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- Tasks: Lead a data-focused team to enhance reporting and analytics capabilities.
- Company: Join a leading financial organisation dedicated to helping clients manage their financial commitments.
- Benefits: Enjoy hybrid working, generous holidays, training sponsorship, and discounted gym membership.
- Why this job: Be part of a tech-driven environment focused on innovation and collaboration across departments.
- Qualifications: 3-5 years in data warehousing, knowledge of SAS, Oracle, SQL Server, and Python required.
- Other info: Apply directly or contact Chelsea Hackett for more details.
The predicted salary is between 43200 - 72000 £ per year.
A Data Warehousing Manager opportunity to join a leading financial organisation based in the North West. Salary up to £60,000 + some fantastic benefits including hybrid working, training and exam sponsorship, annual bonus scheme and much more.
WHO WE ARE: We are a service-oriented business that helps individuals manage their financial commitments. Our focus is on supporting clients throughout the duration of their agreements, working collaboratively to find sustainable solutions. We strive to provide flexible options that help maintain stability and continuity whenever possible.
OUR BENEFITS:
- Generous holiday allowance + bank holidays
- Professional development opportunities
- Training sponsorship
- Company social events
- Pension contribution
- Life insurance
- Flexible working
- Discounted gym membership
- And more…
WHAT WILL YOU BE DOING? This is a unique opportunity to take charge of a data-focused team within a technology-driven environment. Over the years, the team has built a strong foundation to support reporting and analytics needs. Looking ahead, there are plans to modernise and enhance data capabilities by leveraging advanced industry tools and cloud-based solutions. Alongside these advancements, the team will continue to develop structured reporting resources to improve consistency across the organisation. Additionally, a growing focus will be on collaborating with various departments to implement and maintain process automation solutions. The Data Warehousing Manager will play a key role in driving this transformation while ensuring the smooth operation of data and analytics services.
ESSENTIAL SKILLS:
- Strong understanding of data warehousing and ETL principles.
- At least 3-5 years of proven experience in data warehousing and/or data-related development roles.
- Experience/knowledge of SAS software on a SAS 9.4 platform architecture.
- Experience/knowledge of Oracle database solutions and other database platforms (e.g., SQL Server).
- Experience with Python.
- Ability to interact with Windows and Linux OS, including batch/shell scripting at an intermediate level.
- Knowledge, understanding, and experience of change and release management processes.
- Good analytical and problem-solving skills.
- Excellent communication skills.
KEY SKILLS: Python, ETL, SAS, SQL Server, Linux OS, Windows.
Data Warehouse Manager employer: Searchability®
Contact Detail:
Searchability® 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 ETL processes. This will not only help you understand the role better but also allow you to discuss relevant advancements during interviews, showcasing your proactive approach.
✨Tip Number 2
Network with professionals in the financial sector who are involved in data management. Attend industry events or join online forums to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Brush up on your skills with SAS and Oracle database solutions, as well as Python programming. Consider taking short courses or certifications that can enhance your knowledge and demonstrate your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss your experience with change and release management processes. Think of specific examples where you've successfully implemented changes in a data environment, as this will highlight your problem-solving skills and ability to drive transformation.
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 in data warehousing and ETL principles. Include specific examples of your work with SAS, Oracle, and Python to demonstrate your technical skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of the role and the company. Mention how your background aligns with their goals of modernising data capabilities and improving reporting consistency.
Highlight Relevant Experience: In your application, emphasise your 3-5 years of experience in data-related roles. Discuss any projects where you implemented process automation solutions or collaborated with other departments.
Showcase Soft Skills: Don't forget to mention your communication skills and problem-solving abilities. These are crucial for the Data Warehousing Manager role, especially when working with cross-departmental teams.
How to prepare for a job interview at Searchability®
✨Showcase Your Technical Skills
Make sure to highlight your experience with data warehousing, ETL principles, and the specific technologies mentioned in the job description, such as SAS and SQL Server. Be prepared to discuss how you've used these tools in past roles.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in previous positions. This could involve discussing specific projects where you implemented solutions that improved data processes or reporting.
✨Communicate Effectively
Since excellent communication skills are essential for this role, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-technical stakeholders can understand.
✨Understand the Company’s Goals
Research the financial organisation and its mission. Be prepared to discuss how your role as a Data Warehousing Manager can contribute to their objectives, especially in terms of modernising data capabilities and enhancing collaboration across departments.
