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Data Analyst Computer Science Jobs in Pennsylvania

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or a similar field. * Expertise in SQL for data querying, performance optimization, and database ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics , or a similar field. * Expertise in SQL for data querying, performance optimization, and database ...

Pattern Data

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience * Willingness to travel or be available outside standard business hours as ...

Pattern Data

Data Solutions Analyst

Pittsburgh, PA

$80K - $110K/yr

Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience * Willingness to travel or be available outside standard business hours as ...

New

Vangard, Inc.

Senior Data Analyst

Malvern, PA

$84K - $106K/yr

Performs analyses of historical data to surface trends and insights using advanced analytical ... E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics or equivalent ...

Vanguard Group, Inc.

Senior Data Analyst

Malvern, PA · On-site

$84K - $106K/yr

Performs analyses of historical data to surface trends and insights using advanced analytical ... E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics or equivalent ...

Vanguard Group

Senior Data Analyst

Malvern, PA · On-site

$84K - $106K/yr

Performs analyses of historical data to surface trends and insights using advanced analytical ... E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics or equivalent ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

ParetoHealth

Data Analyst

Philadelphia, PA · On-site

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

ParetoHealth

Data Analyst

Philadelphia, PA · Remote

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Senior Specialist is responsible in driving data-driven decision ... Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics. * Expertise in SQL for ...

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Data Analyst - 87IB6E We're determined to make a difference and are proud to be an insurance ... Bachelor's Degree in Finance, Business Analytics, Statistics, Mathematics, or Computer Science ...

SPHERIX GLOBAL INSIGHTS US INC

Data Analyst

Exton, PA · On-site

- Data Analyst The primary role of the Data Analyst at Spherix Global Insights is to manage the ... Your inherently curious mind will be naturally inclined to the scientific and the analytical * You ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Pennsylvania

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.
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Data Analyst Computer Science jobs near you

Actuarial Data Science Analyst (Insurance Hybrid role)

PA Compensation Rating Bureau.

Philadelphia, PA • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

Essential Responsibilities:

  • Responsible for statistical analyses, actuarial and/or research models
  • Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
  • Extract, validate, and analyze data from multiple sources to support research and business initiatives.
  • Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
  • Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements:

Education: Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus.

Experience: 3 to 6 years experience in related field.

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

  • Actuarial background or experience in the property & casualty insurance industry is a plus.

Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.