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- Tasks: Manage and transform data into reliable insights for investment analysis.
- Company: Dynamic company in Sheffield with a focus on data excellence.
- Benefits: Up to £47,500 salary, flexible working, and comprehensive benefits.
- Other info: Opportunity for growth in a tech-driven role with innovative tools.
- Why this job: Be the data expert and drive impactful decisions in a collaborative environment.
- Qualifications: Experience with Power BI, data manipulation, and a solid understanding of database design.
The predicted salary is between 47500 - 47500 £ per year.
Sheffield (2 days onsite, 3 home working) Up to £47,500 + Benefits
Your new role
The role owns all data for a specific asset class - collecting, validating, cleansing, and transforming it into reliable insight. As the single point of accountability, the post holder ensures accurate, timely data for analysis and high-level reporting. They act as the data expert across diverse investment partners, lead the use and development of the enterprise data warehouse, and manage the loading and validation of raw data from multiple sources. The role delivers the analytical foundation for a wide range of internal and external reporting needs.
Responsibilities
- Oversee end-to-end transport, validation, transformation, and loading of raw data from internal and external sources.
- Manage the full data-load process into the enterprise data warehouse.
- Coordinate analysts to ensure all data preparation is accurate, timely, and completed to required standards.
- Provide reliable analytical datasets for product, strategy, and risk teams.
- Maintain up-to-date tracking of data received from delivery partners and resolve any issues quickly.
- Ensure secure handling of all source data, including appropriate anonymisation.
- Act as the organisation's expert on all analytical data, maintaining detailed knowledge of data attributes and product structures.
- Define and run robust technical data-quality checks, and train analysts to apply them consistently.
- Reconcile financial data with finance records and improve automated quality checks.
- Validate and standardise investment data from internal and external sources and prepare templates for warehouse uploads.
- Populate and refresh enterprise data warehouse datasets to agreed schedules.
- Identify and diagnose data-quality issues, recommending solutions.
- Define new data requirements for new partners, product types, and initiatives, aligning them with existing data structures.
- Test, document, and improve data-cleansing and transformation processes.
- Specify analytical datasets to support strategic, regulatory, and business-critical reporting.
- Contribute to BI architecture development and adoption of new tools.
- Agree data-provision processes with new partners and initiatives.
Experience needed
- Essential to have excellent experience of reporting and data manipulation via Power BI, PowerQuery and DAX.
- A sound technical understanding of database design, including conceptual, logical, and physical data models.
- Constructing queries and data sets under a controlled development methodology.
- Monitoring and measurement of data quality.
- Handling and validating financial data with precision.
- Understanding of data visualisation best practice with evidence of implementation.
- Experience of the Microsoft Analytics & Power technology stack including Microsoft Fabric and Azure.
- Basic understanding of data science principles such as machine learning, cluster analysis etc. as well as generative AI, NLP etc.
Data Manager (12 month FTC) employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager (12 month FTC)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend industry meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data manipulation projects, especially using Power BI and DAX. We want to see how you’ve tackled real-world problems with data – it’s a great way to stand out during interviews!
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of database design and data quality checks. We recommend practising how you’d explain complex concepts in simple terms – it’ll show you’re not just a data whiz, but also a great communicator.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search – it shows you’re serious about joining our team!
We think you need these skills to ace Data Manager (12 month FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Manager role. Highlight your experience with data manipulation, reporting, and any relevant tools like Power BI and DAX. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how your background makes you the perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your technical expertise in database design and data quality checks. We love candidates who can demonstrate their understanding of the Microsoft Analytics & Power technology stack, so make sure to include that!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Good luck!
How to prepare for a job interview at Hays
✨Know Your Data Inside Out
Make sure you have a solid understanding of the data management processes mentioned in the job description. Brush up on your knowledge of data validation, transformation, and loading techniques. Being able to discuss specific examples from your past experience will show that you're not just familiar with the concepts but can apply them effectively.
✨Showcase Your Technical Skills
Since the role requires expertise in Power BI, PowerQuery, and DAX, be prepared to demonstrate your proficiency with these tools. Bring along examples of reports or dashboards you've created, and be ready to explain your thought process behind the data manipulation and visualisation techniques you used.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world data challenges. Think about potential data quality issues you might encounter and how you would resolve them. Practising your responses to these scenarios will help you articulate your problem-solving skills during the interview.
✨Understand the Bigger Picture
Familiarise yourself with the company's goals and how the data manager role fits into their overall strategy. Be ready to discuss how your work can contribute to internal and external reporting needs, and how you can support various teams with reliable analytical datasets. This shows that you're not just focused on the technical side but also understand the strategic importance of data management.