Business Intelligence Analyst (m/f/d)

at  CoreTylynt

WHO WE ARE

Founded in 2021, our company operates a pioneering marketplace that redefines one of the largest supply chains in the world. Our mission is to unlock the vast potential of cross-border supply for the Western Market by providing global access to high-quality products through our innovative platform. Since our launch in January 2022, we have operated discreetly, successfully serving hundreds of companies without a public profile or media coverage. We cater to both major industry players and mid-sized companies, utilising a cutting-edge technology platform that is experiencing rapid growth. Having secured substantial capital from top-tier VCs, Unicorn and Decacorn founders, and industry experts through various funding rounds, we are well-funded and expanding our team.
The Tech team allows you to work alongside a group of highly ambitious and knowledgeable professionals while tackling complex data-centric problems.

• Data Modelling & Analysis: Develop and maintain the company’s BI structure and conduct in-depth analysis to extract meaningful insights and trends. Create dashboards reports and visualisations that support business decision-making processes.
• Stakeholder Collaboration: Work closely with stakeholders across various departments to understand their data needs and deliver actionable intelligence. Translate business requirements into technical specifications for data reporting and analysis.
• Performance Monitoring: Monitor key performance indicators (KPIs) and develop metrics to track the performance of various business processes. Provide regular performance updates and insights to senior management and other stakeholders.
• Data Quality Assurance: Ensure the accuracy, consistency, and integrity of data used for analysis and reporting. Develop and implement data validation and cleansing processes to maintain high data quality standards.
• Market and Customer Insights: Analyse market trends and customer behaviour to identify opportunities for business growth and optimization. Provide insights into customer segmentation, buying patterns, and product performance.
• Tool and System Management: Utilise BI tools and platforms (such as Tableau, Power BI, and Databricks) to manage and analyse data. Continuously improve and optimise the BI infrastructure and reporting capabilities.
• Innovation and Best Practices: Stay current with industry trends and best practices in business intelligence and data analytics. Implement innovative solutions to improve data analysis and reporting processes.