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Data Analysis Inc Jobs (NOW HIRING)

Data Analysis Incorporated

Data Architect

Plano, TX · On-site

$61 - $78.50/hr

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 ...

Data Analysis Inc.

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IT Services Engineer

Los Angeles, CA · On-site

$27 - $29/hr

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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to ... Responsibilities The Data Analyst will provide integral support in the areas of system modeling ...

Data Analysis Inc.

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Senior Cost Accountant - Print Manufacturing

Plano, TX · On-site

$90K - $100K/yr

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 ...

Systems Planning and Analysis

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

Overview Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to ... Responsibilities The Data Analyst will provide integral support in the areas of system modeling ...

Data Analysis Inc.

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Systems Engineer III, Los Angeles (On-Site/Hybrid)

Los Angeles, CA · On-site

$115K - $130K/yr

Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and ...

Data Analysis Inc.

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Systems Engineer III, Plano (On-Site/Hybrid)

Plano, TX · On-site

$110K - $120K/yr

Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and ...

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$34K

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How much do data analysis inc jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analysis inc in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is Data Analysis Inc?

Data Analysis Inc is typically a company or organization specializing in providing data analysis services to help businesses make informed decisions. They use statistical tools, software, and methodologies to analyze raw data, uncover patterns, and generate actionable insights. Clients often rely on these services for market research, performance tracking, or predictive analytics to drive their business strategies. Data Analysis Inc may also offer consulting, training, and customized reporting solutions to meet specific client needs.

Is it still worth it to become a data analysis inc in 2026?

A career as a data analyst remains valuable in 2026 due to ongoing demand for data-driven decision making across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with strong analytical skills. The role offers opportunities for growth into data science or management positions as organizations increasingly rely on data insights.

What is the difference between Data Analysis Inc vs Data Analytics Specialist?

AspectData Analysis IncData Analytics Specialist
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications like CAP or Microsoft Data AnalystBachelor's or higher in Data Science, Analytics, or related; certifications like CAP, Microsoft, or Google Data Analytics
Work EnvironmentCorporate offices, consulting firms, or remote settings within various industriesSimilar environments, often in tech, finance, or healthcare sectors
Employer & Industry UsageUsed by companies seeking data-driven decision making across industriesCommonly used by organizations requiring specialized data analysis roles

Data Analysis Inc and Data Analytics Specialist roles share similar credentials and work environments, often overlapping in industry usage. The main difference lies in the job scope: Data Analysis Inc may refer to a company or team, while Data Analytics Specialist is a specific job title focused on applying analytical techniques. Both roles are essential for organizations leveraging data to inform decisions.

Are data analysts still in demand?

Data analysts are currently in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or SQL enhance employability in this field.

What are some common challenges a data analyst might face when working with cross-functional teams?

Data analysts often collaborate with teams from various departments, such as marketing, finance, or product development. One common challenge is translating complex data findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning on data definitions and ensuring consistent data quality across different sources can be difficult. Effective communication and a collaborative mindset are essential for overcoming these challenges and driving impactful business decisions.

What are the key skills and qualifications needed to thrive as a data analyst?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required, and certifications in analytics can be advantageous. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

Is a data analyst well paid?

Data analysts are generally well compensated, with salaries varying based on experience, location, and industry. Entry-level positions typically start around the national average, while experienced analysts with skills in tools like SQL, Excel, and data visualization can earn higher salaries and bonuses.
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Data Analysis Inc jobs near you
Infographic showing various Data Analysis Inc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Architect

Data Analysis Incorporated

Plano, TX • On-site

$61 - $78.50/hr

Full-time

Re-posted 6 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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