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Flexible Data Analyst Jobs (NOW HIRING)

Data Analyst

Springfield, VA ยท Hybrid

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia ... flexible spending accounts, health savings accounts, retirement savings plans, life and disability ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia ... flexible spending accounts, health savings accounts, retirement savings plans, life and disability ...

Data Analyst

Springfield, VA ยท On-site

$75K - $95K/yr

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia ... flexible spending accounts, health savings accounts, retirement savings plans, life and disability ...

Data Analyst

Washington, DC ยท On-site

$100K - $135K/yr

The Data Analyst, working independently or as part of a contractor team, will evaluate and solve ... Flexible spending account * Health insurance * Life insurance * Paid time off * Professional ...

Data Analyst

Washington, DC ยท On-site

$100K - $135K/yr

The Data Analyst, working independently or as part of a contractor team, will evaluate and solve ... Flexible spending account * Health insurance * Life insurance * Paid time off * Professional ...

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... Flexible * Collaboration * Communication * Critical Thinking * Peer Relationships * Problem Solving

Data Analyst

Washington, DC ยท 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 ...

Data Analyst

Houston, TX ยท On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Data Analyst

Washington, DC ยท On-site

$115K - $125K/yr

The Data Analyst provides actionable insights, automation recommendations, and project status ... Flexible Spending Accounts * 401(k) * PTO * Paid Parental Leave * Tuition reimbursement * Paid ...

... flexible work environment. We are seeking a detail-oriented and collaborative Data Analyst. This ... important role involves analyzing, interpreting, and reporting complex health data to assess the ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

... flexible work environment. We are seeking a detail-oriented and collaborative Data Analyst. This ... important role involves analyzing, interpreting, and reporting complex health data to assess the ...

Data Analyst

New Brighton, MN ยท On-site

$61K - $86K/yr

The Data Analyst will discover valuable information in large data sets and help Tactile Medical ... Flexible * Collaboration * Communication * Critical Thinking * Peer Relationships * Problem Solving ...

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.

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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 Jul 27, 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:
Infographic showing various Flexible Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst - Finance Transformation

Data Analyst - Finance Transformation

The Crosby Company

Salem, NH โ€ข On-site

Full-time

Posted 16 hours ago


Job description

This position is offered as a 6+ month assignment with an opportunity for extension

This position is not open to relocation or applications from 3rd party vendors

The Crosby Company of New Hampshire is a single-family office dedicated to the long-term stewardship, management, and preservation of family assets. The Crosby Company of New Hampshire provides administrative and advisory services including investment, finance, technology, risk management, human resources, compliance, curatorial, and trust oversight services to various family office entities.

The Crosby Company of New Hampshire (CCNH) technology team is a service provider to CCNH and its business partners. Team members have a broad understanding of subject areas throughout the business, maintain strong relationships with key business constituents, and possess the ability to flex between a strategic and tactical mindset.

The Finance Transformation Data Analyst will work with our business partners and other technology team members to deliver a key data initiative in 2026 whose primary goal is to implement a single, scalable, and flexible data lake that consolidates data from multiple systems - structured and unstructured - into one centralized platform. The expected outcomes and benefits from this work include:

  • Enhances Decision Making - Consolidates data sources and provides accurate insights to support strategic and operational decision-making.
  • Improves Efficiency Through Automation - Reduces manual effort by automating data extraction, transformation, and reporting processes, cutting turnaround times significantly.
  • Establishes Governance and Compliance - Implements robust data governance frameworks to ensure security, privacy, and regulatory compliance across all data assets.
  • Improves Data Quality - Establishes and implements a data quality framework to ensure that all enterprise data is accurate, complete, consistent, timely, and reliable.
  • Reduces Redundancy and Stale Data -Eliminates duplicate efforts and outdated data by centralizing storage and enabling automated refresh cycles.
  • Supports Future Modernization - Prepares the environment for ongoing modernization initiatives.

POSITION DUTIES / ACCOUNTABILITIES: Work as a member of cross โ€“ functional technology and business teams to deliver the following:

  • Support efforts to deliver a secure MS Fabric environment to host highly confidential data.
  • Support efforts to provide financial data to data lake needed by the organization - including data feeds in and out, structured / unstructured, and historical data.
  • Support data governance framework implementation for financial data.
  • Develop key prioritized reports via PowerBI.
  • Design the necessary data models required to support reporting needs of the organization
  • Enable self-service report offering via PowerBI.
  • Participate in development and execution of Power Bi Center of Excellence Pilot.
  • Support external audit review of data lake implementation (if needed).
  • Create requirements documentation to support the development of key prioritized reports.
  • Produce detailed test plans, test strategies, test scripts, test conditions in partnership with business, vendor, and implementation partners.

QUALIFICATIONS:

  • You have a bachelorโ€™s degree and 5+ years of related experience in data analysis, or a masterโ€™s degree and 3+ years of relevant experience.
  • You have significant expertise in data related projects in the areas of requirements gathering, analysis, interpretation and translating them to data solutions.
  • You have 5 yearsโ€™ experience performing data analysis on modern data platform such as Snowflake and MS Fabric
  • You have dimensional data modelling design and implementation experience.
  • You are familiar applying data governance and management practices when building data solutions.
  • You have strong data analysis and data profiling skills with a solid experience using SQL/Python. You are experienced independently wrangling insights from datasets to obtain valuable insights.
  • You have experience working with cloud data warehouse platforms including awareness of its data lifecycle, sharing and access architecture.
  • You have experience delivering complex Power BI reports. Certification an advantage.
  • You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non-technical. You make the complicated simple.
  • You are fluent in agile work methodologies such as scrum and its application. Familiarity with Jira of benefit.
  • You have experience navigating integrated enterprise data and working across multi-functional teams. You can identify alternative approaches and make recommendations on the benefits and shortcomings of each approach.
  • You operate with a โ€œcan-doโ€ attitude despite uncertainties and business flux and can prioritize accordingly.
  • You are a strong results-orientated contributor with an ability to clearly articulate and deliver business value.
  • You demonstrate experience in understanding multi-functional enterprise data, navigating between business analytic needs and data.
  • An ability to adapt to a changing business environment while retaining a high level of attention to detail and delivering high quality work.
  • Ability to create a collaborative environment that fosters teamwork, mutual respect, creativity, innovation, and learning.
  • Strong collaboration skills. Proficient in requirements elicitation and prioritization.
  • Excellent time management, organizational, and prioritization skills.
  • Demonstrated interpersonal, written, and verbal communication skills.
  • Flexibility in adapting to new and varying situations.
  • Ability to think and perform under pressure.
  • Proactive and positive attitude, highly motivated, and self-directed.
  • Detail-oriented with strong problem-solving skills.
  • Comfortable working independently, adapting to shifting priorities, demands, and timelines in a fast-paced environment and demonstrating leadership skills.
  • Keen attention to detail and complex problem-solving abilities from operational and technical perspectives

The Crosby Company Of New Hampshire LLC is an equal opportunity employer. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.