About Cayuse Holdings
Sourced by ZipRecruiter
Industry
It services
Company size
201 - 500 Employees
Headquarters location
Pendleton, OR, US
Year founded
2018
$100K - $110K/yr
Other
Medical, Dental, Vision, Life, Retirement, PTO
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Overview
The Data Analyst identifies and develops opportunities to leverage data from enterprise systems to support compliance activities, detect emerging trends in payment collections and taxpayer behaviors, and recommend systemic solutions. This role is responsible for designing and executing analytical approaches, documenting methodologies and results, and validating models to ensure they are robust, accurate, and ready for transition to appropriate organizational functions for operational use.
This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.
Responsibilities
Meet with 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 challenges.
Conduct exploratory data analysis using large-scale client data sources, and develop briefings and reports to communicate key findings to colleagues and clients.
Collaborate 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 clients.
Demonstrate superior verbal and written communication skills, with the ability to explain complex analytical concepts to stakeholders with both technical and non-technical backgrounds.
Take ownership of tasks and produce high-quality work products with minimal supervision.
Other duties as assigned.
Qualifications
Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, or another quantitative discipline, or equivalent relevant experience.
A minimum of 5 years of professional experience
At least 5 years of experience with data structures, foundational statistical concepts, and analytical methodologies
At least 5 years of experience developing and presenting data-driven findings and recommendations.
Public Trust Clearance is required.
Due to the nature of work, U.S. Citizenship is required.
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
Minimum Skills:
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)
Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not required
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
Our Commitment to you / overview of benefits
Medical, Dental and Vision Insurance; Wellness Program
Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
Short-Term and Long-Term Disability options
Basic Life and AD&D Insurance (Company Provided)
Voluntary Life and AD&D options
401(k) Retirement Savings Plan with matching after one year
Paid Time Off
Reports to: Program Manager
Working Conditions
Professional remote office environment.
Must be physically and mentally able to perform duties extended periods of time.
Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.
Must be able to establish a productive and professional workspace.
Must be able to sit for long periods of time looking at computer screen.
May be asked to work a flexible schedule which may include holidays.
May be asked to travel for business or professional development purposes.
May be asked to work hours outside of normal business hours.
Travel costs, per diem, and other related expenses must be pre-approved in compliance with State of Texas travel guidelines.
Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.
Pay Range
USD $100,000.00 - USD $110,000.00 /Yr.
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Location US-
ID 104432
Category Information Technology
Position Type Full-Time Salary Exempt
Remote Yes
Clearance Required Public Trust
Sourced by ZipRecruiter
It services
201 - 500 Employees
Pendleton, OR, US
2018
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Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.