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Data Analyst Computer Science Jobs in Bethlehem, PA

GARGI TECHNOLOGIES INC

Data Analyst

Pennsburg, PA · On-site

Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. * 2+ years of experience in Data Science, Machine Learning, or Analytics ...

Varsity Tutors

AP Computer Science A Tutor

Allentown, PA · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Everest

Senior Analyst - Data Products

Warren, NJ · On-site

$134K - $175K/yr

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field. * 5-8 years of experience in data analysis, business analysis, or data product delivery within an ...

Everest

Senior Analyst - Data Products

Warren, NJ · Hybrid

$134K - $175K/yr

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field. * 5-8 years of experience in data analysis, business analysis, or data product delivery within an ...

Everest Re Group

Senior Analyst - Data Products

Warren, NJ · Hybrid

$134K - $175K/yr

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, or a related field. * 5-8 years of experience in data analysis, business analysis, or data product delivery within an ...

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Data Analyst Computer Science information

See Bethlehem, PA salary details

$33.6K

$81.7K

$134.4K

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

As of Jul 6, 2026, the average yearly pay for data analyst computer science in Bethlehem, PA is $81,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,800.00 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.
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Data Analyst Computer Science jobs near you

Data Analyst

GARGI TECHNOLOGIES INC

Pennsburg, PA • On-site

Other

Posted 23 days ago

Job description

 Data Scientist | Full-Time

🚀 We''re Hiring: Data Scientist

Are you passionate about turning data into actionable insights? We are looking for a Data Scientist who can leverage advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, and business opportunities.
  • Build, validate, and deploy machine learning models for predictive and prescriptive analytics.
  • Develop data pipelines and workflows to support data collection, processing, and reporting.
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders.
  • Create dashboards, visualizations, and reports to communicate findings effectively.
  • Perform exploratory data analysis (EDA) and feature engineering.
  • Monitor model performance and recommend improvements as needed.

Required Skills & Qualifications

  • Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • 2+ years of experience in Data Science, Machine Learning, or Analytics roles.
  • Strong proficiency in Python and SQL.
  • Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Solid understanding of statistics, probability, hypothesis testing, and predictive modeling.
  • Experience working with data visualization tools such as Tableau, Power BI, or Looker.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
  • Experience handling structured and unstructured datasets.

Preferred Qualifications

  • Experience with NLP, Deep Learning, Computer Vision, or Generative AI projects.
  • Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
  • Experience deploying machine learning models in production environments.
  • Knowledge of MLOps practices and tools.

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