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Data Jobs in Forney, 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 ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site

$75K - $130K/yr

Req ID: 376258 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

NTT DATA Services

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Req ID: 376258 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking ...

NTT Data, Inc.

Data Center Technician L1

Garland, TX · On-site

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

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All JobsData JobsData Jobs in Forney, TX

Data information

See Forney, TX salary details

$41.4K

$148.7K

$219.4K

How much do data jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data in Forney, TX is $148,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,300.00 and $153,100.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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 is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

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 interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

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 skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Forney, TX? The most popular types of Data jobs in Forney, TX are:
What cities near Forney, TX are hiring for Data jobs? Cities near Forney, TX with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Forney, TX as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $148,658 per year, or $71.5 per hour.
Data Architect

Data Architect

Data Analysis Incorporated

Plano, TX • On-site

$61 - $78.50/hr

Full-time

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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