Business Intelligence Analyst
No Limit Staffing, Inc.
The Business Intelligence Analyst is responsible for designing, developing, and maintaining data solutions that support business operations and strategic decision-making. Transforming complex data from multiple sources into meaningful insights, reports, dashboards, and performance metrics. The Business Intelligence Analyst works closely with business stakeholders to understand reporting requirements, ensure data integrity, identify trends, and provide actionable recommendations through advanced analytics, data modeling, and visualization techniques.
Requirements
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Administration, or a related field; or equivalent combination of education and experience.
- Advanced proficiency in SQL and database querying.
- Experience utilizing Python, R, or similar scripting languages for data analysis and automation.
- Advanced Microsoft Excel skills, including complex formulas, pivot tables, lookups, data manipulation, and reporting automation.
- Experience developing dashboards and data visualizations using Power BI, Tableau, Domo or similar BI tools.
- Experience working with large, complex datasets from multiple sources.
- Strong analytical and critical-thinking skills with the ability to transform complex data into actionable business insights.
- Knowledge of data modeling, data warehousing concepts, and database structures.
- Ability to identify trends, patterns, anomalies, and opportunities within large datasets.
- Excellent written and verbal communication skills with the ability to present technical information to both technical and non-technical audiences.
- Strong problem-solving and troubleshooting abilities.
- Resourceful and innovative in diagnosing and resolving technical and business challenges.
- Ability to manage multiple priorities and projects while maintaining attention to detail and accuracy.
- Strong collaboration skills with the ability to build effective relationships across departments and organizational levels
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