Business Intelligence Analyst (H/F)
Location: United States
Employment Type: Full-Time
Job Summary
We are seeking a highly analytical and detail-oriented Business Intelligence (BI) Analyst (H/F) to transform data into actionable insights that drive strategic business decisions. The ideal candidate will design and maintain BI solutions, develop dashboards and reports, and collaborate with business stakeholders to improve performance, optimize processes, and support data-driven decision-making.
Key Responsibilities
• Develop, maintain, and optimize dashboards, reports, and visualizations using BI tools such as Power BI, Tableau, or Looker.
• Collect, clean, and analyze data from multiple sources to provide actionable insights.
• Work closely with business stakeholders to understand reporting requirements and key business metrics.
• Monitor KPIs, track trends, and highlight opportunities for business improvement.
• Translate complex datasets into clear, concise, and actionable business insights.
• Support data governance, data quality, and consistency across reporting platforms.
• Perform ad hoc analyses and prepare reports for management and cross-functional teams.
• Document analytical methods, reporting processes, and BI solutions.
• Collaborate with IT and data engineering teams to improve data infrastructure and accessibility.
Required Qualifications
• Bachelor’s degree in Business Analytics, Data Analytics, Computer Science, Information Systems, Statistics, or a related field.
• 2+ years of experience in business intelligence, data analysis, or a related analytical role.
• Proficiency in BI and reporting tools such as Power BI, Tableau, Looker, or Qlik.
• Strong SQL skills for data extraction and analysis.
• Advanced Microsoft Excel skills, including PivotTables, formulas, and data modeling.
• Strong analytical, problem-solving, and critical-thinking abilities.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects and deadlines.
Preferred Qualifications
• Experience with data warehousing, ETL processes, and cloud platforms (AWS, Azure, Google Cloud).
• Knowledge of statistical analysis, predictive modeling, or data science concepts.
• Familiarity with Python or R for data analysis and automation.
• Experience in a corporate or consulting environment supporting strategic business decisions.
• Relevant certifications in business intelligence, analytics, or data visualization.
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