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Afternoon Data Analyst R Programming Jobs in Nazareth, PA

Everest Re Group

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Strong programming and data engineering experience using: * Python * SQL * Deep understanding of modern data engineering practices, cloud-based architectures, and analytics platforms. The base salary ...

Everest Insurance

AVP, Data Engineering

Warren, NJ · On-site

$118K - $142K/yr

Strong programming and data engineering experience using: * Python * SQL * Deep understanding of modern data engineering practices, cloud-based architectures, and analytics platforms. The base salary ...

Everest

AVP, Data Engineering

Warren, NJ · On-site

Strong programming and data engineering experience using: * Python * SQL * Deep understanding of modern data engineering practices, cloud-based architectures, and analytics platforms. The base salary ...

Smiths Machine

CMM Programmer

Quakertown, PA

Key Responsibilities Inspection Programming & Metrology * Develop, validate, and maintain CMM ... Participate in Gage R&R studies and measurement system analysis activities. * Support customer ...

Sonsoft Inc

Data Modeler Analyst

Warren, NJ

$56.75 - $73.75/hr

Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives - delivery dates, cost objectives, quality objectives, business customer satisfaction objectives ...

Summit Tech Partners

MDM Systems Analyst

Easton, PA · On-site

... and programming skills to quickly resolve data discrepancies and build/restructure business rules and conditions. • Monitor and resolve data quality issues and discrepancies across systems. • ...

New

Flowserve

Senior Business Analyst

Bethlehem, PA · On-site

$91K - $118K/yr

Knowledge of data integration, enterprise reporting, and data engineering concepts. * Experience with Python for analytics and process automation. * Understanding forecasting, predictive analytics ...

Everest

Senior Actuarial Analyst

Warren, NJ · On-site

$100K - $150K/yr

Programming, data querying, or automation experience (e.g., SQL, R, Python, VBA). * Strong written and verbal communication skills, with the ability to explain analytical findings to both technical ...

Everest Insurance

Senior Actuarial Analyst

Warren, NJ · On-site

$100K - $150K/yr

Programming, data querying, or automation experience (e.g., SQL, R, Python, VBA). * Strong written and verbal communication skills, with the ability to explain analytical findings to both technical ...

Workiva

Spring 2027 Intern - Data Analytics

Allentown, PA · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Everest Re Group

Senior Actuarial Analyst

Warren, NJ · On-site

$100K - $150K/yr

Programming, data querying, or automation experience (e.g., SQL, R, Python, VBA). * Strong written and verbal communication skills, with the ability to explain analytical findings to both technical ...

XP Power

Quality Engineer

High Bridge, NJ

$74K - $96K/yr

Analyze quality data across production, inspection, test, and repairs to prioritize continuous ... Working knowledge of process capability, SPC, Gauge R&R, and sampling plans * Hands-on root cause ...

XP Power

Quality Engineer

High Bridge, NJ · On-site

$74K - $96K/yr

Analyze quality data across production, inspection, test, and repairs to prioritize continuous ... Working knowledge of process capability, SPC, Gauge R&R, and sampling plans * Hands-on root cause ...

XP Power

Quality Engineer

High Bridge, NJ

$74K - $96K/yr

Analyze quality data across production, inspection, test, and repairs to prioritize continuous ... Working knowledge of process capability, SPC, Gauge R&R, and sampling plans * Hands-on root cause ...

Danaher

Digital Analyst Internships

Allentown, PA · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Nazareth, PA

Afternoon Data Analyst R Programming information

See Nazareth, PA salary details

$32.5K

$78.9K

$129.9K

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

As of Sep 12, 2026, the average yearly pay for afternoon data analyst r programming in Nazareth, PA is $78,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,700.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Nazareth, PA?

For Afternoon Data Analyst R Programming jobs in Nazareth, PA, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Nazareth, PA look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Nazareth, PA are:

What cities near Nazareth, PA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Nazareth, PA with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Nazareth, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,937 per year, or $38 per hour.

AVP, Data Engineering

Warren, NJ • On-site

Everest Re Group
Insurance Services • 1 - 5K employees
Learn more about Everest Re Groupexternal

$118K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 3 days ago

Key responsibilities

  • Partner with business stakeholders to understand analytics needs and translate them into technology solutions.

  • Define and deliver data and analytics architecture, tooling, and capabilities to support a modern cloud-based data ecosystem.

  • Drive data and analytics transformation initiatives, including cloud adoption, security, governance, and data quality.

Job description

Title:

AVP, Data Engineering

Company:

Everest Global Services, Inc.

Job Category:

Technology

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.

About the Role

While Everest currently operates primarily within the North American market, we see significant opportunities to expand globally. To support this growth, Everest Re Group, Ltd. ("Everest") is seeking an Assistant Vice President, Data Engineering to help drive the execution of our Global Data Strategy.

This highly visible leadership role requires a strong combination of technical expertise, strategic thinking, and people leadership. Working closely with business stakeholders, you will define, plan, and deliver technology solutions that enable business outcomes and support Everest's long-term strategy.

As a player-coach, you will lead multiple engineering teams while remaining actively engaged in technology strategy, architecture, and execution. You will serve as a key engineering leader across the organization, helping accelerate Everest's data and analytics transformation journey.

Key Responsibilities

Strategic Leadership & Business Partnership

  • Partner closely with business leaders and internal stakeholders to understand strategic analytics and business intelligence needs, and translate them into technology solutions.

  • Lead technology initiatives that enable meaningful, actionable, data-driven capabilities aligned with business objectives and enterprise strategy.

  • Develop and execute data and analytics technology strategies and roadmaps that support rapid delivery of information management capabilities while aligning with established technology and architecture standards.

  • Establish clear strategic direction and execution plans that support Everest's global data ambitions.

Data & Analytics Architecture

  • Define and deliver the data and analytics architecture, tooling, and capabilities required to support a modern cloud-based data ecosystem.

  • Establish best practices, governance frameworks, and controls to enable broad enterprise adoption while ensuring scalability, security, and reliability.

  • Deliver capabilities that support the rapid ingestion of new data sources and the efficient deployment of advanced analytics and AI models into production.

  • Champion modern engineering practices and cloud-first architectures that enhance agility, performance, and innovation.

Engineering Excellence & Transformation

  • Drive the organization's data and analytics transformation initiatives, accelerating cloud adoption while promoting security, governance, data quality, and integrity.

  • Support the development of engineering capabilities that encourage code sharing, inner sourcing, and reusability across teams.

  • Foster a cloud-first engineering culture leveraging automation, DevOps tools, and modern delivery practices.

  • Ensure solutions are scalable, maintainable, and aligned with enterprise standards.

Delivery & Operational Leadership

  • Drive the delivery of an exceptional customer and partner experience through intuitive, self-service data capabilities and trusted access to enterprise data.

  • Manage engagement and coordination across assigned delivery teams to ensure projects are delivered on time, within scope, within budget, and to the highest quality standards.

  • Balance strategic priorities with operational excellence to ensure consistent delivery and measurable business value.

Knowledge, Skills & Competencies

  • Demonstrated success building, leading, and developing high-performing engineering teams.

  • Inspirational leader with a proven track record of attracting, retaining, and developing top talent.

  • Deep experience leading data and analytics organizations within complex multinational environments.

  • Proven ability to deliver large-scale data and analytics initiatives on time, within budget, and with high quality.

  • Strong leadership presence with the ability to influence and collaborate effectively across all levels of the organization.

  • Excellent communication, stakeholder management, and relationship-building skills.

  • Ability to define a clear strategy and roadmap, align stakeholders around a common vision, and translate strategy into execution.

  • Comfortable operating in a lean, hands-on environment that requires both strategic leadership and detailed execution.

  • Strong customer-centric mindset with a focus on delivering impactful business outcomes.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Business, or a related field.

  • 8+ years of experience in data engineering, with deep expertise in delivering advanced analytics and data access capabilities.

  • 5+ years of people leadership and management experience leading technical teams.

  • 10+ years of experience within the insurance or financial services industry.

  • Experience working within a large multinational organization preferred.

  • Strong proficiency with the Microsoft Azure technology stack, including:

    • Azure Data Factory (ADF)

    • Databricks

    • Cloud-based data platforms and technologies

  • Strong programming and data engineering experience using:

    • Python

    • SQL

  • Deep understanding of modern data engineering practices, cloud-based architectures, and analytics platforms.

The base salary range for this position is $173,000 - $220,000 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.

Everest U.S. Privacy Notice | Everest (everestglobal.com)

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