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Data Analyst Computer Science Jobs in Pennsylvania

Cmu

Data Scientist

Pittsburgh, PA · On-site

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives ...

Constellis

Data Analyst

Philadelphia, PA · On-site

$17.92/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... Computer skills -- Utilizes a personal computer with word processing, spreadsheet and related ...

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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
Lead Financial Data Analyst

Lead Financial Data Analyst

Lutron Electronics Co., Inc

Coopersburg, PA • On-site

Full-time

Posted 17 days ago

Lutron Electronics rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

26th of 143 rated electronics manufacturers

Job description

Overview
We are seeking a Lead Financial Data Analyst to support the Financial Planning & Analysis (FP&A) organization at our Global Headquarters in Coopersburg, PA. The Lead Financial Data Analyst will be responsible for driving enterprise analytics, reporting strategy, and data-driven decision making across the organization and beyond.
This role will lead the development of scalable reporting solutions, KPI frameworks, data models, and analytical capabilities that enable business leaders to understand performance drivers, identify opportunities, and make informed strategic decisions. The Lead Financial Data Analyst will serve as a key partner to Finance, Sales, Operations, Accounting, IT, and Data teams to improve data accessibility, governance, and analytical maturity across the organization.
Responsibilities
  • Design, develop, and maintain executive-level FP&A reports, dashboards, and KPI scorecards using Power BI, Excel, and ERP systems.
  • Lead the collection, analysis, and interpretation of financial and operational data to identify trends, risks, opportunities, and performance drivers.
  • Partner with Finance, Sales, Accounting, Operations, IT, and internal data teams to establish data governance standards, business definitions, and reporting consistency across enterprise metrics.
  • Lead the development and automation of data models, reporting processes, and business intelligence tools to improve efficiency and accuracy.
  • Collaborate with technical teams to improve data integration, reporting architecture, and data structures that support enterprise reporting and analytics initiatives.
  • Ensure the accuracy, consistency, and reliability of reporting outputs by identifying data quality issues and implementing process improvements.
  • Identify opportunities to streamline reporting processes, enhance data accessibility, and improve the overall effectiveness of business intelligence and analytics capabilities.

Qualifications
  • Bachelor's degree in Data Analytics, Business Analytics, Finance, Information Systems, Computer Science, Statistics, Economics, or a related field required
  • Minimum cumulative 3.00 GPA required
  • Minimum 4 years of work experience in data analytics, business intelligence, FP&A reporting, financial analytics, or a related analytical role required
  • Proficiency in Power BI and Microsoft Excel, including dashboard development, data modeling, and visualization platforms required
  • Working knowledge of ERP systems such as SAP, Oracle, JD Edwards, or similar enterprise applications required
  • Experience designing and maintaining dimensional data models, semantic layers, or enterprise reporting datasets required
  • Proficiency in SQL for data extraction, transformation, and analysis required
  • You are authorized to work in the U.S. and will not require Lutron to sponsor you for any work visa, such as an H-1B, either immediately or at any time in the future. Lutron does not offer work visa sponsorship for this position.

Preferred Qualifications:
  • Experience supporting Finance, FP&A, Sales, Operations, or Accounting organizations
  • Experience supporting executive-level reporting and decision-making processes
  • Knowledge of enterprise data platforms and cloud-based analytics environments, including Denodo, AWS, Microsoft Fabric, or similar technologies
  • Proficiency with Python, R or other analytical automation tools preferred
  • Knowledge of data warehousing, ETL processes, and data governance frameworks
  • Experience implementing reporting automation and self-service business intelligence solutions

Lutron Electronics' position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation of unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our worldwide customers. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com.
Lutron Electronics is an Equal Opportunity - Affirmative Action - Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics
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