Senior Data Analyst
Haystack · Florida, United States · 4 days ago
RemoteRemoteInformation TechnologyFull-time
About the role
The Role Collect, clean, transform, and analyze large data sets from multiple sources to identify trends and support decision-making. Develop and maintain dashboards and visualizations using tools such as Tableau, Power BI, or other BI platforms. Work closely with stakeholders to gather reporting requirements and design user-friendly reports and data visualizations. Write queries and scripts in SQL and Microsoft Excel to extract, manipulate, and analyze data. Provide analytical support for strategic initiatives, operational planning, and mission readiness assessments. Present findings and recommendations clearly to technical and non-technical audiences.
Responsibilities
- Collect, clean, transform, and analyze large data sets from multiple sources to identify trends and support decision-making.
- Develop and maintain dashboards and visualizations using tools such as Tableau, Power BI, or other BI platforms.
- Work closely with stakeholders to gather reporting requirements and design user-friendly reports and data visualizations.
- Write queries and scripts in SQL and Microsoft Excel to extract, manipulate, and analyze data.
- Provide analytical support for strategic initiatives, operational planning, and mission readiness assessments.
- Present findings and recommendations clearly to technical and non-technical audiences.
Requirements
- 8+ years of experience in data analysis, data engineering, or data science.
- 3+ years of experience designing, developing, operationalizing, and maintaining data applications for reporting and analytics at enterprise scale.
- Experience in data modeling, transformation, and visualization using tools such as Tableau, Qlik, or Power BI.
- Experience in Microsoft Office Suite, including Excel and Access.
- Experience writing queries for data extraction and analysis and knowledge of object-oriented programming language, such as Python, Java, or C++.
- Bachelor's degree in Computer Science, Data Science, or Mathematics.
Qualifications
- Comprehensive benefits package including health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, and tuition assistance.
- Opportunity to work on mission-critical projects.
- Collaborative team environment with growth opportunities.
Benefits
- Comprehensive benefits package including health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, and tuition assistance.
Schedule
- Full-time position.
Pay
- Competitive salary based on experience and qualifications.