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Flexible Data Analyst Jobs in Spring, TX (NOW HIRING)

Initio Capital

Data Integration Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Initio Capital

Data Governance Analyst

Houston, TX · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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All JobsData Analyst JobsFlexible Data Analyst JobsFlexible Data Analyst Jobs in Spring, TX

Flexible Data Analyst information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do flexible data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for flexible data analyst in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a flexible data analyst?

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 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.

Are data analysts still in high demand?

Data analysts remain in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights.

Can you be a flexible data analyst as a side hustle?

A flexible data analyst can often work part-time or freelance, making it suitable as a side hustle. This role typically involves skills in data visualization, SQL, and tools like Excel or Tableau, which can be managed outside regular hours if the workload allows. However, balancing multiple projects requires good time management and clear communication with clients or employers.

What are the most commonly searched types of Data Analyst jobs in Spring, TX?

The most popular types of Data Analyst jobs in Spring, TX are:

What are popular job titles related to Flexible Data Analyst jobs in Spring, TX?

For Flexible Data Analyst jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Flexible Data Analyst jobs in Spring, TX look for?

The top searched job categories for Flexible Data Analyst jobs in Spring, TX are:

What cities near Spring, TX are hiring for Flexible Data Analyst jobs?

Cities near Spring, TX with the most Flexible Data Analyst job openings:

Flexible Data Analyst jobs near you

Auto Insurance Associate Product Manager

Embark MGA

Houston, TX • Remote

Part-time

Re-posted 12 days ago

Job description

The Associate Product Manager role will focus on achieving favorable results, handling regulatory filings, developing state-specific program enhancements, and effectuating the development of competitive product strategies. The ideal candidate has favorable experience in insurance product management, strong technical/math skills and enjoys working collaboratively across departments. This is a fully remote position. Consulting or PT position is highly desired

Responsibilities:

  • Manage assigned auto insurance state(s), ensuring profitability, compliance, and competitiveness
  • Align product goals with company objectives and strengths, regulatory requirements, and profitability targets.
  • Collaborate with Marketing, Underwriting, Claims, IT, Legal, vendors, etc. to design, price, and implement product features and to support day-to-day operations.
  • Maintain effective regulatory relations, prepare and submit product and rate filings via SERFF and overall communicate successfully with insurance departments.
  • Monitor and evaluate product performance metrics (loss ratios, retention, premium growth, etc.) and recommend and implement approved adjustments to improve results.
  • Conduct competitor and market analysis including securing agent input to identify trends, pricing opportunities, product enhancements, etc. and incorporate into actionable product advancements.
  • Develop strong knowledge of and ensure compliance with state requirements and effectively respond to regulatory inquiries.
  • Contribute and reply to audits, reviews, and regulatory examinations as a subject-matter expert. Review criticisms and areas reviewed in other insurance carrier Market Conduct Exam reports and ensure AFIC is in compliance with all potential exposures.
  • Assists in development of programs including pricing, underwriting, policy language, and filings for new and existing programs.
  • Develop the programming of scalable and flexible data reporting and analysis solutions to fulfill the needs of the team.
  • Document programs, queries, and dashboards for reliable future use; automate useful reports and solutions
  • Analyze market trends, competitor activity, and industry developments
  • Initiate, lead and/or support projects and initiatives that enhance product development, operations, and/or performance.

Requirements

  • Bachelor’s degree in Business, Finance, Insurance, Economics or related field preferred
  • Minimum 2 years of Product Management or related experience, preferably with a focus on automobile insurance (non-standard automobile a plus)
  • Excellent quantitative and communication skills
  • Strong knowledge of data analysis and visualization tools such as SQL and Tableau required
  • Strong analytical and problem-solving skills with attention to detail
  • Working knowledge of insurance rate filings and rules
  • Effective communication and collaboration skills across technical and non-technical teams
  • Proficiency with Microsoft Office Suite; experience with product management tools and regulatory filing systems (e.g., SERFF)