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Data Jobs in The Colony, TX (NOW HIRING)

Data Analysis Incorporated

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

About Us Data Analysis Incorporated (DAI) is the controlling entity of the O'Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity ...

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See The Colony, TX salary details

$42.7K

$153K

$225.8K

How much do data jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data in The Colony, TX is $153,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $157,600.00 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.
More about Data jobs

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

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

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

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

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

What cities near The Colony, TX are hiring for Data jobs?

Cities near The Colony, TX with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in The Colony, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,022 per year, or $73.6 per hour.

Data Architect

Data Analysis Incorporated

Plano, TX • On-site

$61 - $78.50/hr

Full-time

Re-posted 7 days ago

Job description

About Us
Data Analysis Incorporated (DAI) is the controlling entity of the O'Neil family of businesses. DAI and its subsidiaries operate in diverse industries worldwide, including global equity markets, health care, financial services, digital news, and insurance. Our global footprint allows our teams to be responsive to customer needs in a timely and efficient manner. We are dedicated to using technology and innovation to bring change and growth to our businesses. We believe in a dynamic workplace, creating engaging, informative products and services that help our customers succeed. Integrity is an essential characteristic for our firms and our associates
Summary
The Data Architect is responsible for leading the design, review, and optimization of enterprise data solutions. This role establishes data architecture standards, promotes database design best practices, and provides technical leadership for high-performance relational database environments. The position partners with Engineering and Database Administration teams to deliver scalable, maintainable, and secure data platforms that support business growth.
Duties and Responsibilities
  • Design and review high-performance relational database architectures for enterprise applications.
  • Define and promote data modeling standards, architectural patterns, and database design best practices.
  • Collaborate with engineering teams to ensure scalability, maintainability, and performance of solutions.
  • Partner with Database Administrators to optimize database structures, indexing strategies, and query performance.
  • Conduct architectural reviews and identify inefficiencies, anti-patterns, and technical debt.
  • Provide guidance on transaction processing, concurrency, locking, and data integrity within OLTP environments.
  • Establish standards and governance practices for database development and deployment.
  • Support performance troubleshooting, root cause analysis, and remediation of database-related issues.
  • Contribute to strategic initiatives involving data integration, reporting, and data warehousing.
  • Document architectural decisions, standards, and recommended practices.

Qualifications & Requirements
Required Education, Experience, Certification/Licensure
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • 10+ years of experience designing and implementing relational database solutions.
  • Expert-level knowledge of relational databases such as: Microsoft SQL Server, PostgreSQL, and/or Oracle.
  • Strong understanding of OLTP database design principles and performance optimization techniques.
  • Experience with data modeling, schema design, query tuning, indexing strategies, and transaction management.

Preferred Education, Experience, Certification/Licensure
  • Experience with data warehouse architecture and dimensional modeling.
  • Knowledge of ETL/ELT design patterns and data integration architectures.
  • Experience with cloud-based database platforms and hybrid architectures.
  • Experience creating and enforcing enterprise data standards and governance frameworks.

Knowledge, Skills and Abilities (KSAs)
  • Advanced expertise in relational database architecture and data modeling.
  • Strong analytical and problem-solving skills.
  • Deep understanding of database design patterns, best practices, and anti-patterns.
  • Ability to influence technical direction across teams.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage multiple initiatives.

Working Conditions
Must be able to perform essential job duties. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each workday), hear the telephone, and enter data on a computer and may also require the ability to lift up to 10 pounds.
Equal Opportunity Employer
Data Analysis Inc is an equal opportunity employer. All aspects of employment, including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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