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Flexible Data Analyst Jobs in Reno, NV (NOW HIRING)

Data Analyst

Carson City, NV ยท On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) * Short-Term and Long-Term ...

Works with complex datasets to perform exploratory data analysis to provide insights to make ... Flexible spending accounts (FSAs) * Short- and long-term disability coverage * Work-Life resources

New

Conducting technical interviews to obtain data needed to complete analytical tasks * Provide ... Flexible Spending Accounts, EAP, Parental Leave, Paid time off, and Holidays, for those who qualify.

Conducting technical interviews to obtain data needed to complete analytical tasks * Provide ... Flexible Spending Accounts, EAP, Parental Leave, Paid time off, and Holidays, for those who qualify.

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Flexible Data Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do flexible data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for flexible data analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Flexible Data Analyst, and why are they important?

To thrive as a Flexible Data Analyst, you need strong analytical skills, proficiency in statistics, and a foundational understanding of data management, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, Python or R, Excel, and data visualization platforms like Tableau or Power BI is usually expected. Exceptional problem-solving abilities, adaptability, and effective communication skills help you interpret data insights and collaborate across diverse projects. These competencies are vital for delivering actionable business solutions in dynamic and evolving environments.

What are some common challenges faced by Flexible Data Analysts, and how can they overcome them?

Flexible Data Analysts often work across multiple projects or teams, which can present challenges in managing shifting priorities and adapting to different data sources or business goals. To succeed, it's important to maintain strong organizational skills, communicate proactively with stakeholders, and quickly familiarize oneself with new datasets and tools. Building a strong network within the organization can also help in understanding context and ensuring data-driven recommendations are aligned with business needs. Regularly updating technical skills and seeking feedback can further enhance effectiveness in this dynamic role.

What is a Flexible Data Analyst?

A Flexible Data Analyst is a professional who analyzes and interprets data to help organizations make informed decisions, while typically working in a non-traditional arrangement such as remote work, part-time hours, or on a project basis. This flexibility allows both employers and analysts to adapt to changing workloads and personal needs. Flexible Data Analysts often use statistical tools and software to process large datasets, generate reports, and provide actionable insights. They may work across various industries, including finance, healthcare, and marketing, supporting teams with data-driven recommendations.

What is the difference between Flexible Data Analyst vs Data Scientist?

AspectFlexible Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentBusiness, finance, marketing teams; often in office settingsResearch labs, tech companies, or analytics teams; often in office or remote
Employer & Industry UsageRetail, healthcare, finance, marketingTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Flexible Data Analysts focus on interpreting data, creating reports, and supporting decision-making with less emphasis on complex modeling. Data Scientists typically develop advanced algorithms, predictive models, and perform in-depth statistical analysis. While both roles require strong analytical skills, Data Scientists usually have more technical expertise in programming and machine learning. The choice depends on your skills and career goals within data analytics and data science fields.

What are the most commonly searched types of Data Analyst jobs in Reno, NV? The most popular types of Data Analyst jobs in Reno, NV are:
What are popular job titles related to Flexible Data Analyst jobs in Reno, NV? For Flexible Data Analyst jobs in Reno, NV, the most frequently searched job titles are:
What cities near Reno, NV are hiring for Flexible Data Analyst jobs? Cities near Reno, NV with the most Flexible Data Analyst job openings:

Data Analyst

Cayuse Holdings

Carson City, NV โ€ข On-site, Remote

$100K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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 Cayuseโ€™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 clientsโ€™ 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

  • Bachelorโ€™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.

Submit a Referral (https://careers-cayuseholdings.icims.com/jobs/3830/data-analyst/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834356743)

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Location US-

ID 104432

Category Information Technology

Position Type Full-Time Salary Exempt

Remote Yes

Clearance Required Public Trust