At a Glance
- Tasks: Transform raw data into actionable strategies to enhance employee experience and business performance.
- Company: Join a global tech leader known for innovative solutions and a thriving workplace culture.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: We welcome applications from under-represented groups and support applicants with disabilities.
- Why this job: Empower senior leaders with critical insights and drive organisational change through data.
- Qualifications: Experience in analytics, strong business acumen, and a passion for accuracy.
The predicted salary is between 55000 - 65000 £ per year.
Aquent is partnering with a global technology leader renowned for its innovative solutions that empower organizations worldwide. This company is at the forefront of transforming how businesses operate, focusing on creating intuitive and impactful experiences. Join a team dedicated to leveraging data to drive strategic decisions and foster a thriving workplace culture.
Are you a visionary analytics product leader passionate about people data and driving organizational change? You will empower senior leaders across HR and the business with critical insights, transforming raw data into actionable strategies that enhance employee experience and business performance. Integrate insights seamlessly into partners' daily workflows using advanced experience platforms, ensuring relevance and immediate impact.
Conduct ad-hoc analysis and research to provide dedicated support to your partners.
- Strong professional experience with a strong focus on products, analytics, and people data.
- Proven track record of successfully leading and delivering large-scale analytical projects.
- Strong business acumen with the ability to understand complex business operations and how data informs people and strategic goals.
- Ability to translate employee data, qualitative and quantitative survey data into compelling executive summaries.
- Comprehensive understanding of people data sources, technology systems, and analytical methods.
- A strong focus on quality and a passion for accuracy, recognizing the critical nature of data for business decisions.
Bonus Points:
- Experience with leading reporting, dashboarding, and data discovery tools.
- Prior data science and/or analyst experience.
- Understanding of employee survey strategy, qualitative analysis, and employee sentiment.
Our Client is an American on-demand software vendor that specialises in applications for HR, finance and planning. Having designed for government agencies, educational institutions, and some of the world’s largest corporations, they set themselves apart from their competitors as the only ones seamlessly integrating modern and futuristic developments into their existing systems.
We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Specialist (Finance) in London
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Aquent!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Specialist (Finance) in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Aquent, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Aquent
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Aquent’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
