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Remote Data Analyst Jobs in Hazleton, PA (NOW HIRING)

... and data management software. * Knowledgeable in real estate values and accepted real estate ... Ability to work in remote locations for long periods of time; * Excellent interpersonal skills and ...

Remote Data Analyst information

See Hazleton, PA salary details

$33.7K

$81.9K

$134.8K

How much do remote data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote data analyst in Hazleton, PA is $81,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Hazleton, PA?

The most popular types of Data Analyst jobs in Hazleton, PA are:

What job categories do people searching Remote Data Analyst jobs in Hazleton, PA look for?

The top searched job categories for Remote Data Analyst jobs in Hazleton, PA are:

What cities near Hazleton, PA are hiring for Remote Data Analyst jobs?

Cities near Hazleton, PA with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Hazleton, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,906 per year, or $39.4 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Overview

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

As a Data Product Manager at GUARD, you will own the business direction and value realization of domain data products. You will partner with underwriting, actuarial, and operational business leaders to identify high-value problems, shape product opportunities, prioritize investments, and lead cross-functional teams that deliver trusted, reusable data products for decision-making, operations, analytics, and AI readiness.

This is an opportunity to shape how an insurance carrier turns underwriting, actuarial, and operational expertise into reusable data products for analytics and AI. The role emphasizes product strategy, business partnership, discovery, adoption, and outcomes over agile ceremony ownership or backlog administration. You will turn complex insurance needs into trusted data products with clear business definitions, quality expectations, ownership, governance, and consumers.

As a Data Product Manager, you will:

  • Partner with underwriting, actuarial, and operational business leaders to identify high-value problems, decision needs, and opportunities for measurable business impact.
  • Shape product opportunities by defining the problem, target users, value proposition, success measures, adoption expectations, and prioritization rationale.
  • Define and manage product vision, roadmap, and priorities for domain data products, balancing value, feasibility, reuse, risk, rate and product considerations, and operational needs.
  • Lead discovery through stakeholder interviews, workshops, process analysis, user research, and validation of business needs.
  • Work with architects, engineers, analysts, and governance partners to define shared business concepts, semantic models, quality expectations, lineage, access controls, and reusable consumption patterns.
  • Lead cross-functional data product teams by setting direction, clarifying priorities, aligning stakeholders, and keeping the work focused on business outcomes.
  • Drive adoption by communicating product value, supporting rollout, gathering feedback, measuring usage, and ensuring products improve decisions or processes.
  • Ensure data products support reporting, analytics, operations, and AI use cases through trusted definitions, usability, quality, and governance.
Qualifications

Required qualifications:

  • 3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry.
  • Demonstrated knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes.
  • Experience identifying business problems, shaping opportunities, and delivering insurance data solutions that support underwriting decisions, pricing analysis, portfolio insight, or operational execution.
  • Strong business acumen and ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes.
  • Experience leading cross-functional teams through ambiguity, aligning stakeholders, and influencing without direct authority.
  • Experience facilitating workshops, interviews, discovery sessions, prioritization discussions, and product planning conversations.
  • Ability to translate between business needs and data or technical concepts to support shared understanding and sound decisions.
  • Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria.
  • Proven ability to adapt, solve problems, and make progress in a changing environment.
  • Excellent spoken and written communication.

Preferred qualifications:

  • Experience with data products, data mesh, semantic models, data governance, analytics platforms, or AI-ready data initiatives.
  • Technical fluency in data and analytics concepts, including data quality, lineage, access controls, business definitions, metrics, and consumption patterns.
  • Direct Property & Casualty experience in underwriting, actuarial, product, pricing, or portfolio management, with the ability to apply that knowledge to data product strategy and decision support.
  • Direct experience supporting underwriting operations such as home office underwriting, service underwriting, premium audit, loss control, or related operational underwriting functions.
  • Familiarity with agile or iterative delivery methods; the role is primarily focused on product strategy, discovery, stakeholder alignment, adoption, and value realization.

Salary Range $88,230.60 - $217,946.30 + bonus

In accordance with applicable pay transparency laws, this 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:

New York, NY; Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ; and Rancho Cordova, CA.

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

Interview Integrity Notice: Berkshire Hathaway GUARD is committed to a fair and consistent hiring process. Candidates are expected to participate independently in interviews. Unauthorized recording, transcription, AI note-taking, or AI interview assistance tools may not be used during interviews without prior approval.

Employment Type: FULL_TIME