Application Engineer-Application Development-Business Intelligence
About the role
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.