At a Glance
- Tasks: Support data-driven decision-making in Investments by leading stakeholder engagement and requirements definition.
- Company: WTW, a leader in investment solutions with a focus on collaboration.
- Benefits: Flexible hybrid working, 25 days annual leave, healthcare, and pension scheme.
- Other info: 18-month Fixed-Term Contract with excellent career development opportunities.
- Why this job: Make a real impact in the investment sector while enhancing your analytical skills.
- Qualifications: Experience in business analysis and strong communication skills.
The predicted salary is between 30000 - 40000 £ per year.
WTW seeks an experienced Business Analyst to support our Investments line of business in enhancing data-driven decision-making. You'll lead stakeholder engagement and requirements definition while collaborating across Investments, Data, and Technology teams.
This is an 18-month Fixed-Term Contract offering a flexible hybrid working model with 2 days per week in the office. We provide an attractive benefits package, including 25 days annual leave, healthcare, and a pension scheme.
Investments Data Strategy Analyst employer: WTW
WTW is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible hybrid working model that promotes work-life balance. With an attractive benefits package including 25 days of annual leave, comprehensive healthcare, and a robust pension scheme, WTW fosters a collaborative work culture where employees can thrive and contribute meaningfully to data-driven decision-making in the Investments sector.
StudySmarter Expert Advice🤫
We think this is how you could land Investments Data Strategy Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like WTW before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like WTW.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like WTW.
We think you need these skills to ace Investments Data Strategy Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at WTW, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to WTW, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab WTW’s attention and show the tangible impact of your work.
How to prepare for a job interview at WTW
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at WTW.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at WTW.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at WTW.
