Cayuse Holdings · 4 hours ago
Data Analyst - Senior
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Finance
No H1B
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Responsibilities
Meet with Government clients to understand their business needs, define research objectives, identify data sources, and develop analysis plans
Apply critical thinking and creative problem-solving skills to proactively identify and develop solutions for clients’ business problems
Conduct exploratory data analysis using large-scale Government data sources. Develop briefings and reports to communicate key findings to colleagues and Government clients
Work with teams of data scientists to build pipelines for data engineering and machine learning
Work with teams of software developers to build tools for data visualization and analysis
Develop recommendations based on completed research and analysis and present these recommendations to government clients
Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with technical and non-technical backgrounds
Takes ownership of tasks and develops high-quality work products with minimal supervision
Other duties as assigned
Qualification
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Required
Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience
5+ years of professional experience
5+ years of depth understanding of data constructs, basic statistical concepts, and analytical methods
5+ years of experience formulating data-driven recommendations
Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment
This position requires candidates to obtain a Federal Public Trust Clearance. Being a US Citizen or a Lawful Permanent Resident is required when obtaining a Federal Public Trust Clearance
Experience with at least one object-oriented programming language (e.g., Python, Java, JavaScript)
Experience with structured databases and query languages (e.g., PL/SQL, Postgres, MySQL)
Strong collaboration skills and ability to work well in a team environment
Excellent verbal and written communication skills
Able to synthesize information from client and team needs into concrete, actionable work products and/or analytical plans
Strong client and team interaction skills
Critical thinker with excellent attention to detail
Preferred
Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required