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Self Employed Data Analyst R Programming Jobs in Bethlehem, PA

AVP, Data Engineering

Warren, NJ · On-site

$173 - $220/hr

Data & Analytics Architecture * Define and deliver the data and analytics architecture, tooling ... Drive the delivery of an exceptional customer and partner experience through intuitive, self ...

New

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Data & Analytics Architecture * Define and deliver the data and analytics architecture, tooling ... Drive the delivery of an exceptional customer and partner experience through intuitive, self ...

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Data & Analytics Architecture * Define and deliver the data and analytics architecture, tooling ... Drive the delivery of an exceptional customer and partner experience through intuitive, self ...

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Data & Analytics Architecture * Define and deliver the data and analytics architecture, tooling ... Drive the delivery of an exceptional customer and partner experience through intuitive, self ...

Analyze test results, debug technical issues, and document findings clearly. * Use Git-based ... Solid programming skills in C, with knowledge of C++ and Python. * Basic knowledge of digital ...

Showing results 21-40

Self Employed Data Analyst R Programming information

See Bethlehem, PA salary details

$33.6K

$81.7K

$134.4K

How much do self employed data analyst r programming jobs pay per year?

As of Aug 10, 2026, the average yearly pay for self employed data analyst r programming in Bethlehem, PA is $81,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,800.00 per year, depending on experience, location, and employer.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and modeling to clients. Being self-employed requires managing your own schedule, finding clients, and handling business aspects like contracts and taxes.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field due to its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

Are self employed data analyst R programmers in demand?

Self-employed data analysts skilled in R programming are in demand due to the growing need for data analysis across industries. Proficiency in R, along with strong statistical and data visualization skills, increases job opportunities for freelance or independent consultants. Demand is driven by the increasing reliance on data-driven decision making and the availability of remote work options.
What cities near Bethlehem, PA are hiring for Self Employed Data Analyst R Programming jobs? Cities near Bethlehem, PA with the most Self Employed Data Analyst R Programming job openings:

Vice President, Reinsurance Data, Analytics & Business Performance

Everest

Warren, NJ • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago


Job description

Title:

Vice President, Reinsurance Data, Analytics & Business Performance

Company:

Everest Global Services, Inc.

Job Category:

Analytics

Job Description:

About Everest:

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Role Overview

The Vice President, Reinsurance Data, Analytics & Business Performance is responsible for leading the strategy, roadmap, and delivery of data, reporting, analytics, and business performance capabilities across Everest's Reinsurance organization. This role partners closely with Underwriting, Claims, Finance, Operations, Technology, and Insurance Data & Analytics teams to deliver trusted data, actionable insights, and scalable analytics solutions to drive data-enabled decision-making and business outcomes.

The role serves as a key liaison between business and technology, translating business needs into data and analytics initiatives, advancing data governance and data quality capabilities, and driving the adoption of modern reporting, self-service analytics, and AI-enabled solutions. Success in this position requires strong reinsurance domain knowledge, stakeholder management skills, analytics expertise, and the ability to collaborate and lead teams to influence outcomes across our global organization.

A key responsibility of this role is advancing Everest's Reinsurance data maturity by strengthening data governance, data quality, and stewardship practices across critical business domains. The role will champion the adoption of enterprise data standards and help establish a disciplined approach to managing and governing data as a strategic asset.

Key Responsibilities

  • Develop and execute the Reinsurance data, analytics, reporting, and business performance strategy aligned with business objectives and enterprise data priorities.

  • Partner with senior leaders across Underwriting, Claims, Finance, Operations, and Executive Management to identify priorities and deliver data-driven solutions that improve business outcomes.

  • Own the Reinsurance data and analytics roadmap, translating business strategy into a prioritized portfolio of data, reporting, and analytics initiatives.

  • Collaborate with Technology and Enterprise Data & Analytics teams to define requirements, prioritize investments, and deliver scalable data and analytics capabilities.

  • Lead the development and continuous enhancement of operational, management, and executive reporting solutions, ensuring stakeholders have access to timely and actionable insights.

  • Establish and oversee key performance indicators, scorecards, dashboards, and performance measurement frameworks, including governance of KPI definitions, reporting standards, and methodologies.

  • Provide leadership and direction for Power BI capabilities, including reporting standards, data modeling, visualization best practices, and self-service analytics adoption.

  • Define and advance Reinsurance data governance, data stewardship, and ownership practices to improve accountability, consistency, and trust in enterprise data.

  • Establish and mature data quality capabilities, including critical data element management, data quality metrics, monitoring, issue remediation, and continuous improvement processes.

  • Evaluate and implement opportunities to leverage AI and emerging analytics capabilities to improve access to information, enable natural language querying, and deliver AI-driven insights to business users.

  • Partner with business stakeholders to identify opportunities for process improvement, operational efficiencies, portfolio optimization, and business growth through analytics.

  • Communicate business performance, key insights, opportunities, and risks through executive presentations, dashboards, and leadership forums.

  • Lead, develop, and mentor a high-performing team while fostering a culture of accountability, business partnership, innovation, and continuous improvement.

Qualifications

  • Bachelor's degree in Business, Finance, Economics, Analytics, Information Systems, Mathematics, Data Science, or a related discipline; advanced degree preferred.

  • 12+ years of progressive experience in data & analytics, business intelligence, performance management, data strategy, or related leadership roles.

  • Deep Reinsurance industry experience with strong knowledge of underwriting, claims, finance, operations, portfolio management, and performance metrics.

  • Demonstrated experience leading enterprise reporting, analytics, and business intelligence functions that support business and executive decision-making.

  • Advanced Power BI expertise, including dashboard design, data modeling, KPI frameworks, visualization best practices, and self-service analytics enablement.

  • Proven experience partnering with business and technology teams to define requirements, prioritize initiatives, and deliver data, reporting, and analytics capabilities.

  • Strong understanding of data governance, data quality, metadata management, and enterprise data management principles.

  • Experience establishing data stewardship, ownership, and data quality processes across multiple business domains.

  • Familiarity with modern cloud-based data and analytics platforms and emerging AI capabilities relevant to analytics, reporting, and decision support.

  • Strong understanding of Reinsurance underwriting economics and performance metrics, including premium growth, loss ratio, expense ratio, combined ratio, portfolio profitability, and return on capital.

  • Strong stakeholder management skills with the ability to influence and build relationships across senior executives, business leaders, and technology teams.

  • Demonstrated success leading and developing high-performing teams.

  • Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into actionable business insights and recommendations.

The base salary range for this position is $201,000 - $245,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

#LI-Hybrid

#LI-AS1

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

  • Our Valuesare the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Full time

Primary Location:

Warren, NJ

Additional Locations:

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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