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Data Analyst Computer Science Jobs in Windermere, FL

Data Analyst

Orlando, FL ยท On-site

$70 - $100/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field. * Preferred Qualification: Master's degree in Data Science, Business Analytics, or a ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial Engineering, Statistics, Mathematics, Economics, Data Science, or a related field * 1+ years of ...

Data Analyst III

Orlando, FL ยท On-site +1

$120K - $140K/yr

S. work authorization is required. โ€ข Bachelor's degree in information systems, Computer Science, Data Science or Analytics, Engineering, or a related field. Master's preferred. โ€ข Eight (8) or ...

Data Analyst III

Orlando, FL ยท Remote

$120K - $140K/yr

U.S. work authorization is required. ยท Bachelor's degree in information systems, Computer Science, Data Science or Analytics, Engineering, or a related field. Master's preferred. ยท Eight (8) or ...

Senior Data Analyst - CRM

Orlando, FL ยท On-site

$80 - $100/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent experience. 5+ years of experience in data or sales analytics, business ...

Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, Finance, or a related field. * Strong technical, analytical, and problem-solving skill * Familiarity with ...

Skilled at breaking down algorithm analysis, data structure implementation, and systems-level ... Familiar with college computer science curricula and common challenges such as understanding ...

Data Analyst

Orlando, FL ยท On-site

$70 - $110/hr

Profile data and conduct quality assessments across critical systems, analyzing datasets to ... Must be able to remain in a stationary position at a desk and/or computer for extended periods of ...

Responsibilities: The Data Analyst is responsible for ensuring enterprise data is accurate ... Must be able to remain in a stationary position at a desk and/or computer for extended periods of ...

Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field * Strong analytical and problem-solving ...

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Data Analyst Computer Science information

See Windermere, FL salary details

$30.3K

$73.5K

$121K

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

As of Aug 26, 2026, the average yearly pay for data analyst computer science in Windermere, FL is $73,546.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a data analyst in computer science?

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.

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 problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near Windermere, FL are hiring for Data Analyst Computer Science jobs?

Cities near Windermere, FL with the most Data Analyst Computer Science job openings:

$70 - $100/hr

Other

Posted 7 days ago


Job description

  • Minimum Requirement: Bachelor's degree in Data Science, Statistics, Computer Science, Information Management, or a related field.
  • Preferred Qualification: Master's degree in Data Science, Business Analytics, or a related discipline.
  • Certifications: Certifications in data analysis software (such as SAS, R, Python), big data technologies, or business intelligence platforms like Tableau or Power BI are highly desirable.
2. Professional Experience:
  • Minimum Years of Experience: At least 3-5 years of experience in data analysis, preferably within the sectors relevant to the project such as government, healthcare, or public administration.
  • Specific Experience: Experience with managing and analyzing large datasets, creating reports, and providing actionable insights. Experience in working with compliance or regulatory data within a structured project environment is a plus.
3. Skills and Competencies:
  • Analytical Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Technical Skills: Proficiency in database management and data analysis software (e.g., SQL, Python, R), as well as advanced proficiency in spreadsheet tools like Microsoft Excel.
  • Communication Skills: Excellent communication skills to effectively present findings and insights to both technical and non-technical stakeholders.
4. Knowledge:
  • Statistical and Mathematical Knowledge: Solid understanding of statistical testing and modeling techniques that are essential for analyzing complex data.
  • Data Privacy and Security Knowledge: Awareness of data privacy standards and best practices, especially in handling sensitive or personal data, which is crucial in government and healthcare sectors.
  • Problem-solving Abilities: Ability to approach complex data-related problems with a clear analytical methodology and solve them efficiently.
  • Attention to Detail: Meticulous attention to detail to ensure the accuracy of data and analysis.
  • Proactivity: Proactive in identifying trends, anomalies, and opportunities in the data to drive project objectives.
6. Responsibilities:
  • Data Collection and Management: Collect, process, and clean data from multiple sources to ensure it is ready for analysis.
  • Data Analysis and Reporting: Analyze data using statistical techniques and tools, and create reports and dashboards that clearly communicate the findings and recommendations.
  • Support Decision Making: Provide data-driven insights to support strategic decisions and project initiatives.
  • Continuous Learning: Stay updated with the latest trends, tools, and technologies in data analysis to enhance project outcomes and efficiency.

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