Senior Data Analyst: Insights, Modeling & Dashboards

Dayton Roger's; United States; On-site; USD 95,000 - 135,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, vision insurance

401(k) retirement plan with company 3%

Job summary

Dayton Roger's is seeking a Senior Data Analyst to join our team on a full-time basis. The role focuses on analyzing data, building predictive models, and creating dashboards to inform client decisions.

You will work with clients and internal teams to gather data, derive insights, and deliver actionable recommendations. Ideal candidates have 5+ years of data analysis experience, strong SQL and visualization skills, and excellent communication abilities.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, or related field.
• 5+ years of data analysis experience in business/consulting.
• Proficient in SQL and data visualization tools (Tableau/Power BI).
• Strong statistical knowledge and data mining skills.
• Excellent communication and presentation skills.

Responsibilities

• Analyze data from multiple sources to identify trends and insights.
• Develop and maintain statistical models to forecast outcomes.
• Create dashboards to communicate findings to stakeholders.
• Collaborate with cross-functional teams to meet business needs.
• Identify opportunities for process improvement and optimization.
• Monitor data quality and ensure accuracy and reliability.
• Stay current with data analysis trends and best practices.
• Mentor junior data analysts.

Skills

SQL

Data Viz

Python/R

Statistical modeling

Data mining

Communication

Independent work

Team collaboration

Education

Bachelor's degree

Tools

Tableau

Power BI

Python

R

SQL

Job description

Dayton Roger's is seeking a Senior Data Analyst to join our team on a full-time basis. The role focuses on analyzing data, building predictive models, and creating dashboards to inform client decisions.

You will work with clients and internal teams to gather data, derive insights, and deliver actionable recommendations. Ideal candidates have 5+ years of data analysis experience, strong SQL and visualization skills, and excellent communication abilities.