Data-Driven Business Analyst – Hybrid (Sioux Falls)

Top Talent Connections; Sioux Falls (SD); On-site; USD 65,000 - 90,000; Full time

Job summary

Top Talent Connections is seeking a Business Analyst in Sioux Falls, SD to join the Business Analytics team. In-office for the first six months with potential for hybrid thereafter.

You will build and maintain recurring reports, conduct analyses, monitor experiments, and translate data into actionable insights for stakeholders. The role emphasizes data integrity, cross-functional collaboration, and clear communication of results to both technical and non-technical audiences.

Qualifications

• Bachelor's degree in a related field.
• Strong Excel and data analysis fundamentals.
• Knowledge of data quality principles.
• Experience with SQL, Python, R, Tableau, or Power BI preferred.
• Ability to communicate insights clearly to diverse audiences.
• Detail-oriented with strong analytical and organizational skills.
• Experience in reporting and analytics to support decision-making.

Responsibilities

• Build, maintain, and update recurring reports monitoring key metrics.
• Conduct ad hoc analyses, summarize findings, and provide actionable insights.
• Monitor A/B tests and changes to evaluate performance.
• Gather, organize, and interpret data using established tools.
• Collaborate with stakeholders to define reporting needs.
• Communicate findings to technical and non-technical audiences.
• Perform data quality checks to ensure integrity.
• Develop expertise in company data sources and reporting platforms.

Skills

Excel

Data analysis

Data quality

Communication

Problem solving

Multi-priority management

Education

Bachelor's degree

Tools

Tableau

Power BI

SQL

Python

R

Job description

Top Talent Connections is seeking a Business Analyst in Sioux Falls, SD to join the Business Analytics team. In-office for the first six months with potential for hybrid thereafter.

You will build and maintain recurring reports, conduct analyses, monitor experiments, and translate data into actionable insights for stakeholders. The role emphasizes data integrity, cross-functional collaboration, and clear communication of results to both technical and non-technical audiences.