What are the responsibilities and job description for the Data Analyst position at Haystack?
We are working with a leading government contractor providing advanced technical and analytical support to critical government programs. This organization is at the forefront of delivering cutting-edge solutions that drive informed decision-making and operational excellence for various federal initiatives.
The Role
The Role
- Serve as the primary contractor technical authority for all data analysis activities, interfacing directly with government stakeholders.
- Deliver actionable insights, develop analytical frameworks, and advise on data strategy, methodology, and best practices.
- Identify, acquire, and integrate data from multiple government and contractor sources, ensuring data quality and compliance.
- Design and execute complex quantitative and qualitative analyses, applying advanced statistical methods and predictive modeling.
- Develop clear, compelling data visualizations, dashboards, and reports for technical and non-technical government audiences.
- Drive process improvement and innovation in data collection, processing, and analysis workflows to enhance program capabilities.
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field; Master's preferred.
- 7-10 years of experience in data analysis or data science, with at least 3-5 years in a government contractor support role.
- Demonstrated subject matter expertise in advanced statistical methods, predictive modeling, and machine learning.
- Proficiency in industry-leading visualization tools (e.g., Tableau, Power BI) and strong communication skills.
- Ability to translate complex data findings into clear, meaningful information for government customers.
- Minimum Secret security clearance is required.
- Opportunity to provide critical analytical expertise directly supporting government programs.
- Work on complex and impactful data analysis projects.
- Engage with senior government stakeholders and advise on data strategy.
- Continuous learning and application of emerging trends in data analytics.