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

Escalate complex, multi-layered requests to senior analysts with proper context Team Support & Documentation * Assist senior analysts on larger projects as assigned -- data prep, validation, and ...

Escalate complex, multi-layered requests to senior analysts with proper context Team Support & Documentation * Assist senior analysts on larger projects as assigned -- data prep, validation, and ...

This position reports to the Senior Director, Analytics, Research & Evaluation and follows a hybrid ... Data Analysis & Visualization * Design, develop, and maintain scalable data models and interactive ...

This position reports to the Senior Director, Analytics, Research & Evaluation and follows a hybrid ... Data Analysis & Visualization * Design, develop, and maintain scalable data models and interactive ...

Sr. Charles River Data (CRD) Analyst

Houston, TX · On-site

$82K - $103K/yr

We need a Sr. Charles River Data Analyst who can help client integrate Charles River Data with other accounting system and data management system. Should have prior experience in mapping data from ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support project decisions, improve operational efficiency, and provide insights that drive strategic planning.

Senior Data Architect

Houston, TX · On-site

$64.25 - $86/hr

They are seeking a Senior Data Architect to design and implement data architecture strategies for ... Analysts, and Project Management - to plan and execute PM2PA data-related projects. • Provide ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

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

Support senior analysts in complex data analysis projects Reporting and Documentation * Develop standard reports and maintain existing dashboards that track operations and revenue cycle performance

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 Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization ...

Showing results 21-40

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.

$82K - $103K/yr

Full-time

Re-posted 7 days ago


Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility


Job description

Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership’s assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.

We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department.  The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.

  • Work directly with subject matter experts to develop high quality, reliable, scalable, software products.
  • Design and implement frameworks and tools to streamline the machine learning process.
  • Implement data manipulation and transformation logic to support various use cases.
  • Leverage software architecture and design patterns to develop fault tolerant microservices.
  • Document code and architectural decisions to support maintainability.
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage.

The successful candidate will meet the following qualifications:

  • 5 years of programming experience in Python.
  • Expertise in developing and maintaining data pipelines.
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control.
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals.
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing distributed computing systems.
  • Knowledgeable of DevOps Principles.
  • Experience in designing modular, reusable software components. 
  • Experience in developing API endpoints and microservices..

What Enterprise Products employees say

Pay

Benefits

Hours and flexibility

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