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- Tasks: Lead a team to deliver innovative data warehousing solutions and manage daily operations.
- Company: Join a forward-thinking company focused on data analytics and cloud technology.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values inclusivity and innovation in data management.
- Qualifications: Degree in a relevant field and experience with SAS, ETL, and Python preferred.
- Other info: Ideal for those passionate about data and eager to make an impact.
The predicted salary is between 43200 - 72000 £ per year.
Are you passionate about data and analytics? Our client is seeking a Data Warehouse Manager to lead a diverse team in delivering innovative data warehousing solutions. This role involves supporting daily operations and modernizing our data warehousing function with industry-leading tools in a cloud environment. We welcome candidates from all backgrounds with experience in SAS, ETL, and Python.
Key Responsibilities:
- Lead and coordinate the data warehousing team.
- Manage the work backlog and prioritize tasks.
- Mentor team members and foster an inclusive environment.
- Deliver ETL and data processing code.
- Develop process automation solutions.
- Liaise with third-party suppliers.
- Document systems and processes.
- Advise on data security and compliance.
- Design solutions and support scheduling systems.
- Champion best practices in coding and solution design.
Skills & Qualifications:
- Degree in Computer Science, Engineering, Mathematics, or related field.
- Experience managing a technical team (desirable).
- Excellent communication skills.
- Strong understanding of data warehousing and ETL principles.
- Experience with SAS software, Oracle databases, and Python.
- Intermediate skills in Windows and Linux OS.
- Attention to detail and multi-tasking abilities.
- Strong analytical and problem-solving skills.
- Knowledge of finance sector and legal guidelines.
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data warehousing and cloud technologies. Being knowledgeable about industry-leading tools will not only boost your confidence but also demonstrate your commitment to modernising data solutions.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who have experience with SAS, ETL, and Python. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your leadership style and how you foster an inclusive environment. Think of examples from your past experiences where you successfully mentored team members or managed a diverse group.
✨Tip Number 4
Brush up on your knowledge of data security and compliance, particularly in the finance sector. Being able to speak confidently about these topics will set you apart as a candidate who understands the importance of these issues in data management.
We think you need these skills to ace Data Warehouse Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data warehousing, ETL processes, and any relevant programming skills like Python. Use specific examples to demonstrate your leadership abilities and technical expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Mention how your background aligns with the key responsibilities of the Data Warehouse Manager role and how you can contribute to modernising their data warehousing function.
Showcase Relevant Projects: If you've worked on projects involving SAS, Oracle databases, or cloud environments, be sure to include these in your application. Highlight your role in these projects and the impact they had on your previous teams or organisations.
Prepare for Technical Questions: Anticipate questions related to data warehousing principles, ETL processes, and coding best practices during the interview. Brush up on your knowledge of data security and compliance, as these are crucial for the role.
How to prepare for a job interview at Sanderson
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SAS, ETL processes, and Python in detail. Highlight specific projects where you successfully implemented these technologies, as this will demonstrate your capability to lead the data warehousing team effectively.
✨Emphasise Leadership Skills
Since the role involves managing a diverse team, share examples of how you've led teams in the past. Discuss your mentoring approach and how you foster an inclusive environment, as this is crucial for the company's culture.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles, particularly related to data warehousing and compliance. Explain how you approached these problems and the solutions you implemented, showcasing your analytical skills.
✨Understand the Business Context
Familiarise yourself with the finance sector and relevant legal guidelines. Being able to discuss how data warehousing impacts business decisions and compliance will show that you understand the broader implications of your work.
