✨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 People Management magazine!

✨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.