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.
- 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.