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Remote Survey Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

... surveying, and forensic analysis. Our mission is to deliver precise and innovative engineering ... This is a remote role strictly for candidates within the United States. Position Overview: As a ...

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

HR Data Analyst

El Paso, TX · Remote

$60.50 - $65.50/hr

... surveying, and forensic analysis. Our goal is to provide innovative and accurate engineering ... This is a remote role strictly for candidates within the United States. We are looking for an ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas HHSC Direct ...

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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Remote Survey Data Analyst information

What does a remote survey data analyst do?

A Remote Survey Data Analyst is responsible for collecting, interpreting, and analyzing data obtained from surveys while working from a remote location. They use statistical tools and software to process survey responses, identify trends, and generate insightful reports. Their work helps organizations make data-driven decisions by providing clear, actionable findings based on survey data. Remote Survey Data Analysts often collaborate with team members virtually and may also assist in designing survey questions to ensure data quality.

What are the key skills and qualifications needed to thrive as a remote survey data analyst?

To thrive as a Remote Survey Data Analyst, you need strong analytical skills, statistical knowledge, and a degree in fields like statistics, mathematics, or data science. Familiarity with survey platforms, data analysis tools such as SPSS, R, or Python, and experience with data visualization software are typically required. Attention to detail, problem-solving abilities, and effective written communication are vital soft skills for interpreting results and presenting findings remotely. These competencies ensure accurate data interpretation, actionable insights, and effective collaboration in a distributed work environment.

How does a remote survey data analyst typically collaborate with other team members to ensure accurate data interpretation?

As a Remote Survey Data Analyst, collaboration often happens through virtual meetings, shared dashboards, and cloud-based project management tools. You’ll frequently work with survey designers, project managers, and other analysts to clarify objectives, discuss methodologies, and review preliminary findings. Clear communication is crucial, especially when interpreting ambiguous responses or addressing data quality concerns. Building strong virtual relationships and proactively sharing updates helps the team maintain accuracy and meet project deadlines efficiently.

What is the difference between Remote Survey Data Analyst vs Remote Market Research Analyst?

AspectRemote Survey Data AnalystRemote Market Research Analyst
Required CredentialsBachelor's in statistics, data analysis, or related field; proficiency in survey toolsBachelor's in marketing, business, or related; knowledge of market research methods
Work EnvironmentRemote, often freelance or contract-basedRemote or office-based, depending on employer
Industry UsageUsed across various sectors for data collection and analysisPrimarily in marketing, advertising, and consumer research
Common Search/ComparisonYesYes

The Remote Survey Data Analyst focuses on designing, collecting, and analyzing survey data across industries, often working with raw data sets. The Remote Market Research Analyst, while similar, emphasizes understanding market trends and consumer insights through surveys and other research methods. Both roles require analytical skills and familiarity with survey tools, but their primary focus and industry applications differ slightly.

What are the most commonly searched types of Survey Data Analyst jobs in Texas?

The most popular types of Survey Data Analyst jobs in Texas are:

What cities in Texas are hiring for Remote Survey Data Analyst jobs?

Cities in Texas with the most Remote Survey Data Analyst job openings:

Infographic showing various Remote Survey Data Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

$23.50 - $30.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 hours ago


Job description

About Us: With a team of experienced experts and a dedication to excellence, Orionyx Engineering Ltd. offers comprehensive services that guarantee the highest quality standards in every project. We are a leading firm that specializes in civil engineering, structural engineering, architectural services, surveying, and forensic analysis. Our mission is to deliver precise and innovative engineering solutions that improve infrastructure and support sustainable development.
This is a remote role strictly for candidates within the United States. 

Position Overview: As a Data Analyst at Orionyx Engineering Ltd., you will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across various engineering projects. You will collaborate with engineering teams, project managers, and stakeholders to analyze data trends, develop reports, and contribute to data-driven strategies that enhance operational efficiency and project outcomes.

Key Responsibilities:

  1. Data Collection and Management:
    • Gather and organize large sets of structured and unstructured data from various sources, including databases, spreadsheets, and project management tools.
    • Ensure data integrity and accuracy by implementing validation checks and cleansing processes.
  2. Data Analysis:
    • Utilize statistical methods and analytical techniques to interpret complex data sets related to engineering projects, performance metrics, and operational efficiency.
    • Identify trends, patterns, and anomalies in data to inform project planning and execution.
  3. Reporting and Visualization:
    • Create comprehensive reports, dashboards, and visualizations that communicate findings to stakeholders in an accessible manner.
    • Present data insights and recommendations to engineering teams, project managers, and executive leadership.
  4. Collaboration and Communication:
    • Work closely with engineering teams to understand their data needs and provide analytical support for ongoing projects.
    • Facilitate workshops and meetings to gather requirements and present findings, ensuring alignment with project goals.
  5. Predictive Modeling:
    • Develop predictive models to forecast project timelines, resource allocation, and potential risks based on historical data.
    • Collaborate with cross-functional teams to implement data-driven strategies that optimize project outcomes.
  6. Tool Development and Automation:
    • Identify opportunities for automation in data collection and reporting processes to enhance efficiency.
    • Develop and maintain analytical tools and databases to support ongoing data analysis efforts.
  7. Quality Assurance:
    • Conduct regular audits of data quality and reporting processes to ensure compliance with industry standards and best practices.
    • Provide training and support to team members on data analysis tools and methodologies.

Qualifications:

  • Education:
    • Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a related field. A masters degree is a plus.
  • Experience:
    • 2+ years of experience in data analysis, preferably within the engineering or construction industry.
    • Proven experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software (e.g., R, Python, or similar).
  • Technical Skills:
    • Proficiency in SQL for database management and querying.
    • Strong knowledge of Excel for data manipulation and analysis.
    • Familiarity with engineering software and tools (e.g., AutoCAD, Primavera) is a plus.
  • Soft Skills:
    • Excellent analytical and problem-solving skills.
    • Strong communication and presentation abilities to convey complex data insights to non-technical stakeholders.
    • Ability to work independently and collaboratively in a fast-paced environment.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional development and continuous learning.
  • A dynamic and inclusive work environment.
  • Involvement in innovative engineering projects that make a difference.

Job Types: Full-time

Pay: From $23.50 - $30.50 per hour

Schedule: Monday to Friday (8 hours daily)

Expected hours: 40 per week 

Benefits:

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off

Work Location: Remote 

Package Details

  • 401(k)
  • Dental insurance
  • Vision insurance
  • Health insurance
  • Life insurance
  • Paid time off