Michael Page is one of the world’s leading professional recruitment consultancies, specializing in the placement of candidates in permanent, contract, temporary, and interim positions with clients around the world.
The Group has operations in the UK, Continental Europe, Asia-Pacific, and the Americas. In the Middle East, we focus on the following areas of:
Finance & Accounting Banking & Financial Services Procurement Property & Construction Engineering & Supply Chain Oil & Gas Technical and Engineering Human Resources Sales Marketing Technology Secretarial Executive Search Legal
The Group operates through 161 offices in 33 countries and employs over 5,000 employees worldwide.
Employment: Full Time
As a Business Intelligence Specialist, you will be instrumental in transforming raw data into meaningful insights and actionable intelligence.
You will design, implement, and manage our business intelligence tools and systems, primarily focusing on Power BI.
Client Details
A well-established and diversified organisation with a broad portfolio of businesses, driving innovation and growth across various sectors.
Description
- Design, develop, and maintain interactive Power BI dashboards and reports. Design and build robust ETL processes to integrate data from various sources.
- Optimise data models and query performance for high-performance data retrieval. Provide technical support for Power BI reports and dashboards.
- Collaborate with data analysts and stakeholders to ensure alignment with business objectives.
- Evaluate and recommend appropriate data technologies and tools.
- Contribute to data governance projects and ensure timely delivery.
- Manage data projects, timelines, and priorities.
Job Offer
- Competitive Salary.
- Opportunity to work with cutting-edge technologies within a centralized data team.
Requirements:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- Minimum of 8 years in Data Analytics with proficiency in Power BI.
- Strong analytical skills and understanding of data warehousing concepts. Experience with DAX and M language for Power Query.
Click Here to Apply
