Senior Data Analyst — Data Insights & Visualization

Dayton Roger's; North Carolina; On-site; USD 95,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Growth opportunities

Collaborative work environment

Access to latest data tools

Diversity and inclusion

Job summary

Dayton Roger's Contract is seeking a Senior Data Analyst to translate complex datasets into actionable insights for clients. This full-time, on-site role at our Dayton headquarters offers growth and collaboration with cross-functional teams.

You will analyze data, develop databases, and create visualizations using SQL, Excel, Tableau, and Power BI, with emphasis on data quality and business impact.

Qualifications

• Bachelor's degree in data-related field.
• 5+ years of data analysis experience, preferably in business/consulting.
• Proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI).
• Experience with statistical analysis and predictive modeling.
• Strong analytical and presentation skills.

Responsibilities

• Collect, organize, and analyze large data sets from various sources.
• Develop and maintain databases and data systems.
• Identify trends and patterns to inform business decisions.
• Create reports and visualizations to communicate findings.
• Collaborate with cross-functional teams to develop data-driven strategies.
• Continuously monitor and improve data quality and integrity.
• Stay up-to-date with industry trends and best practices.

Skills

SQL

Excel

Tableau

Power BI

Statistical analysis

Predictive modeling

Education

Bachelor's degree in Data Science/Statistics/Mathematics

Tools

Tableau

Power BI

Job description

Dayton Roger's Contract is seeking a Senior Data Analyst to translate complex datasets into actionable insights for clients. This full-time, on-site role at our Dayton headquarters offers growth and collaboration with cross-functional teams.

You will analyze data, develop databases, and create visualizations using SQL, Excel, Tableau, and Power BI, with emphasis on data quality and business impact.