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- Tasks: Lead a team to deliver innovative data warehousing solutions and manage daily operations.
- Company: Join a forward-thinking company passionate about data and analytics.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and professional growth.
- Why this job: Be at the forefront of modernising data warehousing in a cloud environment while making a real impact.
- Qualifications: Degree in Computer Science or related field; experience with SAS, ETL, and Python preferred.
- Other info: Candidates from all backgrounds are encouraged to apply!
The predicted salary is between 48000 - 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 Recruitment Plc
Contact Detail:
Sanderson Recruitment Plc 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 project. Highlighting your ability to mentor and foster an inclusive environment will resonate well with the hiring team.
✨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 relevant experience in data warehousing, ETL processes, and any specific tools mentioned in the job description, such as SAS and Python. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and analytics. Mention specific projects or experiences that demonstrate your leadership skills and technical expertise. Show how you can contribute to modernising their data warehousing function.
Highlight Team Management Experience: If you have experience managing a technical team, be sure to elaborate on this in your application. Discuss your approach to mentoring and fostering an inclusive environment, as these are key responsibilities of the role.
Showcase Problem-Solving Skills: Provide examples of how you've tackled complex data challenges in the past. Highlight your analytical skills and attention to detail, as these are crucial for the Data Warehouse Manager position.
How to prepare for a job interview at Sanderson Recruitment Plc
✨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 technical team, be ready to share examples of how you've led teams in the past. Discuss your approach to mentoring and fostering 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 and how you overcame them. This could include issues related to data security, compliance, or process automation. Showing your analytical skills will be key.
✨Understand the Company’s Needs
Research the company and its data warehousing function before the interview. Be ready to suggest how you can modernise their operations with industry-leading tools, demonstrating that you are proactive and aligned with their goals.
