Application Engineer-Application Development-Business Intelligence

Responsibilities • Work closely with clients to understand their business objectives and challenges within the Sports & Media sectors. • Develop and maintain BI dashboards and reports using Tableau to communicate insights effectively. • Utilize SQL for data extraction, transformation, and analysis to support decision-making. • Collaborate to refine data models and reporting structures. • Apply strong analytical and problem-solving skills to interpret complex datasets and generate actionable recommendations. • Assist in improving data visualization and storytelling techniques to convey insights to non-technical stakeholders. • Support the development of efficient data pipelines and workflows. Responsibilities • Work closely with clients to understand their business objectives and challenges within the Sports & Media sectors. • Develop and maintain BI dashboards and reports using Tableau to communicate insights effectively. • Utilize SQL for data extraction, transformation, and analysis to support decision-making. • Collaborate to refine data models and reporting structures. • Apply strong analytical and problem-solving skills to interpret complex datasets and generate actionable recommendations. • Assist in improving data visualization and storytelling techniques to convey insights to non-technical stakeholders. • Support the development of efficient data pipelines and workflows. • Bachelor’s or Master’s degree in math, statistics, economics, computer engineering, business administration, or related analytics fields. • 3-4 years of experience in BI development, data analytics, or similar roles with min of 2 year of experience in BI tools. • Proficiency in Tableau for dashboard development and data visualization. • Strong expertise in SQL for data querying and manipulation. • Basic experience with Python for data analysis (preferred). • Excellent communication and stakeholder management skills, with the ability to present insights clearly to technical and non-technical audiences. • Problem-solving mindset with the ability to leverage data analytics to solve business challenges.