Sr. Business Intelligence Developer

Title: Sr. Business Intelligence DeveloperRole Overview:Seeking a Sr. Business Intelligence Developer who will be responsible for developing and refining IT solutions, including coding, testing, debugging, designing, and implementing business intelligence tools. This role requires expertise in data analysis, database management, and online analytical processing (OLAP). The BI Developer will research and plan solutions for existing challenges within the company while managing data sources and transforming raw data into meaningful insights. The ideal candidate will have 5-10 years of experience and a strong background in computer science, programming, and business intelligence technologies.Key Responsibilities:• Develop and fine-tune IT solutions for business intelligence applications.• Code, test, debug, design, and implement new BI tools.• Research and analyze existing business challenges, developing effective solutions.• Build and manage online analytical processing (OLAP) systems.• Work with relational and multidimensional databases to structure and optimize data.• Present data insights in a clear, understandable manner for technical and non-technical stakeholders.• Create and maintain BI reports, dashboards, and data visualizations.• Collaborate with cross-functional teams to ensure data integrity and accessibility.• May be responsible for managing other IT team members within the company.Qualifications:Bachelor’s degree in Computer Science, Information Systems, or a related field.5-10 years of experience in business intelligence development.Strong knowledge of database systems (relational and multidimensional).Experience with BI reporting tools (e.g., Power BI, Tableau, Looker).Expertise in SQL, data modeling, and ETL processes.Knowledge of OLAP and data warehousing concepts.Ability to analyze complex datasets and present findings in a clear, actionable format.Strong problem-solving skills and attention to detail.Preferred Skills:• Experience with cloud-based BI platforms (AWS, Azure, or Google Cloud).• Knowledge of big data technologies such as Hadoop, Spark, or Snowflake.• Familiarity with Python, R, or other scripting languages for data analysis.• Ability to simplify complex technical concepts for non-technical stakeholders.• Strong communication and leadership skills, with experience managing teams.