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Data Analytics Jobs in Hazleton, PA (NOW HIRING)

Die Rolle ist Teil vom Team Data, Analytics & Insights und berichtet direkt an den Team Lead Data Strategy, Mgmt & Solution. Diese Position ist auf 2,5 Jahre befristet. Wir arbeiten hybrid mit ...

SAP Manufacturing Data Assistant

Freeland, PA ยท On-site

$16.75 - $21.75/hr

Review and analyze production data to identify trends, variances, and areas for improvement. * Generate and interpret reports on production performance, efficiency, and quality metrics. * Provide ...

SAP MRP and data analytics experience highly desired, highly skilled in Microsoft Excel required. * Strong Analytical Skills for analyzing data, identifying trends, and making informed scheduling ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Leverage technology and data analytics to drive preventive safety measures that protect our associates while enhancing operational excellence. Develop leadership plans, communicate expectations, and ...

Leverage technology and data analytics to drive preventive safety measures that protect our associates while enhancing operational excellence. Develop leadership plans, communicate expectations, and ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues - Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues - Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... your analysis of operational issues Helping to interview, train and onboard new team members ...

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Data Analytics information

See Hazleton, PA salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Hazleton, PA is $54.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 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 Hazleton, PA look for? The top searched job categories for Data Analytics jobs in Hazleton, PA are:
What cities near Hazleton, PA are hiring for Data Analytics jobs? Cities near Hazleton, PA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Hazleton, PA as of August 2026, with employment types broken down into 56% Full Time, 33% Part Time, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $112,862 per year, or $54.3 per hour.

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Overview

Good Things Start Here.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.

  • Hybrid schedule: 2 days remote / 3 inoffice
  • Predictable hours (no nights, weekends, or holidays)
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses
Responsibilities

We are hiring ahands-on senior levelย Data Engineer to build trustworthy, well governed data productsand turnย them into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You'll context switch comfortably between data & analytic engineering and meeting withbusiness stakeholders to understand their processes and needs.ย 

What You'll Do:

  • Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
  • Model and publish curated, analysis ready datasets, semantic modelsin Power BI or analytics delivery that illuminate small commercial metrics.ย 
  • Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges.ย 
  • Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost.ย 
  • Follow and implement documentation standards, governance and data quality controls across datasets.ย 
  • Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability.ย 
  • Document technical architecture and workflows to support onboarding and reduce risk
  • Apply best practices in data modeling and engineering to create reusable, high-quality data products.
  • Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos.
  • Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.
Qualifications

Required

  • Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
  • Bachelor's or Master's degree in Computer Science, IT, or related field
  • 5+ years of data engineering experience, preferably in P&C insurance
  • Experience with Data Mesh (domain ownership and decentralized data products)
  • Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
  • Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
  • Familiarity with Azure DevOps (ADO) and CI/CD practices
  • Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
  • Strong analytical and problem-solving skills
  • Experience working in Agile/Scrum environments with product-based delivery
  • Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
  • Strong communication and collaboration skills

Preferred:

  • Experience with distributed processing frameworks (e.g., Spark)
  • Knowledge of data warehousing concepts and tools
  • Additional programming experience (e.g., Scala)
  • Understanding of data security and compliance
  • Microsoft Fabric certifications (e.g., DP-600, DP-700)
  • Experience with AI agents or multi-agent frameworks for business use cases

*Applicants must be authorized to work in the U.S. without current or future sponsorship*

Salary Range:ย 

$100,000 - $140,000.

In accordance with applicable pay transparency laws, the above range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Plano, TX, New York, NY, and/or Scottsdale, AZ

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

Employment Type: FULL_TIME