Data Analyst

Staffing Spot, Inc.; United States; On-site; USD 65,000 - 90,000; Full time

Job summary

Staffing Spot, Inc. is seeking a detail-oriented Data Analyst to collect, process, and analyze data to support business decision-making. The ideal candidate will transform raw data into meaningful insights, create reports and dashboards, and collaborate with cross-functional teams to improve business performance.

You will work with SQL, Excel, and BI tools to uncover trends, deliver actionable recommendations, and ensure data accuracy and security across projects.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Strong knowledge of SQL, Microsoft Excel, and data visualization tools.
• Experience with Python or R for data analysis is preferred.
• Excellent analytical and problem‑solving skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team.

Responsibilities

• Collect, clean, and validate data from multiple sources.
• Analyze large datasets to identify trends, patterns, and opportunities.
• Develop reports, dashboards, and visualizations using tools such as Power BI, Tableau, or Excel.
• Write SQL queries to extract and manipulate data.
• Interpret data and present findings to stakeholders.
• Monitor key performance indicators (KPIs) and provide actionable recommendations.
• Collaborate with business teams to understand data requirements.
• Ensure data accuracy, integrity, and security.
• Support business planning and strategic decision-making through data-driven insights.

Job description

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to support business decision‑making. The ideal candidate will transform raw data into meaningful insights, create reports and dashboards, and collaborate with cross-functional teams to improve business performance.

Job Title

Data Analyst

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to support business decision‑making. The ideal candidate will transform raw data into meaningful insights, create reports and dashboards, and collaborate with cross-functional teams to improve business performance.

Key Responsibilities

• Collect, clean, and validate data from multiple sources.
• Analyze large datasets to identify trends, patterns, and opportunities.
• Develop reports, dashboards, and visualizations using tools such as Power BI, Tableau, or Excel.
• Write SQL queries to extract and manipulate data.
• Interpret data and present findings to stakeholders.
• Monitor key performance indicators (KPIs) and provide actionable recommendations.
• Collaborate with business teams to understand data requirements.
• Ensure data accuracy, integrity, and security.
• Support business planning and strategic decision-making through data-driven insights.

Required Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• Strong knowledge of SQL, Microsoft Excel, and data visualization tools.
• Experience with Python or R for data analysis is preferred.
• Excellent analytical and problem‑solving skills.
• Strong communication and presentation skills.
• Ability to work independently and as part of a team.

Preferred Skills

• Knowledge of statistical analysis and predictive modeling.
• Experience with databases and ETL processes.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Understanding of business intelligence concepts.

Skills: aws,sql,decision‑making,cloud,azure,skills,teams,dashboards,excel,data