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Data Analyst Computer Science Jobs (NOW HIRING)

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Data Analyst

Arlington, VA · On-site

$85K - $110K/yr

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field, or equivalent combination of education and experience. * One year of experience in a data ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field, or equivalent combination of education and experience. * One year of experience in a data ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Job Title: Data analyst Location: Onsite Long Term Contract Job Summary: We are looking for an ... Bachelor's degree in computer science, mathematics, or statistics preferred. Proactiveness.

Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. * Additional applicable experience may be substituted for formal ...

Data Analyst

Weiser, ID · On-site

$75K - $90K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, or a related field, or equivalent combination of education and experience. * One year of experience in a data ...

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Data integration * ETL Development Qualifications ... Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field * 1-3 ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

Preferred : • Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred. • 2+ or more years of experience in project ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... Computer Science, Information Management or Statistics Skills: SQL, python, r, excel, tableau ...

Showing results 21-40

Data Analyst Computer Science information

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$34K

$82.6K

$136K

How much do data analyst computer science jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data analyst computer science 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.

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 cities are hiring for Data Analyst Computer Science jobs? Cities with the most Data Analyst Computer Science job openings:
What states have the most Data Analyst Computer Science jobs? States with the most job openings for Data Analyst Computer Science jobs include:
Infographic showing various Data Analyst Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

AvePoint

Arlington, VA • On-site

$85K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Job Summary:
AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance, customer usage, licensing, and marketing-to provide insights into how our partners drive revenue growth, customer adoption, and long-term retention. Your work will help leadership make decisions on where to invest, which partners to prioritize, and how to grow our channel business effectively.
Key Responsibilities:
  • Partner Performance Analysis
    Analyze how partners contribute to revenue growth, pipeline creation, and customer expansion across regions, channels, and segments.
  • Partner Health & Engagement Insights
    Develop lifecycle metrics and scorecards to assess partner effectiveness based on engagement, product adoption, customer satisfaction, and training participation.
  • Revenue & Forecasting Support
    Support reporting on recurring revenue (ARR), renewals, and pipeline, helping leadership understand growth trends and risks within the partner ecosystem.
  • Customer & Partner Relationship Insights
    Analyze how customers move between direct sales and partners, and identify opportunities for expansion and retention through partner channels.
  • Partner Marketing Analytics
    Measure the impact of partner-driven campaigns and initiatives on new partner acquisition and existing partner growth.
  • Predictive & Strategic Analysis
    Build models to identify high-growth partners, at-risk partners, and opportunities to improve partner coverage or investment.
  • Dashboarding & Executive Reporting
    Create clear, executive-ready dashboards and insights that help sales, marketing, and partner teams take action.
  • Cross-Functional Collaboration
    Partner with Sales/Go-To-Market, Partner Programs, Marketing, RevOps, and Finance to align on metrics, reporting, and business priorities.

Qualifications:
  • Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred.
  • Experience: 3+ years of experience in data analysis, preferably in a SaaS or technology environment, with a focus on customer data analytics. Experience in SaaS B2B performance metrics such as Annual Recurring Revenue, Net Recurring Revenue, and Gross Recurring Revenue analysis is a plus.
  • Technical Skills: Proficiency in SQL, Python/R, and data visualization tools (e.g., Power BI, Tableau) a must. Experience with customer systems such as CRM systems (e.g., Dynamics CRM, PRMs), Gainsight CS, Everstage Commission, Segment Marketing, DealHub, OutReach, and Zoominfo experience are also a plus.
  • Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively.
  • Attention to Detail: High level of accuracy and attention to detail in data handling and analysis.
  • Business Acumen: Understanding of sales, marketing, and customer success processes and how data can inform strategy and decision-making.
  • Team Player: Ability to work collaboratively in a fast-paced, dynamic environment

The Salary Range for this role is $85,000 - $110,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary range represents a good faith estimate, with final offers based on location, experience, skills, and qualifications. The listed range reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions-apply even if your expectations fall outside the range.
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