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Flexible Data Analyst Jobs (NOW HIRING)

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by ... Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by ... Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company ...

CACI International, Inc.

Data Analyst

Washington, DC · On-site

This person must be well organized and flexible. You'll Bring These Qualifications We desire someone with diverse experience and skills in data analysis, litigation support, statistical software ...

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Short Description: Client seeks to hire a Data Analyst resource to provide data analysis and ... Required Flexible work from home options available. Compensation: $71.00 - $79.00 per hour About Us ...

Programmers.io

Data Analyst

Tampa, FL · On-site

Data Analyst with strong experience in Big Data, Cloud (AWS & GCP), and AI/ML-enabled data ... Bachelor's/master's in computer science or equivalent (can be marked optional or flexible ...

WORKSIMPLI SOFTWARE LLC

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 ...

Key Choice Group

Data Analyst

Richmond, VA · On-site

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.

Greater Nashua Mental Health

Data Analyst

Nashua, NH · On-site

$54K - $83K/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

Incedo

Data Analyst

Austin, TX · On-site

Our flexible career paths allow you to grow into a program manager, a technical architect or a ... As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ...

Guidehouse

Data Analyst

Fairview Heights, IL · Hybrid

$77K - $129K/yr

Provide data analysis, management, and reporting support for enterprise systems and mission ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

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Flexible Data Analyst information

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How much do flexible data analyst jobs pay per year?

As of Jul 7, 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.

How flexible are data analyst jobs?

Data analyst jobs often offer flexibility in work arrangements, with many positions allowing remote work or flexible hours depending on the employer. The level of flexibility can vary based on company policies, project requirements, and industry standards, but remote and part-time options are increasingly common in the field.

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.

Is a data analyst a high stress job?

A data analyst role can involve high stress levels due to tight deadlines, large datasets, and the need for accuracy. However, stress varies depending on the company, workload, and individual skills, with some roles offering a more balanced environment. Effective time management and technical proficiency can help mitigate stress in this profession.

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 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.

Is 40 too late for data science?

A flexible data analyst role requires strong analytical skills and proficiency in tools like SQL and Python. Age is not a barrier; many professionals successfully transition into data science at 40 or later by gaining relevant certifications and experience.

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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:
What job categories do people searching Flexible Data Analyst jobs look for? The top searched job categories for Flexible Data Analyst jobs are:
Flexible Data Analyst jobs near you
Infographic showing various Flexible Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Algorithmic Trading Data Analyst/Engineer

Quanta Search

Manhattan, NY • On-site

Other

Posted 6 days ago

Job description

Our client is a global financial technology company, provider of advanced algorithms and data-driven analytics for clients in Futures and US CashTreasury markets.
They are looking for a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems to join our algorithmic trading data analytics/infrastructure team in NYC. You will have the opportunity to make significant contributions to our pre/post trade analytics platform and help define our product's strategic direction through thoughtful design and detailed analysis. As a key member of this team you will be responsible for building, enhancing and maintaining our 35 TB historical database which grows by about 200 GB every day. You will closely collaborate with quantitative researchers and build/improve the necessary databases and services to enable their research. You will also work closely with the sales and other client facing teams to provide analytical solutions to their questions about execution performance.Additionally, you will act as a mentor to other team members and coach them on best practices and engineering standards.You may also be occasionally required to troubleshoot production issues when they occur.
Skills and Background:
Required:
  • Experience working with large financial datasets like market data, order/execution data, or positions data
  • Experience with data analysis using languages such as KDB+/Q, R, Python/Pandas
  • Comfortable with mathematical concepts such as regression techniques, and statistical analysis
  • Experience working in a Unix/Linux environment
  • Strong analytical and problem-solving skills with a proactive attitude to own issues and solve them
  • Excellent team-player and communication skills
Desired:
  • Experience with algorithmic execution and TCA especially in the futures/cash treasuries market is a big plus
  • Familiarity with distributed trading systems/parallel computing
  • Proficiency with C++, REST APIs and UI technologies/framework such as Node.JS, Angular

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