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

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

The Master Data Analyst (SAP) will support critical master data activities for Material Master, BOMs, Routings and Production Versions in SAP. This role will focus on cleaning up product hierarchy ...

Supply Chain Data Analyst Position Overview A fast-growing clean energy organization is expanding its team to support the continued development and scaling of innovative energy technologies. The ...

The Data analyst will be part of the support team for ALL questions related to "Tool" and "Data" within the EMIT integrated tool solution. Serve as single point of contact for IT Project tools and ...

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Showing results 1-20

Data Analyst Analyst information

See Spring, TX salary details

$31.3K

$76.1K

$125.2K

How much do data analyst analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data analyst analyst in Spring, TX is $76,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to help organizations make informed decisions. They use tools such as Excel, SQL, and data visualization software to interpret data trends and present actionable insights to stakeholders. Data Analysts often work closely with other departments to identify business needs and support strategic planning. Their work is crucial in guiding business strategies, improving processes, and solving complex problems.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or a related field, often supported by a bachelor’s degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

How do Data Analysts typically collaborate with other departments within an organization?

Data Analysts frequently work alongside teams from marketing, finance, product, and operations to understand their data needs and deliver actionable insights. They attend cross-functional meetings, clarify requirements, and translate business questions into analytical tasks. Strong communication skills are essential, as Data Analysts must explain technical findings in an accessible way to non-technical stakeholders. This collaborative environment not only broadens their understanding of the business but also helps them identify opportunities for greater impact and career advancement.
What are popular job titles related to Data Analyst Analyst jobs in Spring, TX? For Data Analyst Analyst jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Analyst jobs in Spring, TX look for? The top searched job categories for Data Analyst Analyst jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analyst Analyst jobs? Cities near Spring, TX with the most Data Analyst Analyst job openings:
Senior AI Data Analyst

Senior AI Data Analyst

Smarter HR Solutions LLC

Houston, TX • On-site

$52 - $54/hr

Full-time

Posted 13 days ago


Job description

***Please note: This position is onsite and not remote. Candidates must be based in the Houston area, as relocation assistance is not provided. Only individuals authorized to work in the U.S. without sponsorship will be considered.***

Job Title: Senior AI Data Analyst
Job Type: Contract (this role is a 12-month assignment)
Job Salary: $52-$54/hour
Job Schedule: M-F, 40 hrs/week
Job Location: Houston, TX 77092

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities
AI & Advanced Analytics
  • Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
  • Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
  • Apply responsible AI practices to ensure fairness, explainability, and transparency
Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and model documentation
  • Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  • Support development of AI governance, ethics frameworks, and model risk management processes
Stakeholder Collaboration
  • Identify opportunities to leverage AI to improve operations and service outcomes
  • Communicate complex findings into clear, actionable insights for executive leadership
  • Provide mentorship and technical guidance to analysts and cross-functional teams
Reporting & Visualization
  • Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
  • Build and maintain Business Intelligence solutions (e.g., Power BI)
  • Integrate AI-driven insights into reporting for real-time decision-making

Requirements
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)
  • 5+ years of experience in data analytics, data science, or AI/ML roles
  • Hands-on experience with machine learning model development and deployment
  • Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
  • Experience with NLP, predictive modeling, or automation solutions
  • Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
  • Excellent communication skills with ability to present technical insights to non-technical audiences
Preferred Qualifications
  • Experience working with large, complex datasets in regulated environments
  • Familiarity with MLOps, model monitoring, and lifecycle management
  • Exposure to geospatial analytics, LLMs, or advanced AI frameworks
  • Experience implementing responsible AI or ethical AI frameworks
What You’ll Deliver
  • Production-level AI solutions improving internal workflows or customer-facing services
  • Executive-facing dashboards with near real-time insights
  • Established data quality standards and governance practices
  • AI governance workflows including bias testing, documentation, and monitoring
  • Scalable processes for cross-functional AI project delivery