Business Intelligence Specialist

Gizli Firma

Qualifications:

• Graduated from Engineering department (preferably computer engineering) of a reputable university,
• 2+ years of working experience in the field of Data Management and/or  Business Intelligence,
• Having experience in agile frameworks
• Being familiar with fundamental concepts such as Data Warehousing, Data Lake, Data Integration, Conceptual/Logical/Physical Data Modeling, Self Service BI, Visual Analytics, Data Governance, Data Quality, Regulatory Reporting etc,
• Having database technology knowledge (Preferably Microsoft SQL Server and Postgresql)
• Being familiar with complex SQL queries, and experience in editing & optimization of complex SQL queries,
• Being familiar with Power BI, Power Query, Dax,
• Being familiar with Report Builder,
• Having Logical and Physical Data Modeling knowledge on both Dimensional Models and ER Models,
• Being familiar with ETL Tools (Preferably SSIS),
• Being familiar with OLAP Cubes and SSAS,
• Experience in Python or R is a plus,
• Presents both technical & business approach at the same time and applies critical problem solving techniques.
• Male candidates need to complete or postpone military services for min. 2 years.

Job Description:

• Working on complex, sector and department-wide business intelligence solutions,
• Assessing current technical environment, governance policies and procedures to make recommendations and provide best practices,
• Working closely with the business users to understand customer’s strategy, data needs and providing subject matter expertise,
• Empowering business users to gain self-service capabilities with less IT support while deep diving into data,
• Analyzing business processes and source system data to identify data quality issues and gaps between the business requirement and the data,
• Reporting data quality issues to both data owners and technical responsibles,
• Refining business requirements through collaboration with business users and IT stakeholders,
• Building a prototype using SQL to visualise business needs,
• Building Data Warehouse and Datamart Models on data modeling tools,
• Designing data manipulation jobs and data quality procedures.
• Apply analytic database & reporting technologies into customer’s needs & strategies in business intelligence & data analytics.