At a Glance
- Tasks: Analyse people data to provide insights and support HR initiatives.
- Company: Join Howden, a global insurance group with a unique employee-owned culture.
- Benefits: Define your career path with diverse opportunities and a supportive environment.
- Other info: Collaborative culture focused on innovation and personal growth.
- Why this job: Make a real impact by leveraging data to drive change in a dynamic team.
- Qualifications: Experience in People Analytics, strong analytical skills, and proficiency in Power BI.
The predicted salary is between 40000 - 50000 £ per year.
Who are we?
Howden is a global insurance group with employee ownership at its heart.
Together, we have pushed the boundaries of insurance.
We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.
People join Howden for many different reasons, but they stay for the same one: our culture.
It's what sets us apart, and the reason our employees have been turning down headhunters for years.
Whatever your priorities - work / life balance, career progression, sustainability, volunteering - you'll find like-minded people driving change at Howden.
Here at Howden, we are expanding our data team to reflect the critical nature of our data to our expanding HR department and the fast-paced, international company it is part of.
The People Analytics Analyst will work on key initiatives to help us ensure that our data is accurate, relevant and able to provide the business with key people insights.
The purpose of this role is to support the Howden people and commercial agendas by working with the rest of the People Analytics team to provide a view of our talent by maintaining people systems and being an expert in reporting from them as well as delivering ad hoc analysis to support specific initiatives.
- Role Specific Responsibilities
- Support an accurate and up-to-date view of employee headcount and associated metrics, working with the relevant teams to get best view of people movements, and with the HRES and HRIS teams to accurately maintain people systems and tools
- Work with supervisor to design, deliver and consolidate and optimise our reporting of survey results across the employee lifecycle
- Support the implementation of a holistic framework across all surveys
- Support the preparation, analysis and presentation of key insights and recommendations from the survey dataset to key HR and business stakeholders Partner with COE champions to support deployment of improvements to employee lifecycle
- Develop and maintain new analytical tools/dashboards and processes to support the running of the business, leveraging proficiency in Databricks, SQL and Power BI
- Partner with the business to understand needs and translate them into technology requirements, enhancing current processes to streamline data workflows and automate processes efficiently where possible
- Support the master data principles for HR Data, defining blueprints for data management systems whilst ensuring the integrity, confidentiality and security of all datasets.
- Support implementation of policies and guidelines for data management and develop standard operating procedures for data handling and archiving
- Working closely with the HR Information Systems (HRIS) team, Finance, IT and other data providers to support improved data collaboration, awareness, operational effectiveness and data quality
- Build knowledge and share data expertise and techniques to cultivate a data driven culture across the wider HR team
- Support improvement initiatives and ad hoc analytical tasks (eg. Attrition deep dives, Annual Leave analysis) along with being an analytical "power-user" and coach the team
Person Specification
- Clear and logical thinking
- Comfort with numbers, systems, data and reporting
- Excellent communication skills
- Excellent time management skills - ability to prioritise, multi-task and hit deadlines
- Team player, but able to work on own initiative
- Discrete, diplomatic and able to deal with highly confidential information
- Organised with strong ability to prioritise
- An inquisitive and challenging mind - with an interest in questioning and improving the "as is"
- Driven by deadlines/reliably delivers against deadlines
- Problem solver with the patience and perseverance it takes to do so.
- Professional/Technical Qualifications
- Required: Proficiency in Microsoft Suite and Power BI
- Required: Experience in a People Analytics environment
- Preferred: Proficiency in SQL and Databricks
- Strong analytical, problem solving and quantitative skills
- 2-3 years' experience of working in a demanding environment, preferably a professional services or financial services organisation
- Proven organisational and administrative skills, in a busy, fast-paced environment
- Experience working with systems, reporting and data
- Ability to analyse and solve problems methodologically driving business insights
- Passionate about leveraging technology to improve performance using data to drive insight and action
- Previous experience related at least one area of the employee lifecycle beneficial
What do we offer in return?
A career that you define. At Howden, we value diversity - there is no one Howden type. Instead, we're looking for individuals who share the same values as us:
- Our successes have all come from someone brave enough to try something new
- We support each other in the small everyday moments and the bigger challenges
- We are determined to make a positive differenc
- #J-18808-Ljbffr
People Data Analyst employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land People Data Analyst
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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 Analyst at PVH (Tommy Hilfiger/Calvin Klein).
✨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 PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like People Data Analyst at PVH (Tommy Hilfiger/Calvin Klein), 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 Analyst
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 PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)
✨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 PVH (Tommy Hilfiger/Calvin Klein)!
✨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.