Senior Business Intelligence Analyst
5 days ago
We are a leading consulting firm that helps businesses drive growth and innovation through data-driven decision making.
Job SummaryWe are seeking a highly skilled Senior Reporting and Analytics Engineer to join our team. As a key member of our data analytics team, you will play a critical role in designing, developing, and implementing robust reporting and analytics solutions using AWS QuickSight and Tableau.
Key Responsibilities- Translate business requirements into actionable data visualizations, ensuring that stakeholders have the insights they need to make informed decisions.
- Design, develop, and maintain complex reports and dashboards using AWS QuickSight and Tableau, leveraging your expertise in data visualization and business intelligence.
- Develop and implement data pipelines for efficient extraction, transformation, and loading (ETL), ensuring that data is accurate, complete, and consistent.
- Write clean, efficient, and maintainable SQL queries to extract data from various sources, utilizing your expertise in data querying and manipulation.
- Ensure data accuracy and consistency through data quality checks and cleansing processes, maintaining the highest standards of data integrity.
- Collaborate with data engineers and scientists to ensure a seamless flow of data insights, driving business outcomes and growth.
- Stay up-to-date on the latest trends and best practices in business intelligence (BI) and data visualization, applying your knowledge to drive innovation and improvement.
- Document and maintain reporting processes for future reference, ensuring that knowledge is captured and shared across the team.
- Present complex data findings to stakeholders clearly and concisely, communicating insights and recommendations effectively.
- 5+ years of experience as a Business Intelligence Analyst, Data Analyst, or related role, with a proven track record of delivering high-quality results.
- Proven experience with AWS QuickSight and Tableau, with a strong understanding of data visualization and business intelligence principles.
- Strong SQL skills for data querying, manipulation, and transformation, with the ability to write efficient and maintainable queries.
- Experience with data warehousing concepts (e.g., AWS Redshift) is a plus, as is familiarity with ETL tools and data pipeline development (e.g., AWS Glue).
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Ability to work independently and manage multiple projects simultaneously, with a strong attention to detail and commitment to data quality.
- Bonus points for experience with data governance and security best practices, as well as proficiency in Python, R, or other statistical programming languages.
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