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.

Requirements
- 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.