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For Companies At a Glance
- Tasks: Lead data warehouse operations and manage a dynamic data team.
- Company: Join a forward-thinking organization focused on impactful data analysis in healthcare.
- Benefits: Enjoy remote work flexibility with travel expenses covered for occasional meetings.
- Why this job: Be a key player in transforming data capabilities and driving organizational success.
- Qualifications: Degree or equivalent experience; strong knowledge of Microsoft BI tools and data warehousing principles.
- Other info: Exciting opportunity for a visionary data professional ready to make an impact.
Data Warehouse Manager
Location: Remote (occasional in-person meetings, travel expenses covered)
Salary: £55,000 – £60,000 per annum (pro rata)
Hours: Full-time, 37.5 hours per week
Reports to: Head of IT
Contract: Inside IR35
About the Role
We are seeking an experienced Data Warehouse Manager to lead our data warehouse operations and data team, which includes roles such as BI Analysts, Data Engineers, and Power BI Gateway specialists. This position has been re-established to support a team restructure and address current operational needs due to a recent managerial resignation.
This hands-on role will be pivotal in designing and developing our data warehouse, enhancing data interoperability, and ensuring reliable data structures for impactful data analysis and reporting. You’ll also lead our transition to cloud-based data capabilities, focusing on high-quality data management to support decision-making within our healthcare centers and workforce.
Key Responsibilities
- Leadership & Team Management: Oversee the day-to-day operations of the Data Team, including BI Development, Data Engineering, and Information Systems.
- Data Development: Design, build, and manage dimensionally modeled data warehouses, ETL routines, and integrations for data exchange.
- Power BI & Reporting: Lead dashboard and report development, empowering stakeholders with accurate data insights.
- Project Leadership: Act as a technical lead on data warehouse projects, including a new cloud-based data warehouse implementation aligned with our data strategy.
- Data Governance & Collaboration: Establish data standards, work with cross-functional teams, and maintain data governance practices.
- Documentation: Produce and maintain clear documentation for system developments, project specifications, data flows, and data dictionaries.
Requirements
- Education: Degree in a relevant field or equivalent experience.
- Experience:
- Strong knowledge of Microsoft BI tools (Power BI, SSIS, SSAS, SSRS).
- Expertise in Power BI development, SQL, and Data Warehousing principles.
- Proven experience with Microsoft Azure data capabilities, SQL Server, and T-SQL.
- Experience in matrix management environments and cross-functional collaboration.
- Skills:
- Exceptional communication and relationship management abilities.
- High attention to detail and problem-solving skills.
- Customer-centric approach with a focus on creating actionable data insights.
- Ability to explain complex data concepts to non-technical audiences.
Additional Details
- Work Environment: Remote, with occasional travel for meetings.
- Flexibility: Willing to work outside standard hours as needed.
- Driving License: Full driving license and access to a vehicle for business travel.
This is an exciting opportunity for a visionary data professional passionate about harnessing data to drive organizational success. If you re ready to take on a leading role within a supportive team, we d love to discuss the details with you.
Apply Now to join us in shaping the future of our data capabilities!
COM1
Data Warehouse Manager employer: RE People
Contact Detail:
RE People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Manager
✨Tip Number 1
Familiarize yourself with Microsoft BI tools, especially Power BI, SSIS, SSAS, and SSRS. Being able to demonstrate your expertise in these tools during discussions will set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with cloud-based data solutions, particularly Microsoft Azure. Discussing specific projects where you've implemented or managed cloud data capabilities can showcase your readiness for this role.
✨Tip Number 3
Prepare to discuss your leadership style and experiences in managing cross-functional teams. Sharing examples of how you've successfully led data projects or initiatives will demonstrate your capability to oversee the Data Team effectively.
✨Tip Number 4
Be ready to explain complex data concepts in simple terms. Since the role requires communicating with non-technical stakeholders, showcasing your ability to bridge that gap will be a significant advantage.
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 with Microsoft BI tools, SQL, and data warehousing principles. Emphasize any leadership roles you've held, especially in matrix management environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data management and your vision for leading a data team. Mention specific projects or achievements that demonstrate your expertise in cloud-based data capabilities and Power BI development.
Showcase Communication Skills: Since the role requires explaining complex data concepts to non-technical audiences, include examples in your application that showcase your exceptional communication and relationship management abilities.
Highlight Problem-Solving Abilities: Provide examples of how you've tackled challenges in previous roles, particularly in data governance and collaboration. This will demonstrate your high attention to detail and customer-centric approach.
How to prepare for a job interview at RE People
✨Showcase Your Leadership Skills
As a Data Warehouse Manager, you'll be overseeing a team. Be prepared to discuss your leadership style and provide examples of how you've successfully managed teams in the past, especially in matrix management environments.
✨Demonstrate Technical Expertise
Make sure to highlight your experience with Microsoft BI tools and cloud-based data capabilities. Be ready to discuss specific projects where you utilized Power BI, SQL, and data warehousing principles to achieve impactful results.
✨Communicate Clearly
Given the need to explain complex data concepts to non-technical audiences, practice articulating your thoughts clearly. Use simple language to describe your past projects and how they benefited stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and attention to detail. Prepare scenarios where you had to overcome challenges in data management or governance, and explain your thought process and outcomes.
