Lead Business Intelligence Developer for Sports Betting
hace 2 semanas
Company Overview: Workfully is a pioneering decentralised hiring & upskilling marketplace. The company empowers the world's fastest growing and most innovative companies to hire & develop talent globally.
About Us: Our client is a forward-thinking, data-driven company specialising in sports betting micro-bets. We aim to transform raw data into actionable insights that drive decision-making across the business. As we continue to scale and optimise our operations, we are seeking a passionate Lead Business Intelligence Developer with a strong focus on Power BI to join our team.
The Role: The Lead Business Intelligence Developer will play a crucial role in the development, implementation, and maintenance of Business Intelligence (BI) solutions. The primary focus will be on building and maintaining Power BI reports and dashboards, transforming complex data into clear, actionable insights. This role requires close collaboration with stakeholders from various departments to ensure accurate data reporting, visualisation, and analysis.
Main Responsibilities:
- Power BI Report Development: Design, develop, and maintain visually appealing and dynamic Power BI dashboards and reports that meet business needs.
- Data Modelling: Assist in creating and optimising data models using Power BI, ensuring efficient and accurate data retrieval.
- Data Integration: Work with various data sources (SQL databases, Excel, APIs) to extract, transform, and load (ETL) data into Power BI for analysis.
- Data Visualisation: Collaborate with business users to translate business requirements into technical specifications and design intuitive, user-friendly data visualisations.
- Performance Optimisation: Troubleshoot and optimise Power BI dashboards for performance and efficiency.
Requirements:
- Education: Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent work experience).
- Power BI Expertise: Experience with Power BI, including DAX (Data Analysis Expressions) and M language (Power Query).
- Data Analysis: Strong analytical skills with a focus on data visualisation, pattern recognition, and problem-solving.
- SQL Skills: Basic proficiency in SQL for querying databases and preparing datasets for visualisation.
- Excel Proficiency: Strong skills in Excel, especially in data manipulation and pivot tables.
- Attention to Detail: Strong attention to detail with a focus on delivering high-quality, error-free reports and dashboards.
- Team Player: Excellent communication and collaboration skills, with the ability to work in a cross-functional team.
Salary: Estimated salary range $90,000 - $120,000 per annum, based on location and industry standards.
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