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Flexible Data Analyst Jobs (NOW HIRING)

This role bridges data engineering, analytics, and AI model development to deliver actionable ... Flexible schedule. Looking for talent who are able to develop AI bots to deploy and make efficiency ...

Data Analyst (Entry-Level) Location: New York, NY Experience Level: 0-3 years About the Company We ... flexible financing solutions to small and medium-sized businesses. Our team leverages data-driven ...

Data Analyst Location: Austin, Texas Schedule: Contractors Pay Range: Competitive pay, based on ... Flexible schedules and generous PTO. * Professional Development: Opportunities for training ...

Data Analyst Location: Austin, Texas Schedule: Contractors Pay Range: Competitive pay, based on ... Flexible schedules and generous PTO. * Professional Development: Opportunities for training ...

Data Analyst Location: Austin, Texas Schedule: Contractors Pay Range: Competitive pay, based on ... Flexible schedules and generous PTO. * Professional Development: Opportunities for training ...

Data Analyst Location: Austin, Texas Schedule: Contractors Pay Range: Competitive pay, based on ... Flexible schedules and generous PTO. * Professional Development: Opportunities for training ...

PR · On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays) ???? Job Type ... Hybrid work model with flexible schedule (Remote Wednesdays) * Health insurance, PTO, and ...

Data Analyst Our client, in the shipping and logistics/supply chain industry, is seeking a Data ... Casual environment with super flexible schedules, mostly remote work with some office time.

Data Analyst Our client, in the shipping and logistics/supply chain industry, is seeking a Data ... Casual environment with super flexible schedules, mostly remote work with some office time.

Data Analyst Location: Paige, Texas Schedule: Contractors Pay Range: Competitive pay, based on ... Flexible schedules and generous PTO. * Professional Development: Opportunities for training ...

Data Analyst

Nashua, NH · On-site

$54.95K - $83.53K/yr

The Data Analyst collaborates with cross-functional teams to improve data quality, reporting ... Flexible Spending Account * Dental Insurance * Vision Insurance * Group Life and AD&D Insurance

Data Analyst We are seeking a skilled Data Analyst to join our Mission Control/Engineering team. As ... Flexible Paid Time Off * Welcoming and friendly work environment * Regular social events and ...

The Data Analyst collaborates with cross-functional teams to improve data quality, reporting ... Flexible Spending Account * Dental Insurance * Vision Insurance * Group Life and AD&D Insurance

... change with a flexible, cooperative work style and ability to reprioritize as needed ... data analysis experience, including 2-4 years building complex data models. • 2+ years of data ...

Your total rewards package includes competitive pay, benefits, and perks, flexible work-life ... Great Hill is seeking a Data Analyst (with Data Management focus) in the National Capital Region to ...

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Flexible Data Analyst information

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$34K

$82.6K

$136K

How much do flexible data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for flexible data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.

More about Flexible Data Analyst jobs
What cities are hiring for Flexible Data Analyst jobs? Cities with the most Flexible Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Flexible Data Analyst jobs? States with the most job openings for Flexible Data Analyst jobs include:
Infographic showing various Flexible Data Analyst job openings in the United States as of May 2026, with employment types broken down into 61% Full Time, 36% Part Time, and 3% Contract. Highlights an 35% Physical, 15% Hybrid, and 50% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

PLANIT Group

Grand Prairie, TX • Hybrid

Other

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


Job description

We are seeking a skilled Data & AI Specialist to design, develop, and deploy data-driven solutions that leverage artificial intelligence and machine learning. This role bridges data engineering, analytics, and AI model development to deliver actionable insights and scalable intelligent systems that support business objectives.
Design, build, and maintain data pipelines and infrastructure to support analytics and AI initiatives
Develop, train, and deploy machine learning and AI models for predictive and prescriptive use cases
Analyze large, complex datasets to extract insights and communicate findings to stakeholders
Collaborate with cross-functional teams to identify opportunities for AI-driven improvements
Implement data preprocessing, feature engineering, and model evaluation techniques
Monitor model performance and retrain models as needed to ensure accuracy and relevance
Ensure data quality, integrity, and governance across systems
Stay up to date with emerging trends in AI, machine learning, and data technologies
Basic Qualifications:
1) Data Analysis Experience
2) Quality Analysis Experience
3) Software and Programming Skills Experience
4) Trend Analysis Experience
M, T, Wed on site, Thursday from home. Flexible schedule.
Looking for talent who are able to develop AI bots to deploy and make efficiency gains in our teams ability to identify and find trends quickly in a fast paced environment.