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Data Analysis Jobs in Spring, TX (NOW HIRING)

HP Development Company, L.P.

PS Data Analyst

Spring, TX · On-site

$83K - $127K/yr

Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects. * Collaborates with internal and external partners to perform experiments and validations ...

Houston Galveston Area Council

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 ...

Panelmatic

Data Analyst

Houston, TX · On-site

We have produced control packages for many of America's top corporations in the data center ... Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

Calpine

Engineer - Data Analyst

Pasadena, TX · On-site

The ideal candidate will have a strong background in data analysis, with experience in data preparation and visualization tools. This role is critical to our business, as the successful candidate ...

Panelmatic

Data Analyst

Houston, TX · On-site

We have produced control packages for many of America's top corporations in the data center ... Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

Panelmatic

Data Analyst

Houston, TX

We have produced control packages for many of America's top corporations in the data center ... Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

ExxonMobil

Data Analyst

Houston, TX · On-site

Maintain up-to-date and accurate data analysis and tool documentation for reference purposes * Evaluate current processes around data entry, data QC, report distribution and provide recommendations ...

Geico

Data Analyst

Houston, TX

$91K - $141K/yr

Strong experience performing business or data analysis in complex, fast-paced environments. * Demonstrated ability to independently lead analytical projects and manage competing priorities.

DM Clinical Research

Lead Data Analyst

Houston, TX

Manages mining, analysis, and interpretation of departmental data to demonstrate clinical, operational, and financial outcomes * Manages, tracks, and evaluates performance measures, identifies data ...

Clayton Services

Associate Data Analyst

Houston, TX · On-site

... analysis, business intelligence, reporting, or a related field • Experience with SQL and relational databases required Preferred : • Bachelor's degree in Data Analytics, Business Analytics ...

SAGIS PLLC

Data Analyst II

Houston, TX

The ideal candidate will have solid data analysis skills, be eager to learn the healthcare revenue cycle, and be able to work independently or as part of a team. Educational Requirements * Bachelor ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

... data analysis and strategic insights, focusing on AI integration and team leadership to optimize data analytics processes and ensure compliance with industry regulations. This position involves ...

Empower Pharmacy

Manager, Data Analytics

Houston, TX · On-site

Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. * Resource Management: Manage analytics resources, ensuring efficient allocation of ...

McDaniel Metals LLC

Be Seen First

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

Key Responsibilities 1. KPI Reporting & Data Analysis * Develop, maintain, and report quality KPIs (scrap, rework, defect rates, COPQ, etc.) * Analyze trends and identify recurring issues or systemic ...

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All JobsData Analysis JobsData Analysis Jobs in Spring, TX

Data Analysis information

See Spring, TX salary details

$30.3K

$73.5K

$121K

How much do data analysis jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data analysis 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 the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks such as data cleaning, visualization, and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role is evolving to include skills in machine learning, programming, and data storytelling, making human expertise crucial alongside AI capabilities.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, mastering advanced techniques or gaining extensive experience typically requires longer, and success depends on prior background, dedication, and access to quality training resources.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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 statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Spring, TX? The most popular types of Data Analysis jobs in Spring, TX are:
What are popular job titles related to Data Analysis jobs in Spring, TX? For Data Analysis jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analysis jobs in Spring, TX look for? The top searched job categories for Data Analysis jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analysis jobs? Cities near Spring, TX with the most Data Analysis job openings:
Data Analysis jobs near you
PS Data Analyst

PS Data Analyst

HP Development Company, L.P.

Spring, TX • On-site

$83K - $127K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 18 days ago

Job description

PS Data Analyst
Description -
We are looking for a Data Analyst who applies developed subject matter expertise to solve both common and complex business challenges within established guidelines. This role recommends data-driven solutions, works across diverse datasets, and contributes to impactful decision-making.
The ideal candidate demonstrates strong analytical thinking, exercises independent judgment within defined policies, and effectively navigates ambiguous or unique situations. This role may act as a team or project lead, guiding activities, supporting decision-making, and validating insights across stakeholders.
Responsibilities
  • Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.
  • Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.
  • Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.
  • Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.
  • Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.
  • Provides guidance and mentoring to less- experienced staff members.

Knowledge & Skills
  • Strong understanding of data analysis methodologies, statistical concepts, and data validation techniques.
  • Proficiency in Python for data analysis.
  • Experience with data visualization tools such as Tableau to build dashboards and communicate insights effectively.
  • Foundational knowledge of AI, including the ability to use AI-enabled tools to enhance data analysis.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work with structured and unstructured data from multiple sources.
  • Excellent communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences.
  • Ability to influence stakeholders and support data-driven decision-making at different organizational levels.

Scope & Impact
  • Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners.
  • Typically interacts with high-level Individual Contributors, Managers and Program Core Teams.
  • Participates in projects requiring data science engineering.

Education & Experience
  • Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • 4-6 years' experience including graduate or postgraduate research.

The pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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