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

Support regional planning efforts through advanced land use modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to evaluate demographic, economic, and ...

The Data Analyst aggregates data into decision-ready insights for leadership and executives enabling well-informed business decisions. Working within the Data Operations Department, the Data Analyst ...

The data analyst will analyze, design, create, maintain, update, manage and present Tableau dashboards and stories for the factory management teams. The analyst will also get cross-trained in Cicada ...

Full We are looking for experienced data analyst to work on different data domains for the wealth management sector. The data analyst will work closely with business representatives and functional ...

Main Purpose of Job The Data Analysts role will be to partner with stakeholders across the Arsenault organization to build reporting solutions to guide decisions and provide insights Key ...

You will define our channel strategy, determine how to measure success, and empower the team to achieve our motivated growth impact goals by collecting, cleaning, analyzing, and visualizing data, and ...

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and forecasting. * Apply strong analytical and programming skills to evaluate demographic, economic, and ...

Arthur Lawrence is looking for a Data Analyst one our clients in Houston, TX. Please find the below and send us your updated resume if interested: Must-Have Skills: * Ability to work 40 hours per ...

Senior Data Engineer

Houston, TX · On-site

$91K - $124K/yr

SENIOR DATA ENGINEER The Senior Data Engineer designs, builds, and owns the enterprise data platform that powers analytics and data-driven decision-making across the organization's global operations.

This role enables enterprise analytics by delivering clean, timely and well-structured data to platforms such as Power BI. The Senior Data Engineer collaborates closely with architects, analysts and ...

... from senior analysts or data partners. * Develop, maintain, and improve dashboards, reports, scorecards, assigned official-reporting components, and other data products using approved enterprise ...

The Senior Data Scientist within the Institute for Data Science in Oncology collaborates with ... analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 ...

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... The Senior Data Scientist within the Institute for Data Science in Oncology collaborates with ... analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 ...

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The Senior Data Scientist within the Institute for Data Science in Oncology collaborates with ... analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 ...

New

Showing results 41-60

Senior Data Analyst information

See Spring, TX salary details

$48.9K

$88.3K

$120.6K

How much do senior data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data analyst in Spring, TX is $88,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $96,600.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs
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 job categories do people searching Senior Data Analyst jobs in Spring, TX look for? The top searched job categories for Senior Data Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Data Analyst jobs? Cities near Spring, TX with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $88,305 per year, or $42.5 per hour.

Full-time

Re-posted 27 days ago


Job description

The Houston-Galveston Area Council is one of the largest regional planning commissions in the country with a diverse service area of 13 counties and more than7million people. We are the pulse of our region addressing issues that cross city limits and county lines every single day.

We make decisions that affect our transportation system, ensure the safety and well-being of our seniors, connect people to jobs, help families recover from natural disasters, preserve water quality for our children, and so much more. We work to make the region a great place to live, work, and thrive.

Job Duties:

  • Support regional planning efforts through advanced land use modeling, data analysis, and forecasting.

  • Apply strong analytical and programming skills to evaluate demographic, economic, and geographic trends that inform long-term planning in transportation, land use, environmental sustainability, and economic development.

  • Apply advanced knowledge in economics, statistics, and data science to develop forecasting models and simulations that guide policy and project development.

  • Manage and analyze large datasets, build scenario-based models, and communicate findings through technical reports and visualizations, demonstrating excellent written and verbal communication skills.

  • Develop and maintain land use forecasting models using SAS and Python, incorporating time-series and spatial analysis techniques to support scenario planning.

  • Conduct simulations to evaluate future land use patterns based on socioeconomic trends and policy drivers.

  • Collect, clean, and validate demographic, economic, and geographic data from public and private sources.

  • Ensure transparency and reproducibility by maintaining data dictionaries and process documentation.

  • Perform quality assurance checks to ensure accuracy of datasets and models, produce technical outputs such as reports and dashboards, and support internal and external stakeholders in interpreting model results.

  • Respond to data requests related to population, employment, and land use from local governments, research institutions, consultants, and the public, and serve as the primary contact for external data inquiries.

  • Present technical concepts clearly to non-technical audience.

 

Key Qualifications

Do you have... 

  • Minimum Education Requirement: Bachelor's degree in Urban Planning, Economics, Mathematics, Statistics, Data Science, or a related field.

  • Minimum Experience Requirement: 36 months of experience developing forecasting models, conducting statistical and spatial analysis, and managing complex datasets, including experience applying proficiency in SAS, and experience in land use modeling, simulation, or scenario analysis. 

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Employment Type: Full time