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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 holiday allowance, training sponsorship, and more perks.
- Why this job: Be part of a tech-driven environment transforming data capabilities with advanced tools.
- Qualifications: 3-5 years in data warehousing, strong ETL knowledge, and experience with SAS and SQL Server.
- Other info: Collaborate across departments to implement process automation solutions.
The predicted salary is between 48000 - 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 topics during interviews, showcasing your passion and knowledge.
✨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 others, as personal referrals can significantly boost your chances of landing an interview.
✨Tip Number 3
Brush up on your skills with SAS and Oracle databases, as well as Python programming. Consider taking online courses or certifications to demonstrate your commitment to professional development, which is highly valued by employers.
✨Tip Number 4
Prepare to discuss your experience with change and release management processes. Be ready to provide examples of how you've successfully implemented these in past roles, as this will show your capability to handle the responsibilities of the Data Warehousing Manager position.
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.
Proofread Your Application: Before submitting, carefully proofread your application for any errors. A well-written application reflects your attention to detail, which is crucial for a Data Warehousing Manager.
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 or improved processes, showcasing your analytical skills.
✨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, demonstrating your ability to collaborate across departments.
✨Understand the Company Culture
Research the financial organisation's values and mission. Be prepared to discuss how your personal values align with theirs and how you can contribute to their goals, especially in terms of supporting clients and enhancing data capabilities.
