Business Intelligence Analyst II
About the role
The Business Intelligence Analyst supports data-driven decision-making by analyzing complex business problems, identifying trends, and translating data into clear insights for non-technical leaders. This role develops reporting requirements, builds analytical solutions, and partners with internal teams to deliver accurate, meaningful information. The analyst contributes to process improvements, supports project execution, and applies BI best practices across data management, analysis, and visualization.
Responsibilities
- Analyze business problems using internal and external data to identify trends, patterns, and key drivers.
- Translate business needs into reporting specifications and develop solutions for presenting information clearly and effectively.
- Build and maintain queries, reports, and dashboards to support projects and operational decision-making.
- Partner with internal teams to research and resolve data-related inquiries of moderate complexity.
- Contribute to continuous improvement efforts, including process enhancements, team knowledge-sharing, and best-practice development.
Requirements
- You’ll need a high school diploma or equivalent.
- A bachelor’s degree in a relevant field is preferred.
- Minimum of 2 years of experience in data analysis, business intelligence, or a related field.
- Strong proficiency in Microsoft Excel.
- Basic to moderate experience developing SQL queries and procedures.
- Foundation understanding of reporting automation and data modeling concepts.
- Experience with R, Python, Azure, or similar analytical tools.
- Familiarity with data visualization tools such as Power BI or DAX Studio.
- Working knowledge of Agile or Lean methodologies.
- Ability to apply data quality concepts to ensure accuracy and consistency.
Qualifications
- Educational requirements: High school diploma or equivalent required. B.A. preferred.
- Experience requirements: Minimum of 2 years of experience in data analysis, business intelligence, or a related field.
- Skills requirements: Strong proficiency in Microsoft Excel, basic to moderate experience developing SQL queries and procedures, foundational understanding of reporting automation and data modeling concepts, experience with R, Python, Azure, or similar analytical tools, familiarity with data visualization tools such as Power BI or DAX Studio, working knowledge of Agile or Lean methodologies, ability to apply data quality concepts to ensure accuracy and consistency.
Skills
- Adaptability: Adjusts quickly to changing priorities and sees possibilities in evolving circumstances.
- Collaboration: Builds strong working relationships and partners effectively across teams.
- Analytical Thinking: Uses sound reasoning to evaluate alternatives, solve problems, and develop new approaches.
Benefits
Our rich benefits package includes medical, dental, vision, and a 401(k) plan with matching company contributions. We also offer an annual incentive bonus plan, generous paid time off, including 11 holidays, 2 wellness days, and 8 volunteer hours annually, PTO increases with tenure, a supportive, responsive management approach, and opportunities for career growth and advancement. We provide paid parental leave and adoption/surrogacy assistance, an employee giving program that doubles matches your donations to eligible nonprofits and schools, and more.
Pay
The actual compensation for this role will be based on a combination of education and experience, knowledge and skills, position budget, internal equity, and market data. Salary Range: $66,000.00 - $111,750.00
Schedule
Positions will be posted for at least 5 days from original posting date.