1

Flexible Data Analyst Jobs in Arizona (NOW HIRING)

Tools CollIbra and Manta - flexible and able to manage multiple demands Skills - SQL, ETL, BI ... Analytics, Finance and banking Agile methodology Understanding of cloud based technologies and ...

Be Seen First

Proactive analyze data to answer key questions for stakeholders or yourself, with an eye on what ... Must be flexible and adaptable to changing work environment and work schedules. Company Description ...

Cisco Data Analyst Level 1

Phoenix, AZ · On-site

$30 - $32.77/hr

Cisco Data Analyst Level 1 Location: Remote / USA Type: Independent Contract (Contractor / Non ... work a flexible schedule which may include holidays May be asked to travel for business or ...

Cisco Data Analyst Level 1

Phoenix, AZ · On-site

$30 - $32.77/hr

Cisco Data Analyst Level 1 Location: Remote / USA Type: Independent Contract (Contractor / Non ... May be asked to work a flexible schedule which may include holidays * May be asked to travel for ...

Analyst-IMD Data Management

Phoenix, AZ · On-site +1

$51K - $59.30K/yr

We are flexible with respect to geographic location, and the ideal candidate will be comfortable working remotely/work from home across US time zones. Primary Duties Data Analysis & Reporting:

Analyst-IMD Data Management

Phoenix, AZ · On-site +1

$51K - $59.30K/yr

We are flexible with respect to geographic location, and the ideal candidate will be comfortable ... Strong analytical skills with the ability to synthesize data into meaningful insights * Advanced ...

next page

Showing results 1-20

Flexible Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do flexible data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for flexible data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 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 Arizona? The most popular types of Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Flexible Data Analyst jobs? Cities in Arizona with the most Flexible Data Analyst job openings:
Infographic showing various Flexible Data Analyst job openings in Arizona as of May 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 38% Physical, 13% Hybrid, and 49% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.
Data Analyst

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title

SQL - Knowledge of Data Quality, DQIM, DQ monitoring - experienced in data governance, metadata and data lineage. Tools CollIbra and Manta - flexible and able to manage multiple demands Skills - SQL, ETL, BI, Analytics, Finance and banking Agile methodology Understanding of cloud based technologies and architecture