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- Tasks: Analyse and report on data to support business decisions using Power BI.
- Company: A leading Social Enterprise driving growth for entrepreneurs.
- Benefits: Competitive salary, generous holiday, pension contributions, and social responsibility day.
- Why this job: Join a small team making a big impact with data-driven insights.
- Qualifications: 3+ years in data roles, advanced Power BI and Excel skills required.
- Other info: Hybrid work model with opportunities for professional growth.
The predicted salary is between 45000 - 50000 £ per year.
A leading Social Enterprise, which helps fund investments to entrepreneurs and high growth businesses, is currently looking for a Data Reporting Analyst to help support the FP&A with the embedding of Power BI, and the delivery of MI data across the business. This is a small, professional team.
The role will be responsible for internal and external MI data and stakeholder reporting, working closely with the Finance Team and regional business teams. This role will involve gathering, validating & submitting MI data from various sources using a range of tools and presenting the outputs in clear and meaningful fund performance reports to strict deadlines.
- Deliver all MI data and financial stakeholder reporting & submissions in accordance with published timetables.
- Liaise with internal teams to ensure deadlines & requirements are understood, planned for & met.
- Lead extraction, validation & cleansing of MI data from CRM, Finance systems & Excel files, ensuring data is accurate, complete & to deadlines.
- Work to help embed Power BI throughout the organisation.
- Work with the Head of FP&A to publish data & reports in Power BI to meet both stakeholder and Regional Heads' requirements.
- Develop MI reports to meet evolving needs of the business, automating where possible and driving all data into a system.
- Perform SQL data mining and data manipulation.
- Act as point of contact for all reporting requirements.
- Submit information for all audits, including the annual audits.
What you’ll need to succeed:
- At least 3 years’ experience in a data-focussed role producing MI, reporting packs & dashboards including robust controls and validation checks.
- Advanced Power Pivot / Power BI skills & Excel with excellent presentation skills.
- Excellent organisational & communication skills.
- High attention to detail and accuracy.
- Knowledge of funds management, AI & SQL an advantage.
What you’ll get in return:
- Salary between £45,000 and £50,000.
- 25 days’ holiday, plus bank holidays, plus a birthday, plus 1 day for social responsibility.
- 8% pension contribution by the company.
- And more!
If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Locations
Data Reporting Analyst in Fleet, Hampshire employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Reporting Analyst in Fleet, Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your Power BI skills. We recommend creating a portfolio of your best work to demonstrate your data reporting prowess. Show them what you've got!
✨Tip Number 3
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight your fit for the position.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Reporting Analyst in Fleet, Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Reporting Analyst role. Highlight your experience with MI data, Power BI, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use numbers and examples to demonstrate how you’ve successfully gathered, validated, and presented data in previous roles. This will help us see the impact you've made.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about this role and how your background makes you a great fit. We love seeing enthusiasm and a personal touch, so let your personality come through!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Hays Technology
✨Know Your Data Tools
Make sure you brush up on your Power BI, SQL, and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles, especially in creating MI reports and dashboards. Showing that you can hit the ground running with their tech stack will impress the interviewers.
✨Understand the Business Context
Research the company’s mission and how they support entrepreneurs and high-growth businesses. Being able to connect your data reporting skills to their goals will demonstrate your genuine interest in the role and how you can contribute to their success.
✨Prepare for Scenario Questions
Expect questions about how you would handle specific data challenges, like validating and cleansing MI data or meeting tight deadlines. Think of examples from your experience where you successfully navigated similar situations, and be ready to share those stories.
✨Showcase Your Communication Skills
Since this role involves liaising with various teams, practice explaining complex data concepts in simple terms. During the interview, highlight instances where your communication made a difference in stakeholder understanding or project outcomes.
