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Data Analyst Tech Jobs in Dallas, TX (NOW HIRING)

The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create ...

... Technology processes as part of the DCRM work. • Consolidation of existing artifacts like Data ... • Analyze data elements within the data services. • Assist in root cause analysis for the ...

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... of data, technology, and the business. You'll be close to the data - and close to the users ...

Hi, Our client is looking for an Data Analyst in Dallas, Texas location below is the detailed requirement. Job Title: Data Analyst Location: Dallas, Texas * Bachelor's degree (or equivalent) Or ...

Data Analyst

Irving, TX · On-site +1

Projects will also involve collaboration with the Information Technology and Data Science teams. What you'll do: * Partner with colleagues to do analysis that surfaces actionable insight for the BTI ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the ...

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a ... The Data Analyst will use client platform data to identify trends, patterns, and actionable ...

Apart from this, we also provide IT Staffing services that can help your organization to a great ... Position: Data Analyst Location: Irving, TX Duration: 6+ Months Only Local Candidates as F2F ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

... themselves--enabling next-generation technologies in robotics, automation, aerospace ... The Data Analyst will be a key member of MP Magnetics analytics team. Position Responsibilities:

... themselves--enabling next-generation technologies in robotics, automation, aerospace ... The Data Analyst will be a key member of MP Magnetics analytics team. Position Responsibilities:

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

Stay updated on the latest trends and technologies in data analysis, visualization, and workflow automation. * Qualifications: * Bachelor's degree in Forestry, Environmental Science, Data Science ...

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Data Analyst Tech information

See Dallas, TX salary details

$33.6K

$81.8K

$134.6K

How much do data analyst tech jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data analyst tech in Dallas, TX is $81,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What does a data analyst do in tech?

A data analyst in tech collects, processes, and analyzes large datasets to identify trends, generate reports, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and attention to detail.

What are some common challenges Data Analyst Tech professionals face when working with large datasets?

Data Analyst Tech professionals often encounter challenges such as ensuring data quality, managing inconsistencies, and handling missing or incomplete information when working with large datasets. Additionally, optimizing data processing for speed and efficiency can be demanding, especially when using complex analytical tools. Collaborating closely with IT and engineering teams is crucial to address these challenges and maintain data integrity throughout all stages of analysis.

What are the key skills and qualifications needed to thrive as a Data Analyst Tech, and why are they important?

To thrive as a Data Analyst Tech, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or information technology. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required, along with certifications like Microsoft Certified Data Analyst Associate. Exceptional attention to detail, critical thinking, and effective communication are highly valued soft skills for interpreting data and sharing insights. Mastery of these skills ensures accurate data-driven decision-making and clear communication of findings to stakeholders.

Is 40 too late for data science?

Data Analyst roles often value skills and experience over age, and many professionals transition into data science at various ages, including 40 or older. Gaining relevant skills such as programming, statistics, and tools like Python or SQL can facilitate entry, and continuous learning is common in the field.

What are Data Analyst Techs?

Data Analyst Techs are professionals who use technical tools and methods to collect, process, and interpret data to help organizations make informed decisions. They often work with large datasets, using programming languages like Python or SQL, and data visualization tools to uncover trends and insights. Their work supports business strategies, identifies opportunities for improvement, and helps solve complex problems. Data Analyst Techs typically collaborate with other teams to ensure data accuracy and relevance, and to communicate their findings effectively.

What jobs pay 200,000 a year in the USA?

Data analysts typically do not earn $200,000 annually unless they hold senior or specialized roles, such as data science managers or analytics directors, often requiring advanced skills in programming, machine learning, and business strategy. High-paying roles in related fields include software engineers, IT managers, and financial analysts with extensive experience and certifications. Salary levels depend on industry, location, experience, and education.
Infographic showing various Data Analyst Tech job openings in Dallas, TX as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,785 per year, or $39.3 per hour.

Full-time

Re-posted 16 days ago


Job description

Company Description

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US.

Job Description

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create sustainable revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other marketing elements, potentially forecasting information from Corp Sales and Revenue Management, etc.) This role requires business intuition, project management experience, and a working knowledge of analytical tools.

Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis
Communicates and coordinates frequently with business stakeholders and technology teams
Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity

Qualifications

Requirements:
Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree)
Passionate about data analytics, strong strategic and critical thinking, problem-solving skills
Experience working with large datasets and reporting or visualization tools, ability to tell a story using data
Experience with Airline Corporate Sales and operations
Ability to proactively manage stakeholder expectations on current and future business needs
Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
Familiarity with database interface tools, SQL and programming concepts
Experience with statistical tools and concepts (R, SPSS, SAS)
Preferred skill set:
Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms
Experience with Business Objects-Crystal Reports or Ab Initio for reporting
Experience with Tableau, Spotfire, Alteryx or other visualization tools
Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning

Additional Information

All your information will be kept confidential according to EEO guidelines.