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Data Analytics Jobs in Butler, PA (NOW HIRING)

NetApp

Principal Product Manager

Cranberry Township, PA

$228K - $325K/yr

Partner withMicrosoftteams acrossAzure AI / Foundry,Azure Machine Learning,AKS / container platforms,GPU infrastructure,data/analytics(e.g. Databricks-style patterns on Azure), and core Azure storage ...

Robert Half

Logistics Pricing Analyst

Warrendale, PA · On-site

$27 - $43/hr

Bachelor's degree in Business, Finance, Supply Chain, Economics, Analytics, or a related field preferred. * Strong Excel skills and comfort working with data and spreadsheets is required * Pricing ...

New

Microbac

Laboratory Analyst II

Warrendale, PA · On-site

Accurately record observations and data and basic interpretation of data * Maintain the integrity ... Experience analyzing on a GC/MS and/or LC/MS in a working environment WORKING CONDITIONS AND ...

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All JobsData Analytics JobsData Analytics Jobs in Butler, PA

Data Analytics information

See Butler, PA salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Butler, PA is $49.36, according to ZipRecruiter salary data. Most workers in this role earn between $39.66 and $55.91 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What job categories do people searching Data Analytics jobs in Butler, PA look for? The top searched job categories for Data Analytics jobs in Butler, PA are:
What cities near Butler, PA are hiring for Data Analytics jobs? Cities near Butler, PA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Butler, PA as of August 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Contract. Highlights an 78% In-person, and 22% Hybrid job distribution, with an average salary of $102,659 per year, or $49.4 per hour.

Senior Manager, Accounts Receivable - Deductions

ARMADA

Wexford, PA • On-site

Full-time

Re-posted 15 days ago

Job description

Position Summary
The Senior Manager of Deductions is responsible for leading and optimizing all aspects of deductions and claims management, including Overs, Shorts & Damages (OS&D), freight claims, and customer deductions. This role provides strategic direction and operational oversight to multiple functional teams through direct management of departmental Managers. The position ensures timely resolution, root cause analysis, and continuous process improvement to minimize financial exposure and enhance customer satisfaction.
Key Responsibilities
Leadership & Team Management
  • Lead, mentor, and develop Managers overseeing OS&D Claims, Freight Claims, and Deductions teams
  • Establish clear performance expectations, KPIs, and accountability across all functions
  • Drive a culture of continuous improvement, collaboration, and customer-centric thinking
  • Partner with senior leadership to align departmental goals with overall business strategy

Deductions & Claims Oversight
  • Oversee end-to-end deductions lifecycle, including identification, validation, resolution, and recovery
  • Ensure timely and accurate processing of OS&D and freight claims in compliance with company policies and customer agreements
  • Monitor aging, recovery rates, and write-offs; implement corrective actions to reduce unresolved balances
  • Standardize workflows and ensure consistency across all claims and deductions processes

Financial & Risk Management
  • Minimize financial loss by improving recovery rates and reducing invalid deductions
  • Partner with Finance and Accounting to ensure accurate reporting, reserves, and reconciliations
  • Analyze trends and identify root causes of deductions and claims to prevent recurrence
  • Ensure compliance with contractual terms, transportation regulations, and audit requirements

Process Improvement & Strategy
  • Identify process gaps and implement scalable solutions to improve efficiency and accuracy
  • Leverage data analytics to drive decision-making and performance improvements
  • Collaborate cross-functionally with Sales, Customer Service, Supply Chain, and Logistics to resolve systemic issues
  • Lead automation and system enhancement initiatives related to deductions and claims management

Stakeholder Management
  • Serve as the escalation point for complex or high-value claims and deductions
  • Build strong relationships with internal stakeholders, customers, and third-party logistics providers
  • Support negotiations related to claims and deductions with customers and carriers

Minimum Qualifications
Education & Experience
  • Bachelor's degree in Finance, Accounting, Supply Chain, Business, or related field
  • 8-12+ years of experience in deductions, claims, accounts receivable, or related functions
  • 3-5+ years of leadership experience managing managers or large teams

Skills & Competencies
  • Deep knowledge of deductions management, OS&D claims, and freight claims processes
  • Strong financial acumen and analytical skills
  • Proven ability to lead through complexity and drive organizational change
  • Excellent communication, negotiation, and stakeholder management skills
  • Experience with ERP systems (e.g., SAP, Oracle) and deductions/claims platforms
  • Data-driven mindset with proficiency in reporting and performance metrics

Preferred Qualifications
  • Master's in Business or related field
  • Six Sigma Certification

Key Performance Indicators (KPIs)
  • Deductions resolution cycle time
  • Recovery rate / % of invalid deductions recovered
  • Claims processing cycle time (OS&D and freight)
  • Reduction in recurring deductions / root cause elimination
  • Aging of open deductions and claims
  • Team productivity and SLA adherence

Work Environment
  • Fast-paced, cross-functional environment requiring strong prioritization and decision-making
  • Regular interaction with internal departments, customers, and external partners

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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