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Computer Data Analyst Jobs (NOW HIRING)

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates ... Manual dexterity associated with computer data entry required.

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates ... Manual dexterity associated with computer data entry required. Equal Opportunity Employer This ...

Using our analytics and visualization tools, you will gain experience working with industry-leading ... Filter and "clean" data by reviewing computer reports and performance indicators to locate and ...

Our data analytics advisory services enable our customers to transform data into insights by ... Bachelor's degree in Computer Science, a related field, or equivalent experience * 2+ years of ...

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

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Supermicro is seeking a Data Analyst to join our team. In this role, you will work closely with Sales, Operations, Product Management, and Procurement teams to coordinate forecast meetings, foster ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... reviewing computer reports, printouts, and performance indicators to locate and correct code ...

S. in Mathematics, Engineering, or Computer Science Additional Information All your information will be kept confidential according to EEO guidelines.

Associate's or Bachelor's Degree in Computer Science, Information Systems, Data Analytics, or a related field, or equivalent work experience. * 1-3 years of IT, data analysis, reporting, business ...

Bachelor's degree in Data Science, Statistics, Computer Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools ...

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.

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Bachelor's degree in a technical discipline such as Computer Science, Information Systems ...

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Computer Data Analyst information

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$34K

$82.6K

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How much do computer data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for computer data analyst 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 a Computer Data Analyst job?

A Computer Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They work with large datasets, use statistical methods, and create reports or visualizations to identify trends and patterns. Analysts often use tools like SQL, Python, Excel, and data visualization software to transform raw data into actionable insights. Their role is essential in various industries, including finance, healthcare, marketing, and technology.

Can ISFJ be a data analyst?

Yes, ISFJ personality types can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel or SQL. While personality can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

Is AI replacing data analysts?

AI tools are increasingly automating routine data processing and analysis tasks, but data analysts remain essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a data analyst involves skills in data visualization, statistical analysis, and domain knowledge, which are not fully replaceable by AI at this time.

What typical career growth opportunities are available for a Computer Data Analyst?

Computer Data Analysts often have multiple paths for career advancement, including moving into senior analyst positions, data science roles, or management tracks such as Data Analytics Manager or Business Intelligence Lead. As you gain experience, you may also specialize in niche areas like machine learning, big data engineering, or industry-specific analytics (e.g., healthcare or finance). Many organizations support ongoing training and certification to help analysts stay current with emerging tools and trends. Strong performance and the ability to deliver impactful insights can lead to higher-level responsibilities and leadership opportunities within analytics teams.

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

To thrive as a Computer Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a background in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms (like Tableau or Power BI), as well as relevant certifications, is typically expected. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings effectively make candidates stand out in this role. These skills are vital for accurately analyzing large data sets, generating actionable insights, and supporting data-driven decision-making within organizations.

What do computer data analysts do?

Computer data analysts collect, process, and analyze large sets of data to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail. Their work helps organizations improve efficiency, optimize operations, and develop strategic plans.

Is 40 too late for data science?

A computer data analyst can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization. Many professionals successfully switch careers later in life by gaining relevant certifications and experience with tools like Python, R, and SQL.
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Data Analyst

Full-time

Posted 3 days ago


Job description

Overview:

The Data Analyst makes sense of past and present data for end consumers. The Data Analyst curates and deploys reporting and business intelligence solutions to empower data consumers with actionable insights.

Essential Functions:

1. Report Development and Data Validation Process: 75%

  • Designs and deploys custom reports with analytic tools and Power BI based on business requirements.
  • Gathers and analyzes user requirements to understand reporting needs and translates them into effective reporting solutions.
  • Performs data modeling and data analysis to ensure accuracy, consistency, and reliability of reports and dashboards.
  • Collaborates with business stakeholders, analysts, and development teams to identify and define key performance indicators and metrics for reporting.
  • Conducts thorough testing and validation of reports and dashboards to ensure data accuracy and quality.

2. Technical Support and Maintenance:10%

  • Provides technical support and troubleshooting for Power BI and/or other BI applications utilized within the organization to deliver solutions.

3. Performs other duties as assigned by management. 10%

Education and Experience:

  • Degree in Analytics, Statistics, Data Science, or related field required.
  • Experience in gathering and analyzing business requirements to design reporting solutions required.

Skills/Abilities:

  • Excellent verbal and written communication skills.
  • Intermediate experience writing SQL queries.
  • Strong Power BI skills and experience with analytic application tools.
  • Proficient with Microsoft Office Suite, or other related software.
  • Proficient in data-driven storytelling.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Solid understanding of database concepts and data modeling.
  • Able to learn about, understand, and interpret complex data.
  • Able to work autonomously and collaboratively with cross-functional teams.
  • Able to prioritize effectively and meet deadlines in a fast-paced environment.
  • Able to stay current with the latest application updates, industry trends and best practices in reporting and business intelligence.

Work Environment:

  • Office environment.

Physical Demands:

  • Prolonged periods of sitting at a desk and working on a computer.
  • Manual dexterity associated with computer data entry required.