People Analytics Analyst | Hybrid Work & Data Insights in Manchester

People Analytics Analyst | Hybrid Work & Data Insights in Manchester

Manchester Bachelor 30000 - 40000 £ / year (est.) Home office (partial)
Latham & Watkins LLP

At a Glance

  • Tasks: Analyse people data and create insightful reports to drive business decisions.
  • Company: Join Latham & Watkins, a leading law firm with a focus on innovation.
  • Benefits: Enjoy health insurance, wellness programmes, and a hybrid work model.
  • Other info: Dynamic role with opportunities for professional growth in a supportive environment.
  • Why this job: Make a real impact by shaping human capital strategies through data insights.
  • Qualifications: Bachelor's degree in a related field and skills in data visualisation required.

The predicted salary is between 30000 - 40000 £ per year.

Latham & Watkins, LLP in Manchester is seeking a People Analytics Analyst to provide accurate people data for business decisions. This integral role involves developing reports and dashboards using Excel, Tableau, and Power BI to support human capital strategies.

The successful candidate will manage human resources data, build queries using PeopleSoft, and create data visualizations to identify trends. A bachelor's degree in a related field is required along with skills in data visualization.

The position offers a comprehensive benefits package including health insurance and wellness programs.

People Analytics Analyst | Hybrid Work & Data Insights in Manchester employer: Latham & Watkins LLP

Latham & Watkins, LLP is an exceptional employer that values innovation and collaboration in the heart of Manchester. With a strong commitment to employee growth, we offer extensive training opportunities and a supportive work culture that encourages creativity and data-driven decision-making. Our comprehensive benefits package, including health insurance and wellness programmes, ensures that our team members thrive both personally and professionally.

Latham & Watkins LLP

Contact Details:

Latham & Watkins LLP Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land People Analytics Analyst | Hybrid Work & Data Insights in Manchester

Get Involved in Data Science Communities

Join online platforms like Kaggle, GitHub, or local meetups focused on data science. Contributing to open-source projects or competing in data challenges can really boost your visibility and showcase your skills to potential employers like Latham & Watkins LLP.

Utilise University Career Services

Tap into your university’s career services for internships or early-talent programmes specifically tailored for data science students. They often have connections with companies like Latham & Watkins LLP who are on the lookout for fresh talent, so don’t miss out on those opportunities!

Show Off Your Projects

Create a portfolio that highlights your data analysis projects, especially any real-world applications. Sharing your projects on platforms like GitHub or even a personal website allows recruiters at places like Latham & Watkins LLP to see what you can achieve beyond your degree.

Be Active on LinkedIn

Don’t just use LinkedIn to connect; share your insights on data trends or engage with posts from industry leaders. This can really help you stand out when applying for roles at companies like Latham & Watkins LLP.

We think you need these skills to ace People Analytics Analyst | Hybrid Work & Data Insights in Manchester

Data Analysis
Excel
Tableau
Power BI
PeopleSoft
Data Visualization
Report Development

Some tips for your application 🫡

Show Off Your Technical Skills!:When applying for a data science internship like the one at Latham & Watkins LLP, make sure your CV highlights relevant technical skills such as programming languages (like Python or R), data visualisation tools, and statistical analysis. Include projects or coursework that illustrate your hands-on experience with these skills—this grabs our attention!

Include Your Side Projects:Data science is all about practical application, so don’t be shy about showcasing any side projects or personal initiatives—like a cool data analysis you did or a Kaggle competition you joined. This is the perfect way to demonstrate your passion for the field and your ability to apply what you’ve learnt.

Craft an Engaging Cover Letter:This isn’t just another application; it’s your chance to tell us why you’re all about data science! In your cover letter, reflect on why this internship excites you and how it fits into your learning journey. Let us see your enthusiasm and potential for growth in this field—it's a huge plus!

Keep It Clean and Professional:While we love creativity, keeping your CV and cover letter clear and professional is super important. Make sure they're easy to read with a nice layout. Use bullet points to highlight key achievements—this makes it easier for us to find the juicy bits quickly. And seriously, don’t forget to apply through our website!

How to prepare for a job interview at Latham & Watkins LLP

Master the Tech Stack

As we're diving into data science for an internship level, brush up on the key tools and languages like Python, R, and SQL. You might be asked to demonstrate your knowledge through practical coding exercises, so ensure you can confidently run through basic algorithms or data manipulation tasks during your interview.

Portfolio Power

Make sure your portfolio shines! Bring examples of projects you've worked on, showcasing your data analysis and visualisation skills. Especially for an internship, having real-world applications of your coursework or personal projects can really set you apart and spark great conversations.

Explain Your Thought Process

Data science isn't just about crunching numbers; it's about communicating insights too. Prepare to explain your methodologies clearly. For instance, if asked about a project, outline how you approached the problem, what data you collected, and what insights you derived. This shows your analytical thinking and problem-solving skills.

Show Your Curiosity

For a bachelor's level position, the interviewers will be keen to see your enthusiasm and willingness to learn. Think of ways to discuss how you stay updated with the latest trends in data science or any online courses you've taken. This reflects not just your technical skills, but your passion for the field, which is crucial for an internship position.