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.