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- Tasks: Lead a team to manage data warehouse operations and ensure timely job delivery.
- Company: Join a dynamic Chester-based company known for its innovative approach to data management.
- Benefits: Enjoy a competitive salary, hybrid working model, and flexible home working options.
- Why this job: Be part of a growing team that values analytics and offers hands-on experience with cutting-edge tools.
- Qualifications: 3+ years in a data role; skills in SAS, SQL, Oracle, Python, and Linux are a plus.
- Other info: This role offers a unique opportunity to shape data strategies in a supportive environment.
The predicted salary is between 36000 - 60000 £ 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.
Locations
Data Warehousing Manager employer: ShortList Recruitment Limited
Contact Detail:
ShortList Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehousing 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 data warehousing field, especially those who work with SAS and SQL. Attend industry meetups or webinars to make connections and learn about potential job opportunities.
We think you need these skills to ace Data Warehousing 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 not only outlines your qualifications but also explains why you are passionate about the Data Warehouse Manager role. Mention how your hands-on experience aligns with the company's needs and values.
Showcase Relevant Projects: If you have worked on specific projects involving data warehousing or analytics, include them in your application. Describe your role, the tools you used, and the outcomes of these projects to illustrate your capabilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects 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 like Oracle or Python. Be prepared to discuss specific projects where you used these technologies and the impact they had on the business.
✨Demonstrate Leadership Experience
As a Data Warehouse Manager, you'll be leading a team. Share examples of how you've successfully managed teams in the past, including how you handled scheduling and ensured tasks were completed on time.
✨Understand the Business Needs
Research the company and its data needs. Be ready to discuss how you can align the data warehouse operations with their business objectives and improve efficiency in delivering MI/BI.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills. Prepare to discuss how you would handle common issues in data warehousing, such as job failures or data quality problems, and how you would ensure SLAs are met.
