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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 transformative journey in data warehousing within a tech-driven environment.
- Qualifications: 3-5 years in data warehousing, knowledge of SAS, Oracle, and Python required.
- Other info: Mid-senior level role with full-time employment in Chester, England.
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. 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.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Management
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 specific data warehousing tools and technologies mentioned in the job description, such as SAS software and Oracle databases. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the data warehousing field, especially those who work in financial organisations. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your experience with process automation solutions and how you've implemented them in previous roles. This is a key focus for the position, so showcasing your ability to drive transformation will demonstrate your fit for the role.
✨Tip Number 4
Research the company's approach to diversity and inclusion, particularly in the context of women in the workplace. Being able to articulate how you align with their values can make a strong impression during interviews.
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 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 focus on modernising data capabilities and your ability to lead a data-focused team.
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 improved reporting consistency, as these are key aspects of the job.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a managerial role in data warehousing.
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 successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. This could include instances where you improved processes or resolved issues within a data environment, showcasing your analytical skills.
✨Understand the Company’s Vision
Research the financial organisation's goals and how they plan to modernise their data capabilities. Showing that you understand their direction will demonstrate your genuine interest in the role and how you can contribute.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, especially since the role involves working with various departments. Think of examples that illustrate your ability to lead a team and drive transformation in a technology-driven environment.
