Senior Data Warehouse & Analytics Consultant

AlBorg Diagnostics; Jeddah; On-site; SAR 200,000 - 300,000; Full time

Job summary

A leading diagnostics company in Jeddah is looking for a highly skilled Senior Data Warehouse & Analytics Consultant. The ideal candidate has over 10 years of experience in data warehousing and analytics, with strong expertise in Power BI. Responsibilities include leading data warehouse design, managing ETL processes, and providing actionable insights through data analysis. Candidates should possess strong communication skills and relevant certifications.

Qualifications

• Minimum of 10 years of experience in data warehousing, data analytics, and Power BI.
• Proficiency in SQL, ETL tools, data modeling, and data warehousing concepts.
• Strong expertise in Power BI for data visualization.
• Excellent analytical and problem-solving skills.
• Proven experience in managing large-scale data projects.
• Strong communication and interpersonal skills.
• Relevant certifications in data warehousing, data analytics, and Power BI are highly desirable.

Responsibilities

• Lead the design, implementation, and management of data warehouses.
• Develop and manage ETL processes for efficient data flow.
• Perform advanced data analysis to identify trends and insights.
• Design and develop interactive dashboards and reports using Power BI.
• Collaborate with stakeholders to understand data requirements.
• Optimize data warehouse performance and troubleshoot issues.
• Maintain comprehensive documentation of architecture and processes.
• Provide training and support to end-users.

Skills

SQL

ETL tools

Data modeling

Power BI

Analytical skills

Project management

Communication

Tools

Azure

AWS

Google Cloud

Hadoop

Spark

Tableau

QlikView

Job description

Job Description

We are looking for a highly skilled Senior Data Warehouse & Analytics Consultant with extensive experience in data warehousing, data analytics, and Power BI. The ideal candidate will have a proven track record of designing, implementing, and managing data solutions that drive business insights and decision-making.

Key Responsibilities

• Data Warehouse Design & Management: Lead the design, implementation, and management of data warehouses, ensuring data integrity, quality, and security.
• ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes to ensure efficient data flow from various sources into the data warehouse.
• Data Analytics: Perform advanced data analysis to identify trends, patterns, and insights that support business objectives.
• Power BI Development: Design and develop interactive dashboards and reports using Power BI to visualize data and provide actionable insights.
• Collaboration: Work closely with business stakeholders, data analysts, and IT teams to understand data requirements and deliver effective solutions.
• Performance Tuning: Optimize data warehouse performance and troubleshoot any issues to ensure smooth operation.
• Documentation: Maintain comprehensive documentation of data warehouse architecture, ETL processes, and analytics solutions.
• Training & Support: Provide training and support to end-users on data analytics tools and best practices.

Qualifications

• Experience: Minimum of 10 years of experience in data warehousing, data analytics, and Power BI.
• Technical Skills: Proficiency in SQL, ETL tools, data modeling, and data warehousing concepts. Strong expertise in Power BI for data visualization.
• Analytical Skills: Excellent analytical and problem-solving skills, with the ability to translate complex data into meaningful insights.
• Project Management: Proven experience in managing large-scale data projects from inception to completion.
• Communication: Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.
• Certifications: Relevant certifications in data warehousing, data analytics, and Power BI are highly desirable.

Preferred Skills

• Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
• Knowledge of big data technologies and tools (e.g., Hadoop, Spark).
• Familiarity with other BI tools like Tableau or QlikView.
• Ability to mentor and guide junior data professionals.