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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 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.
DATA WAREHOUSING MANAGER – 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.
TO BE CONSIDERED… Please either apply by clicking online or emailing me directly at chelsea.hackett@searchability.com. By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS: Python, ETL, SAS, SQL Server, Linux OS, Windows.
Locations
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. Being knowledgeable about current technologies and methodologies will not only boost your confidence but also impress the hiring team during any discussions.
✨Tip Number 2
Network with professionals in the financial sector, especially those who work with data warehousing. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights into the company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data solutions or improved processes. Highlighting your hands-on experience with tools like SAS and Oracle will demonstrate your capability to lead the team effectively.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing your experiences. The ability to convey complex data concepts in an understandable way is crucial for a managerial role, so practice articulating your thoughts.
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 relevant 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 implementing process automation solutions.
Highlight Relevant Skills: In your application, emphasise your analytical and problem-solving skills, as well as your ability to communicate effectively. These are crucial for collaborating with various departments as mentioned in the job description.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is essential 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 that improved data processes or reporting capabilities.
✨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, showcasing your ability to collaborate across departments.
✨Understand the Company’s Vision
Research the financial organisation and its approach to data management. Understanding their goals and how your role as a Data Warehousing Manager fits into their strategy will help you align your answers with their expectations during the interview.
