Senior Business Intelligence Analyst

Job Summary: The Senior Business Intelligence (BI) Analyst plays a crucial role in translating business needs into actionable insights. This role involves gathering, analyzing, and interpreting data to provide recommendations that drive strategic decision-making.

Duties and Responsibilities:
• Collaborate with stakeholders to understand business needs and translate them into specific data and reporting requirements.
• Identify, collect, and clean data from various sources (e.g., databases, CRM systems, web analytics) ensuring data accuracy and integrity.
• Contribute to the design and maintenance of data models and data warehouses, optimizing performance and scalability.
• Develop and maintain ETL (Extract, Transform, Load) processes to move data from source systems to the data warehouse.
• Conduct in-depth data analysis to identify trends, patterns, and insights that can inform business decisions.
• Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker) to visualize data and
communicate findings effectively
• Monitor the performance of BI solutions and identify areas for improvement.
• Documentation: Create and maintain documentation for data sources, ETL processes, reports, and dashboards.
• Effectively communicate findings and recommendations to stakeholders at all levels, including technical and non-technical audiences.
• Stay up-to-date with the latest BI trends, tools, and techniques.
• Mentor junior analysts and provide guidance on best practices.

Qualifications:
• Bachelor's degree in quantitative fields (e.g., Computer Science, Statistics, Mathematics, Business Analytics) or equivalent experience.

Experience
• 5-8 years of experience in business intelligence or data analysis.
• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques.
• Proficiency in SQL and experience working with relational databases.
• Experience with at least one BI visualization tool (e.g., Tableau, Power BI, Looker).
• Experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) is a plus.
• Experience with scripting languages (e.g., Python, R) is a plus.

Abilities, knowledge and skills
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to work independently and as part of a team.
• Knowledge of statistical methods and techniques is a plus.