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For Companies At a Glance
- Tasks: Manage data pipelines, develop reports, and ensure data integrity in a dynamic environment.
- Company: Join a leading social network focused on innovative data solutions and analytics.
- Benefits: Enjoy flexible working options, professional development opportunities, and a vibrant team culture.
- Why this job: Be at the forefront of data engineering, making impactful decisions in a fast-paced industry.
- Qualifications: Experience with SQL, Python, and Microsoft BI tools is essential; a passion for data is a must.
- Other info: Opportunity to work closely with business functions and influence data-driven strategies.
The predicted salary is between 36000 - 60000 £ per year.
Solid hands-on experience with Microsoft Technology Stack (2022).
Extensive experience of SQL/data warehousing.
Proven experience of data engineering activities such as release management, environment controls, CICD pipeline orchestration.
Experience working with Python and Power BI.
Proven ability of Microsoft BI software development including database/reporting development, full development cycle.
Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach.
The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions.
The ability to design and develop complex BI/MI solutions in line with agreed architectural principles and toolsets.
Capable of working closely with the business and delivering complex requirements to tight timescales.
Strong interest in latest data engineering technologies, best practices, techniques and trends in the data industry.
Required Toolsets:
- Kimball data modelling
- Microsoft SQL Server
- Python, MDX, DAX
Responsibilities:
- Supporting the Head of Data and Analytics and the wider business to build and deliver components of an enterprise data management platform for WRBU, utilizing Microsoft Technology stack for data ingestion, transformation & storage, and Power BI for analytics and reporting.
- Acting as a Subject Matter Expert in Data, managing ETL/ELT pipelines, peer/code reviews, ensuring data integrity and accuracy.
- Managing data warehousing solutions, designing and developing ETL/ELT processes, data lakes, data marts, reports, and dashboards.
- Developing and maintaining Management Information, gathering requirements, developing reports, and supporting their deployment.
- Developing validation checks for data entry based on business rules, ensuring compliance with Solvency II, Sox, and business needs.
- Supporting data governance policies, managing data in line with regulatory requirements, and ensuring transparency of progress.
- Processing market messages and resolving issues efficiently.
- Reviewing project requirements, developing data solutions, and supporting project lifecycle activities.
Data Manager (BI) employer: Berkley
Contact Detail:
Berkley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager (BI)
✨Tip Number 1
Familiarise yourself with the Microsoft Technology Stack, especially the latest 2022 updates. This will not only help you understand the tools better but also show your commitment to staying current in the field.
✨Tip Number 2
Engage with online communities or forums related to SQL and data warehousing. Networking with professionals in these spaces can provide insights into best practices and may even lead to referrals.
✨Tip Number 3
Consider creating a portfolio showcasing your experience with Python and Power BI. Demonstrating your ability to develop complex BI solutions can set you apart from other candidates.
✨Tip Number 4
Stay updated on the latest trends in data engineering technologies. Being able to discuss recent advancements during interviews can highlight your passion for the industry and your proactive approach to learning.
We think you need these skills to ace Data Manager (BI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with the Microsoft Technology Stack, SQL, and data warehousing. Use specific examples to demonstrate your skills in data engineering and BI software development.
Craft a Compelling Cover Letter: In your cover letter, express your strong interest in the latest data engineering technologies and how your background aligns with the responsibilities of the Data Manager role. Mention your ability to work closely with business functions and deliver complex requirements.
Showcase Relevant Projects: Include details about any relevant projects you've worked on that involved ETL/ELT processes, data validation, or MI development. Highlight your problem-solving skills and attention to detail in these projects.
Prepare for Technical Questions: Be ready to discuss your experience with Python, Power BI, and data modelling techniques like Kimball. Prepare examples of how you've designed and developed BI solutions in the past, as this will likely come up during the interview process.
How to prepare for a job interview at Berkley
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with the Microsoft Technology Stack, SQL, and data warehousing. Be prepared to discuss specific projects where you utilised these skills, especially in relation to BI software development.
✨Demonstrate Problem-Solving Abilities
Prepare examples that showcase your strong data modelling and problem-solving skills. Discuss how you've tackled complex data challenges in the past and the impact of your solutions on the business.
✨Communicate Effectively with Business Functions
Since the role requires direct interaction with business functions, practice explaining technical concepts in simple terms. Show that you can interpret business needs into successful data and analytics solutions.
✨Stay Updated on Industry Trends
Express your interest in the latest data engineering technologies and best practices. Mention any recent trends or tools you've explored, as this shows your commitment to continuous learning and improvement in the field.
