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Data Jobs in Spring, TX (NOW HIRING)

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 ...

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office. Job Family Definition Designs, develops and applies programs, methodologies ...

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 is critical to KIPP Texas achieving this work. This individual must be as much a people person as a numbers person - collaboration and building strong cross-functional partnerships ...

The Data Analyst is critical to KIPP Texas achieving this work. This individual must be as much a people person as a numbers person - collaboration and building strong cross-functional partnerships ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have (Technical Expertise & Core Responsibilities) * Data Science & Machine Learning: * Strong foundation ...

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

Data Architect

Houston, TX ยท On-site

$106K - $176K/yr

Provides senior data architecture leadership for the FMBT Interface effort, defining data standards, models, integration patterns, crosswalks, enrichment approaches, reconciliation processes, and ...

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This role builds the infrastructure and analytics models that convert raw data into actionable insights ...

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 ...

Data Scientist

Houston, TX ยท On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

The Data Analyst is critical to KIPP Texas achieving this work. This individual must be as much a people person as a numbers person - collaboration and building strong cross-functional partnerships ...

Data Architect

Houston, TX ยท On-site

$60.75 - $78.25/hr

The Data Architect is responsible for designing and building Harris County Public Health data systems. They will provide expert guidance in identifying internal and external data sources, and ...

Showing results 21-40

Data information

See Spring, TX salary details

$38.9K

$139.7K

$206.1K

How much do data jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data in Spring, TX is $139,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $143,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Spring, TX?

The most popular types of Data jobs in Spring, TX are:

What are popular job titles related to Data jobs in Spring, TX?

For Data jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Data jobs in Spring, TX look for?

The top searched job categories for Data jobs in Spring, TX are:

What cities near Spring, TX are hiring for Data jobs?

Cities near Spring, TX with the most Data job openings:

Infographic showing various Data job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $151,946 per year, or $73.1 per hour.

Data Analyst

Houston, TX โ€ข On-site

Full-time

Re-posted 8 days ago


Job description

Full Job Description

Job Description:

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 leads to
understand, shape and detail business and functional requirements, and
to work with the development leads to ensure that the requirements have
been successfully translated into technical specifications. As a result,
the requirement is for a resource who has in-depth experience and
knowledge in wealth management.

Detailed exposure to one or more of functional data requirements, data modeling, data cataloging, data modeling

  • Experience in creating data catalogs using tools like data.world, Alation, Collibra, etc.
  • Proven track record of detailed business and functional requirements
  • Wealth management domain experience is preferred
  • Experience of working with development teams to implement technology solutions
  • Strong analytical, problem-solving skills
  • Strong organizational, multitasking, and prioritization skills
  • Strong written and verbal communication skills with excellent working knowledge of Microsoft Office tools.