Data Analyst at Cayuse Shared Services in United States

Data Analyst at Cayuse Shared ServicesUnited States — full-time

Overview

Cayuse Federal Services (CFS) provides innovative and flexible solutions to federal government clients, emphasizing cost-effective excellence. CFS' capabilities, market-relevant service offerings, past performance credentials, and diverse status allow government clients to engage quickly and confidently with CFS. Core service areas for CFS include Environmental Services Investigation and Remediation, Munitions Response/Unexploded Ordnance (UXO), Operations Support Services Bases, Ranges, Airfields, and Logistics/Warehouse Management.

Primary Focus

The Data Analyst works with the client in developing and identifying areas within IRS where data obtained through IRS systems may be applied to support IRS compliance activities; help in discovering emerging trends in payment collections and taxpayer behaviors; develop systemic solutions; document analytical work and validate models for transfer to appropriate agency functions.

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

Qualifications

Minimum Qualifications:

Bachelor’s in Economics, Statistics, Mathematics, Computer Science, or other quantitative field, or equivalent experience
2–5 years of professional experience
2–5 years of in-depth understanding of data constructs, basic statistical concepts, and analytical methods
2–5 years of experience formulating data-driven recommendations
Must be able to pass a background check. May require additional background c