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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, professional development opportunities, and a collaborative culture.
- Why this job: Be part of a dynamic team that values diversity and innovation in the tech space.
- 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.
Data Warehouse Manager employer: Sanderson
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 help you stand out 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
Showcase your leadership skills by discussing any past experiences where you managed a team or mentored others. Highlighting your ability to foster an inclusive environment will resonate well with potential employers.
✨Tip Number 4
Prepare to discuss your problem-solving approach during interviews. Be ready to share specific examples of how you've tackled challenges in data processing or automation, as this will illustrate your analytical skills effectively.
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 SAS and Python. Use specific examples to demonstrate your leadership and technical abilities.
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 data warehousing or team management, include these in your application. Describe your role, the tools you used, and the outcomes achieved to illustrate your capabilities.
Highlight Soft Skills: Since the role involves mentoring and fostering an inclusive environment, emphasise your communication skills and ability to work collaboratively. Provide examples of how you've successfully led teams or managed projects in the past.
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 aligns with the company's values.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in previous roles, particularly related to data warehousing and ETL. 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 any relevant legal guidelines. Being able to discuss how data security and compliance play a role in data warehousing will show that you understand the broader implications of the role.
