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- Tasks: Lead the data warehouse team and ensure smooth operations with SAS analytics.
- Company: Join a dynamic Chester-based company focused on data-driven solutions.
- Benefits: Enjoy a salary up to £60,000 and hybrid working options with 3 days remote.
- Why this job: Be part of a growing team that values innovation and offers hands-on experience.
- Qualifications: 3+ years in a data role; skills in SAS, SQL, Oracle, Python, and Linux preferred.
- Other info: This is a fantastic opportunity for those passionate about data management.
The predicted salary is between 43200 - 84000 £ per year.
ShortList Recruitment are working with an excellent Chester-based client who are recruiting for a Data Warehouse Manager to join their growing team.
The Data Warehouse Manager will ensure the data warehouse team is managed appropriately, scheduled jobs run without error and are delivered within SLA. This is a hands-on role which will primarily support the business with SAS, being used as the primary tool for analytics, data mining, data warehousing and production of MI/BI.
Nice to have skills for the Data Warehouse Manager role:
- At least 3 years of experience in a data-related role
- SAS
- SQL
- Oracle
- Python
- Linux OS
In return, the Data Warehouse Manager can expect a salary up to £60,000 DOE + benefits. The role will be based in the Chester offices, but will be on a hybrid working model with the flexibility to work from home 3 days per week.
BI & Data Warehouse Manager employer: ShortList Recruitment Limited
Contact Detail:
ShortList Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BI & Data Warehouse Manager
✨Tip Number 1
Familiarise yourself with SAS, as it's the primary tool for analytics in this role. Consider taking an online course or working on personal projects that utilise SAS to demonstrate your hands-on experience.
✨Tip Number 2
Brush up on your SQL skills, as they are essential for managing data effectively. Practice writing complex queries and optimising them for performance, which will show your capability in handling large datasets.
✨Tip Number 3
Gain a solid understanding of data warehousing concepts and best practices. Being able to discuss these topics confidently during interviews will highlight your expertise and readiness for the role.
✨Tip Number 4
Network with professionals in the BI and data management field. Attend relevant meetups or webinars to connect with others and learn about industry trends, which can give you an edge in your application.
We think you need these skills to ace BI & Data Warehouse Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data-related roles, particularly with SAS, SQL, Oracle, Python, and Linux OS. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for the Data Warehouse Manager role. Mention your hands-on experience and how you can contribute to the team’s success, especially in managing scheduled jobs and ensuring they run without error.
Showcase Relevant Projects: If you have worked on any relevant projects, include them in your application. Describe your role, the tools you used (like SAS), and the outcomes of the projects to demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a managerial role.
How to prepare for a job interview at ShortList Recruitment Limited
✨Showcase Your Technical Skills
Make sure to highlight your experience with SAS, SQL, and any other relevant tools during the interview. Be prepared to discuss specific projects where you utilised these skills, as this will demonstrate your hands-on expertise.
✨Understand the Business Needs
Research the company and its data requirements before the interview. Understanding how the data warehouse supports business objectives will allow you to speak confidently about how you can contribute to their success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples from your past experience where you successfully managed data-related challenges or improved processes.
✨Emphasise Team Management Experience
Since the role involves managing a team, be ready to discuss your leadership style and experiences. Share examples of how you've motivated teams, resolved conflicts, and ensured projects were delivered on time.
