At a Glance
- Tasks: Analyse workforce data to uncover insights and drive decision-making.
- Company: Global software provider for energy, water, and communications industries.
- Benefits: Strong learning opportunities, exposure to senior stakeholders, and a diverse work environment.
- Other info: Inclusive workplace celebrating diversity and equal opportunities for all.
- Why this job: Shape AI-driven people analytics and make a real impact in a global setting.
- Qualifications: Degree in Data Science or related field; experience with data analysis tools.
The predicted salary is between 28000 - 35000 ÂŁ per year.
Hansen (ASX: HSN) is a global provider of software and services to the energy, water and communications industries. With our awardâwinning software suite, we help customers in over 80 countries to create and deliver new products and services, engage with customers, and control and manage critical revenue management and customer support processes.
Traditionally Hansen has been known for our billing and customer care solutions for utilities and energy companies; and for our BSS/OSS solutions for the communications industry. Yet today our solutions are far broader than this â from enabling the strategic trading of energy resources, to gaining real insights from the data tsunami that smart meters enable and the ability to quickly sell products through our Catalogâdriven solutions.
Put simply, our solutions are essential ingredients in our customers' commercial business model, providing them the ability to create and deliver these essential services, charge for them, and establish and maintain lasting relationships with their end customers.
About The Role
We're looking for an Associate Data Analyst to help build a modern, AIâenabled people analytics capability. In this role, you'll analyse workforce, productivity, and utilisation data to uncover insights that drive better decisionâmaking across the organisation. This is an excellent opportunity for a recent graduate or earlyâcareer analyst with strong analytical foundations and a passion for applying data science and AI to realâworld people and workforce challenges.
What You'll Do
- Analyse people, workforce, and productivity data to identify trends, risks, and opportunities
- Design and deliver dashboards, reports, and visualisations for leaders using tools such as Power BI
- Leverage AI tools (including Copilot and large language models) to accelerate analysis, insight generation, and reporting
- Translate complex data into clear, practical insights and recommendations for nonâtechnical stakeholders
- Support the continuous improvement of people metrics, reporting standards, and analytical approaches
- Partner with HR, Finance, and IT to ensure data quality, consistency, and responsible use of people data
What You'll Bring
- A degree (or near completion) in Data Science, Analytics, Statistics, Computer Science, Economics, Psychology, or a related field
- Strong analytical thinking and problemâsolving skills
- Handsâon experience with data analysis tools such as Python, SQL, R, or similar
- Familiarity with data visualisation tools (e.g. Power BI, Tableau)
- Exposure to AI tools, machine learning concepts, or advanced analytics
- Ability to clearly communicate insights to both technical and nonâtechnical audiences
- Curiosity, a strong learning mindset, and a genuine interest in people analytics and AI
Why Join Us
- Help shape a nextâgeneration, AIâfirst people analytics function
- Apply data and AI to meaningful, realâworld organisational decisions
- Gain exposure to senior stakeholders in a global environment
- Benefit from strong learning and development opportunities across analytics, AI, and enterprise productivity
We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and are committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodations during the recruitment process, please let us know.
Associate Data Analyst in Kingston upon Thames employer: Hansen Technologies
Contact Detail:
Hansen Technologies Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Associate Data Analyst in Kingston upon Thames
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your studies or projects to demonstrate how you can apply data science and AI to solve problems.
â¨Tip Number 3
Donât just wait for job postings; be proactive! Research companies like Hansen and reach out directly to express your interest. A well-crafted email can make a lasting impression.
â¨Tip Number 4
Apply through our website for a smoother process. It shows you're genuinely interested in joining us and helps you stand out from the crowd. Plus, we love seeing applications come directly from our site!
We think you need these skills to ace Associate Data Analyst in Kingston upon Thames
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Associate Data Analyst role. Highlight relevant skills like data analysis, familiarity with tools like Python and Power BI, and any experience with AI. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about people analytics and how you can contribute to our team. Keep it engaging and personal â we love to see your personality come through.
Showcase Your Analytical Skills: In your application, donât just list your skills; show us how you've used them! Include examples of projects or experiences where youâve analysed data and derived insights. This will help us understand your analytical thinking process.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it gives you a chance to explore more about Hansen and our culture!
How to prepare for a job interview at Hansen Technologies
â¨Know Your Data Tools
Make sure you brush up on your skills with data analysis tools like Python, SQL, and R. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and understanding of the role.
â¨Visualisation is Key
Familiarise yourself with data visualisation tools such as Power BI or Tableau. Prepare to showcase any dashboards or reports you've created, as being able to present data visually is crucial for the Associate Data Analyst position.
â¨Understand AI Applications
Since the role involves leveraging AI tools, take some time to learn about how AI can enhance data analysis. Be prepared to discuss any relevant coursework or projects that involved machine learning concepts or AI applications.
â¨Communicate Clearly
Practice explaining complex data insights in simple terms. Youâll need to communicate effectively with both technical and non-technical stakeholders, so think of examples where you've successfully done this in the past.