1

Data Analyst Computer Science Jobs in Pennsylvania

Data Analyst Position type: FT (Exempt) Location: Administrative Offices Join the CReW! We offer ... Bachelor's degree in Information Science, Risk Analysis, Geospatial Technology, Computer ...

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 ...

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 ...

Bachelor's degree in business , Data Science, Computer Science, Finance, or related field . Graduate degree preferred. * Strong SQL and Python skills with experience analyzing large-scale structured ...

Collect and analyze data from design-space explorations. * Write internal reports, white papers ... Master's degree in Computer Science or Electrical Engineering and 3+ years of industry experience ...

- 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 ...

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with the ability to work independently and ...

New

Partner with stakeholders (Product, Data Science, Sales, Professional Services, and Client Services) in the delivery of analytics that will strengthen our data products and reduce client support ...

next page

Showing results 1-20

Data Analyst Computer Science information

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type 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, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

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.
What job categories do people searching Data Analyst Computer Science jobs in Pennsylvania look for? The top searched job categories for Data Analyst Computer Science jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Analyst Computer Science jobs? Cities in Pennsylvania with the most Data Analyst Computer Science job openings:
Data Analyst

Data Analyst

Capital Region Water

Harrisburg, PA • On-site, Remote

Full-time

Posted 24 days ago


Job description

We are always looking for talented, energetic, and hard-working employees that want to serve their community
Company name: Capital Region Water
Title of position: Data Analyst
Position type: FT (Exempt)
Location: Administrative Offices
Join the CReW!
We offer competitive compensation, benefits, and opportunities for training and career development.
Description of responsibilities:
The Data Analyst is responsible for managing asset management systems, executing complex queries, and providing technical support to ensure efficient asset management operations. This role involves collaborating with stakeholders, developing work processes, supporting capital improvement planning, and implementing best practices. This position works closely with Engineering, IT, Operations, and Leadership to support strategic, organizational asset initiatives.
  • Administer and maintain asset management systems, including CMMS and risk modeling software
  • Configure, update, and enhance Cityworks and related systems to support operational needs
  • Perform complex SQL queries and analyze data from CMMS, GIS, and other systems
  • Utilize SQL to extract data for analysis workbooks, including pivot/visual charts, refreshable data pulls, built-in data models, data processing, updates, PowerBI visualizations, Excel models, and geospatial plotting
  • Support asset management planning, inventorying, and risk profiling initiatives
  • Collaborate with stakeholders to gather requirements and develop work processes for asset management software systems
  • Field and prioritize support requests related to asset management systems, including access/function issues, process procedures, updates, and training requests
  • Train end-users on asset management systems and best practices
  • Develop procedures for routine requests to ensure repeatable processes
Required experience:
  • Minimum of 4 years of progressive experience in asset management, data analysis, or business case analysis
  • Experience working with enterprise utility software systems
  • Experience performing complex data queries and developing analytical solutions
  • Experience collaborating with internal and external stakeholders across departments
Required skills:
  • Strong proficiency in SQL and relational database management
  • Knowledge of asset management principles, best practices, and software
  • Experience with ESRI GIS principles and feature sets
  • Advanced data analysis, modeling, and visualization skills
  • Proficiency with Microsoft Office tools, especially Excel (Power Query platform) and Power BI
  • Strong verbal and written communication skills. Strong problem-solving and analytical thinking abilities
  • Ability to manage multiple projects and prioritize tasks effectively
  • Ability to train and support end-users on technical systems
  • Advanced knowledge of federal, state, and local regulations related to asset management and reporting requirements
  • Thorough knowledge of drinking water, wastewater and stormwater operations and structure
Required Education:
  • Bachelor’s degree in Information Science, Risk Analysis, Geospatial Technology, Computer Information Systems, or a related field
  • Equivalent combinations of education and experience may be considered
How to apply: Careers - Capital Region Water
For information on Capital Region Water, including more information on employee benefits and our company culture, visit our website at Home - Capital Region Water
Capital Region Water is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Capital Region Water actively promotes a diverse and drug-free workplace.