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Data Analyst Jobs in Butler, PA (NOW HIRING)

Maintain data accuracy * Ability to prioritize, manage day to day activities and use time ... Perform root cause analysis and develop corrective action plans * Assess technology requirements ...

Maintain data accuracy * Ability to prioritize, manage day to day activities and use time ... Perform root cause analysis and develop corrective action plans * Assess technology requirements ...

Data Analyst information

See Butler, PA salary details

$30.7K

$74.5K

$122.6K

How much do data analyst jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data analyst in Butler, PA is $74,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
What are the most commonly searched types of Data Analyst jobs in Butler, PA? The most popular types of Data Analyst jobs in Butler, PA are:
What cities near Butler, PA are hiring for Data Analyst jobs? Cities near Butler, PA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Butler, PA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Hybrid job distribution, with an average salary of $74,502 per year, or $35.8 per hour.

GSS Data Analyst - Cranberry, PA

Veteran Jobs - 2023 Mar 01 - Veterans Resources

Cranberry Township, PA • Hybrid

$64K - $81K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

On behalf of VetJobs/MilitarySpouseJobs, thank you for your interest. We are assisting our partnering company, listed below, with this position. It is open to Veterans, Transitioning Military, National Guard Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow for next steps.
Requisition Number:  31965
Company:  Westinghouse Electric Co
Location:  Cranberry Township, US
Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.
About the role:
As a GSS Data Analyst you will prepare data to be used by the Business Reporting & Analytics (BR&A) team across multiple areas of reporting. You will gather requirements from stakeholders and complete data transformation according to those requirements. You will report to the Manager, SQL & Data Manager and be located at our Cranberry Township, PA location. Hybrid Work Schedule.
Key Responsibilities:
Build robust data pipelines to support the gathering and transformation of data to be used by the BR&A and APX Project Management Office teams
Support the APX Project Management Office by meeting with stakeholders and developing analytical processes to support Business Intelligence reporting
Develop advanced queries to provide valuable data insight for the business
Create and maintain data models in an efficient manner, maximizing the use of our data and our tools
Develop automated programs for extracting, transforming, and loading data
Assist in the administration of a central data lake to be used by the BR&A team
Perform research and provide suggestions on technologies that could be used to boost the overall productivity of the BR&A team
Protect the integrity of BR&A reporting data by continually monitoring for data cleanliness and quickly identifying and resolving issues
Qualifications:
B.A., B.S. or equivalent business experience
3+ years experience in a similar role
Knowledge of financial processes, controls, and associated improvement programs
Familiarity with systems and data quality processes
Knolwedge of relational databases
Proficient in SQL, Python, R, Java, or any similar programming language
Background knowledge of Databricks
Proficiency in Power Platform (Power Automate, Power BI, Power Query)
We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $64,800 to $81,000 per year.
#LI-Hybrid
Why Westinghouse?
Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:
Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
401(k) with Company Match Contributions to support employees' retirement
Paid Vacations and Company Holidays
Opportunities for Flexible Work Arrangements to promote work-life balance
Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
Global Recognition and Service Programs to celebrate employee accomplishments and service
Employee Referral Program
Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:
Safety and Quality
Integrity and Trust
Customer Focus and Innovation
Speed and Passion to Win
Teamwork and Accountability
While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.
Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities
Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube
Employment opportunities may require access to information which is subject to the export control regulations of the United States. Hiring decisions for such positions are required by law to be made in compliance with these regulations. Applicants for employment opportunities in other countries must be able to meet the comparable export control requirements of that country and of the United States.