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Remote Financial Data Analyst Jobs in Scranton, PA

Solar Mason

Chief Financial Officer (CFO)

Scranton, PA · On-site +1

Excellent knowledge of data analysis and forecasting methods. * Proficient in the use of MS Office and financial management software. * Ability to strategize and solve problems. * Strong leadership ...

Kane is Able

Business Analyst

Scranton, PA · On-site +1

$68K - $90K/yr

Remote Work Schedule: First Shift: Monday - Friday, 8:00am - 5pm Work Travel: Up to 15% of domestic ... Develop ad hoc SQL queries to support reporting, data analysis, system troubleshooting, and process ...

Kane is Able

SR Business Analyst

Scranton, PA · On-site +1

$87K - $120K/yr

Remote Work Schedule: First Shift: Monday - Friday, 8:00am - 5pm Work Travel: Up to 15% of domestic ... Lead integration of data mapping activities across client and internal systems, ensuring accurate ...

Solar Mason

Chief Operating Officer (COO)

Scranton, PA · On-site +1

Understanding of business functions such as HR, Finance, Marketing, etc. * Proficiency in data analysis and performance/operation metrics. * Experience in the renewable energy industry, particularly ...

Kane is Able

DC Start Up Project Manager

Scranton, PA · On-site +1

Remote Work Schedule: First Shift: Monday - Friday, 8:00am - 5pm with the ability to work outside ... Experience conducting financial analysis, benchmarking studies, ROI assessments, and business case ...

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All JobsFinancial Data Analyst JobsRemote Financial Data Analyst JobsRemote Financial Data Analyst Jobs in Scranton, PA

Remote Financial Data Analyst information

See Scranton, PA salary details

$34.6K

$84.6K

$140.6K

How much do remote financial data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote financial data analyst in Scranton, PA is $84,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $99,500.00 per year, depending on experience, location, and employer.

What is a remote financial data analyst?

A Remote Financial Data Analyst is a professional who works from a location outside of a traditional office, analyzing and interpreting financial data to help organizations make informed decisions. They use various tools and software to collect, process, and present data related to budgets, investments, and financial trends. Their insights support business planning, risk management, and strategic growth. Remote Financial Data Analysts often collaborate with teams through virtual meetings and digital platforms, allowing them to work flexibly from anywhere with an internet connection.

How does a remote financial data analyst typically collaborate with team members and stakeholders across different locations?

As a Remote Financial Data Analyst, collaboration is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared dashboards. You’ll regularly participate in virtual meetings to discuss data findings with finance teams, business leaders, and other analysts. Clear documentation and frequent updates are key, as is the ability to translate complex financial data into actionable insights for non-technical stakeholders. Building strong remote relationships and proactively communicating progress help ensure projects stay aligned and deadlines are met, even when working from different time zones.

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

To thrive as a Remote Financial Data Analyst, you need strong analytical abilities, proficiency in finance and statistics, and a relevant degree such as finance, economics, or mathematics. Expertise in tools like Excel, SQL, Python, and familiarity with business intelligence platforms such as Tableau or Power BI, plus relevant certifications (e.g., CFA or FMVA), are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating virtually and delivering insights independently. These skills ensure accurate data analysis, effective remote teamwork, and actionable financial recommendations for business success.

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

AspectRemote Financial Data AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in data analysis toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentPrimarily data analysis, reporting, and modelingFinancial planning, reporting, and advising
Employer & Industry UsageFinancial services, investment firms, corporationsBanking, investment firms, corporate finance
Common Search & ComparisonFocuses on data analysis and modelingFocuses on financial advising and strategy

The main difference is that a Remote Financial Data Analyst specializes in analyzing financial data, creating models, and generating reports, while a Remote Financial Analyst focuses more on financial planning, advising, and strategy. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

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

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

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

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

Remote Financial Data Analyst jobs near you
Infographic showing various Remote Financial Data Analyst job openings in Scranton, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $84,595 per year, or $40.7 per hour.

Data Engineer

Wilkes Barre, PA • On-site, Remote

Berkshire Hathaway GUARD Insurance Companies
Insurance Services • 1 - 5K employees
Learn more about Berkshire Hathaway GUARD Insurance Companiesexternal

$100K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 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
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses
Responsibilities

We are hiring ahands-on senior level Data Engineer to build trustworthy, well governed data productsand turn 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. 

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. 
  • Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges. 
  • Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost. 
  • Follow and implement documentation standards, governance and data quality controls across datasets. 
  • Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability. 
  • 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: 

$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

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