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Data Analyst Computer Science Jobs in Texas (NOW HIRING)

Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science, related field, or equivalent experience. * At least 1-2 years of experience in quantitative ...

Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science, related field, or equivalent experience. * At least 1-2 years of experience in quantitative ...

Bachelor's Degree in Data Science, Data Analytics, Business, Finance, Mathematics, Computer Science, related field, or equivalent experience. * At least 1-2 years of experience in quantitative ...

Senior Data Analyst

Austin, TX ยท On-site +1

$86K - $109K/yr

Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science ... data science, reporting and analytics, economics, or public health. * 3 years experience in SQL ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Bachelor's degree in Forestry, Environmental Science, Data Science, Statistics, Computer Science, or a related field; Master's degree preferred. * Minimum of 5 years of experience in data analysis ...

Sr. Data Analyst Snowflake

Houston, TX ยท On-site

$82K - $103K/yr

Bachelor's or Master's degree in Data Science, Computer Science, or a related field. * Proven experience as a data analyst with a focus on Snowflake data platform. * Advanced proficiency in SQL and ...

The data science analyst will also analyze and manipulate large-scale data sets from a multitude of ... Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine ...

Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred * Minimum 3 years' of hands-on experience in a data analyst or similar ...

Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ years of post-graduation experience. * 2+ years of SQL Server experience, including data cleansing ...

Data Analyst

Dallas, TX ยท On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... Bachelor's Degree in MIS, Statistics, Mathematics, Business Management, Computer Science or a ...

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

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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.
What job categories do people searching Data Analyst Computer Science jobs in Texas look for? The top searched job categories for Data Analyst Computer Science jobs in Texas are:
What cities in Texas are hiring for Data Analyst Computer Science jobs? Cities in Texas with the most Data Analyst Computer Science job openings:

Full-time

Posted 4 days ago


Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Analyst/Engineer for one of our client, Please share your resume with current location & full contact info
Role:Data Analyst/Engineer
Location:Austin, TX (OR ) San Francisco Bay Area, CA - Onsite
Only W2
Job Summary:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
4+ years of experience querying non relational databases using SQL or Python.
4+ years of experience working in an analytical capacity developing insights, defining metrics, and making recommendations.
Presentation and communications experience with extracting insights from technical data sets to varied audiences.
Experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans.
Responsibilities
Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way.
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
Support existing processes running in production and implement optimized solutions with limited guidance.
Build dashboards and reports to track effectiveness and efficiency improvements over time, and guide future decisions.
Establish close working relationships with a variety of cross-functional stakeholders including deal leads, data engineering, and product development teams.
With regards
Naveen | Talent Acquisition
Rootshell Enterprise Technologies Inc.
Naveen@rootshellinc.com | www.rootshellinc.com