What are the responsibilities and job description for the Business Intelligence Analyst II position at SoTalent?
Business Intelligence Analyst II
Location: Belton, Missouri, United States
Industry: Retail
Work Setting: Onsite
Are you passionate about transforming data into actionable business insights that drive operational excellence and strategic decision-making? We are looking for a Business Intelligence Analyst II to support reporting, analytics, and data product initiatives by delivering meaningful insights, developing impactful dashboards, and identifying opportunities for process and performance improvements.
Key Responsibilities
- Develop, maintain, and enhance operational reports, dashboards, and analytical solutions that support business performance monitoring.
- Translate business requirements into data-driven insights and actionable recommendations.
- Perform in-depth analyses to identify trends, root causes, risks, and opportunities for operational improvement.
- Partner with stakeholders to define metrics, reporting standards, and key performance indicators.
- Design and optimize data models, reporting structures, and data visualization solutions.
- Support the development and maintenance of ETL processes to ensure data quality and accessibility.
- Utilize statistical techniques and analytics methodologies to solve complex business challenges.
- Mentor and guide junior analysts while contributing to best practices in reporting and analytics.
Required Qualifications
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Data Analytics, Computer Science, Economics, Engineering, or a related discipline.
- 2-4 years of experience in business intelligence, data analytics, operations analytics, or a related role.
- Advanced proficiency in SQL for data extraction, transformation, and analysis.
- Strong experience with dashboard development, data visualization, and reporting tools such as Power BI, Tableau, or similar platforms.
- Knowledge of data modeling, ETL processes, and data warehousing concepts.
- Experience using Python and/or R for data analysis and automation.
- Strong understanding of statistical analysis techniques and data-driven decision-making.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience working with large datasets and complex business processes.
- Ability to independently manage multiple analytical projects and deliver actionable recommendations.
- Familiarity with KPI development, operational performance measurement, and process improvement initiatives.
- Experience collaborating with cross-functional business and technical teams.