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- Tasks: Lead a data-focused team to enhance reporting and analytics capabilities.
- Company: Join a leading financial organisation dedicated to empowering clients with sustainable solutions.
- Benefits: Enjoy hybrid working, generous holidays, training sponsorship, and discounted gym memberships.
- Why this job: Be part of a tech-driven environment transforming data capabilities while collaborating across departments.
- Qualifications: 3-5 years in data warehousing, knowledge of SAS, Oracle, Python, and strong analytical skills required.
- Other info: This role offers a competitive salary up to £60,000 and an annual bonus scheme.
The predicted salary is between 43200 - 72000 £ per year.
Opportunity for a Data Warehousing Manager 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.
- Training Sponsorship.
- Company social events.
- Pension Contribution.
- Life Insurance.
- Flexible Working.
- Discounted Gym Membership.
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.
Please either apply by clicking online or emailing me directly.
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. Being able to discuss recent advancements or tools during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the data warehousing community, especially those who work in financial organisations. Engaging in conversations on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to showcase your experience with SAS software and Oracle databases. Be ready to discuss specific projects where you utilised these technologies, as this will highlight your hands-on expertise.
✨Tip Number 4
Understand the company's focus on collaboration and process automation. Think of examples from your past roles where you successfully worked across departments or implemented automation solutions, as this aligns with their goals.
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 software, Oracle databases, and Python to demonstrate your relevant skills.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data management and your understanding of the role. Mention how your previous experiences align with the responsibilities of the Data Warehousing Manager position.
Highlight Relevant Skills: In your application, emphasise your analytical and problem-solving skills. Discuss your familiarity with change and release management processes, as well as your ability to work with both Windows and Linux operating systems.
Follow Application Instructions: Ensure you follow the application instructions carefully. If applying online, double-check that all required documents are uploaded correctly. If emailing, make sure to address Chelsea Hackett directly and include all necessary information.
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 any relevant software like SAS and Oracle. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. This role requires strong analytical skills, so showcasing your problem-solving process will impress the interviewers.
✨Understand the Company’s Vision
Research the financial organisation and its goals, especially regarding their data capabilities. Showing that you understand their mission and how you can contribute to their transformation will set you apart.
✨Prepare for Collaboration Questions
Since the role involves working with various departments, be ready to discuss your experience in cross-functional teams. Highlight instances where you've successfully collaborated to implement process automation solutions.
