SQL Developer

Responsibilities

• Developing, deploying, and maintaining business intelligence solutions, including dashboards and reports.
• Creating and optimizing data models to support reporting and visualization needs.
• Collaborating with stakeholders to gather requirements and translate them into actionable insights.
• Working with data engineers to integrate data from various sources into the business intelligence data models.
• Ensuring data accuracy, consistency, and quality in all reporting outputs.
• Automating data extraction, transformation, and reporting processes where feasible.
• Analysis of data from various sources to ensure that the business acts proactively on the information at its disposal.
• Continually searching for new and useful ways to obtain, integrate and analyses data that is relevant to the companys business model.
• Debugging, monitoring and troubleshooting current solutions.
• Education of report end-users to ensure a maximum spread of expertise around the company.

• Undergraduate degree with majors in Information Systems / Mathematics / Statistics / Engineering, Finance or similar. Alternatively, at least 3 years' work experience in a business intelligence / engineering role will be considered. A relevant post-graduate degree will be a strong plus.
• Strong SQL Development skills and full Microsoft BI Stack knowledge (SSMS, SSIS, SSAS, SSRS).
• Experience working with large datasets and optimizing performance in business intelligence tools.
• Familiarity with ETL processes and data integration techniques.
• 3+ years experience in business intelligence tools such as Power BI or Tableau.
• Experience developing dashboards, reports and visualizations for business insights.
• Ability to gather and translate stakeholder requirements into technical solutions.
• Strong analytical and problem-solving skills.
• Exceptional attention to detail, ensuring high standards of quality in all outputs
• Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations.
• Experience with scripting languages such as Python or R for data analysis.
• Familiar with statistical testing techniques.