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Data Analyst Computer Science Jobs in Pennsylvania

Dminds Solutions Inc.

Data Analyst

Phoenixville, PA · On-site

Data Analyst Location: Oaks, PA (Onsite/Hybrid) Duration: Long term contract Domain : Web & E ... Bachelors in Computer Science or equivalent work experience Thanks & Regards Saravanan DMinds ...

New

Judge Group, Inc.

Data Analyst

Bridgeport, PA · On-site

$70K - $85K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field Certifications * Microsoft Power BI or Data Analytics certification preferred Technical Skills * Power BI ...

GIRARD ESTATE

Computer Science Teacher

Philadelphia, PA

$50K - $70K/yr

Use assessment data to inform instructional decisions * Provide timely, meaningful feedback to ... Grades 7-12 Computer Science * Strong content knowledge in computing and digital systems

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Specialist is responsible for leveraging data-driven insights to ... Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics. * Strong proficiency in ...

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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
Data Analyst

Data Analyst

Dminds Solutions Inc.

Phoenixville, PA • On-site

Other

Posted 4 days ago

New

Job description

Job Title: Data Analyst

Location: Oaks, PA (Onsite/Hybrid)

Duration: Long term contract

Domain: Web & E-commerce applications

Note: Basically, Client is doing some Data movement from one system to another and during that time, they need AI to augment the same. So, someone with Data movement/ETLs and using AI in that will be the perfect fit)

Job Description:

  • Must have 5+ years of Strong Proficiency in SQL and Python.
  • Big Data, Data Science & Analytics (Apache Hadoop HDFS, Base/Hive/Pig/Mahout/Flume/Scoop/MapReduce/Yarn, Cloudera HD, NoSQL, R, Spark/Shark/Milb, MATLAB)

Day to Day job Duties: (what this person will do on a daily/weekly basis)

  • Design and build scalable ingestion, transformation, and processing pipelines for AI/ML.
  • Develop and maintain data storage, such as vector databases, that support Retrieval-Augmented Generation (RAG).
  • Implement data lineage, validation, and security controls to ensure high-quality data for AI models.
  • Clean and structure complex datasets for operational and analytical systems
  • Support AI Driven analytics and mapping
  • Work on Azure platform

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

  • 5+ years of Strong Proficiency in SQL and Python.
  • 5+ years of experience in working on Azure cloud environment
  • 5+ years of experience in working with AI Driven analytics
  • AI Tools: Familiarity with vector databases (e.g., Pinecone, Milvus) and frameworks like Hugging Face or LangChain.
  • Expertise in ETL/ELT pipeline design and data warehousing
  • Bachelors in Computer Science or equivalent work experience

Thanks & Regards


Saravanan

DMinds Solutions Inc.

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