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- Tasks: Manage and maintain accurate people-related data, supporting reporting cycles in a fast-paced environment.
- Company: Join a global financial institution known for its innovative technology solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and additional perks.
- Why this job: Perfect for data enthusiasts wanting to drive efficiency and transparency in a major tech organisation.
- Qualifications: 3-5 years in a data/reporting role, advanced Excel skills required.
- Other info: Opportunity to lead team stand-ups and support new starter inductions.
The predicted salary is between 52000 - 78000 £ per year.
Resource Data Analyst – Technology / HR – Hybrid London – £65K + Bonus & Benefits Overview: We are supporting a global financial institution in hiring a Resource Data Analyst to join its Technology function. This role is focused on managing and maintaining accurate people-related data, supporting reporting cycles, and ensuring process compliance across a large and fast-paced environment. It\’s a great opportunity for someone who enjoys working with data, systems, and stakeholders to drive efficiency and transparency across a major technology organisation. Role & Responsibilities: Maintain accurate resource data in Workday, validating updates from multiple sources. Run daily data checks using Excel macros and Power Query. Deliver regular reports (headcount, contract end dates, workforce changes) via Excel and Power BI. Liaise with HR, Finance, Procurement, and Tech leads to ensure data accuracy and process alignment. Lead daily team stand-ups to manage priorities. Run twice-monthly inductions for new starters in Technology. Create and update org charts using Visio. Support reporting for recruitment, JML processes, and Finance cost tracking. Build strong stakeholder relationships to promote best practices. Essential Skills & Requirements: 3-5 years experience in a data/reporting-focused role, ideally within Financial Services or a complex enterprise environment Advanced Excel skills – including macros and Power Query Proficient in Power BI – able to build, enhance, and publish dashboards Confident in using Microsoft Visio for creating workflows and org charts Strong numerical skills and exceptional attention to detail Excellent communication and stakeholder management abilities Able to work independently, prioritise workload, and meet deadlines in a fast-paced, data-driven environment Proactive, organised, and structured approach to problem solving Package: Basic salary: £65K Annual performance bonus Hybrid working model (3 days per week in central London office) Private medical cover Generous pension scheme Additional lifestyle and wellbeing benefits Opportunity to work in a high-profile team with exposure to senior stakeholders across Technology, HR, and Finance Resource Data Analyst – Technology / HR – Hybrid London – £65K + Bonus & Benefits
Resource Data Analyst employer: Intec Select Ltd
Contact Detail:
Intec Select Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Resource Data Analyst
✨Tip Number 1
Familiarise yourself with Workday and Excel, as these are crucial tools for the Resource Data Analyst role. Consider taking online courses or tutorials to sharpen your skills in these areas, especially focusing on macros and Power Query.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those who work with data management. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you stand out.
✨Tip Number 3
Prepare to discuss your experience with stakeholder management during interviews. Think of specific examples where you've successfully collaborated with different teams to improve data accuracy or reporting processes.
✨Tip Number 4
Showcase your analytical skills by being ready to discuss how you've used data to drive decisions in previous roles. Highlight any experience you have with reporting tools like Power BI, as this will be a key part of the job.
We think you need these skills to ace Resource Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data management and reporting, especially within financial services. Use specific examples that demonstrate your advanced Excel skills and familiarity with tools like Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the Resource Data Analyst role. Mention how your background aligns with the responsibilities outlined in the job description, such as managing resource data and liaising with various departments.
Showcase Relevant Skills: Emphasise your technical skills, particularly in Excel macros and Power Query. If you have experience with Workday or similar systems, be sure to mention it, as this is crucial for the role.
Highlight Stakeholder Engagement: Discuss any previous experiences where you built strong relationships with stakeholders. This is important for the role, so provide examples of how you promoted best practices and ensured data accuracy in past positions.
How to prepare for a job interview at Intec Select Ltd
✨Showcase Your Data Skills
Since the role focuses heavily on data management, be prepared to discuss your experience with data analysis tools like Excel and Power BI. Bring examples of how you've used these tools to drive efficiency in previous roles.
✨Understand the Company Culture
Research the global financial institution's values and culture. Be ready to explain how your personal values align with theirs, especially in terms of teamwork and stakeholder engagement.
✨Prepare for Technical Questions
Expect questions that assess your technical skills, particularly around data validation and reporting processes. Brush up on your knowledge of Workday and any relevant data compliance standards.
✨Demonstrate Communication Skills
As the role involves liaising with various departments, highlight your communication skills. Prepare examples of how you've successfully collaborated with HR, Finance, or Tech teams to ensure data accuracy and process alignment.
