Spreadex
Business Intelligence (Business)
Mission Statement
To provide all other Spreadex departments with the best possible business information and business-specific tools that they need, to help them achieve their goals and carry out their responsibilities to the highest standards.
Get Your Questions Answered
-
Business Intelligence (Business) (BI-BOM) at Spreadex is the team responsible for building and maintaining the applications which support various internal departments such as marketing, compliance, and back office. These systems help streamline business operations, improve decision-making, and ensure the company runs efficiently across all departments.
-
An Analyst Developer works at the intersection of software development and business operations. They analyse business requirements and turn them into technical solutions—such as reports or internal applications—primarily using C# and SQL. They also collaborate with other teams to understand their needs and develop tools to improve day-to-day workflows and decision-making.
-
Key skills include:
- Proficiency in C#
- Knowledge of SQL and relational databases
- Strong analytical thinking and problem-solving
- Ability to communicate complex ideas clearly
- A proactive attitude and a desire to learn
- Understanding of how different business functions operate
-
The Business team operates in a collaborative and fast-paced environment. Team members are encouraged to share ideas and take initiative in developing creative and efficient solutions. Open communication and cross-department collaboration are key aspects of the day-to-day work.
-
No prior experience in compliance or marketing is required. What matters most is your technical aptitude, willingness to learn about the business, and your ability to solve problems using code and logic. We provide training and support to help you understand the domain-specific aspects.
-
Yes. The BI team embraces modern development tools and AI-assisted workflows. In addition to using GitHub Copilot to enhance coding efficiency, the team also has opportunities to work with industry-standard Large Language Models (LLMs) such as those provided by OpenAI and Google Gemini, accessed via platforms like OpenRouter. This enables experimentation with leading AI technologies and evaluation of their potential for integration into internal tools and business processes. This allows the team to experiment with and evaluate different LLMs for potential integration into internal systems.
Whether it’s using AI to automate reporting, assist in data transformation, or prototype natural language interfaces for internal tools, there is growing scope to explore how LLMs can enhance both technical development and business operations.