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Data Analyst Computer Science Jobs in Texas (NOW HIRING)

360 IT Professionals

DATA ANALYST

Dallas, TX

Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree) Passionate about data analytics, strong strategic and ...

Src

Sr. Healthcare Data Analyst - Epic

Dallas, TX · On-site +1

$85K - $107K/yr

Bachelor's degree, preferably in healthcare analytics, computer science, data science, information technology, computer engineering, or other computational quantitative field required. * Master ...

Judit Inc

Data Analyst

Plano, TX

Master's degree in Mathematics, Computer Science, Economics, or Statistics * 5-7 years experience mining data as a data analyst or business data analyst * Proven analytic skills, including mining ...

Incedo

Data Analyst

Austin, TX · On-site

As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ... Computer science background is preferred Company Value We value diversity at Incedo. We do not ...

DaBella

Data Analyst

Austin, TX · On-site

$75K/yr

Bachelor's degree in Data Analytics, Business Intelligence, Data Science, Computer Science, Mathematics, Statistics, or a related field * 2-5 years of experience in data analysis, reporting, or ...

TWC Business Unit

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance ...

Incedo

Data Analyst

Austin, TX · On-site

As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ... Computer science background is preferred Company Value We value diversity at Incedo. We do not ...

Dabella

Data Analyst

Austin, TX · On-site

$75K/yr

Bachelor's degree in Data Analytics, Business Intelligence, Data Science, Computer Science, Mathematics, Statistics, or a related field * 2-5 years of experience in data analysis, reporting, or ...

Central Health

Data Analyst

Austin, TX · On-site +1

Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for ...

Central Health

Data Analyst

Austin, TX

Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for ...

Central Health

Data Analyst

Austin, TX

Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Texas

Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI 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, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
DATA ANALYST

DATA ANALYST

360 IT Professionals

Dallas, TX

Full-time

Posted 23 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.

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