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Google Analytics 4 Ga4 Remote Jobs in Lime Ridge, PA

Geisinger Health

Data Scientist Team Lead

Danville, PA · On-site +1

Work is typically performed in an office or remote environment. Accountable for satisfying all job ... PHD = 4 years ). Position Details: Preferred Skills: * Experience with Quality & Safety Analytics

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How much do google analytics 4 ga4 remote jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for google analytics 4 ga4 remote in Lime Ridge, PA is $48.55, according to ZipRecruiter salary data. Most workers in this role earn between $35.29 and $60.53 per hour, depending on experience, location, and employer.

What is a Google Analytics 4 (GA4) remote specialist?

A Google Analytics 4 (GA4) remote specialist is a digital analytics professional who works remotely to help businesses set up, configure, and interpret data from Google Analytics 4. This role involves tracking website and app performance, creating reports, and providing insights to improve digital marketing strategies. GA4 specialists are skilled in event tracking, conversion analysis, and data visualization, enabling businesses to make data-driven decisions. Working remotely allows them to support clients from anywhere, often collaborating through virtual meetings and cloud-based tools.

What are the key skills and qualifications needed to thrive as a Google Analytics 4 (GA4) remote specialist?

To thrive as a Google Analytics 4 (GA4) Remote Specialist, you need a strong understanding of web analytics, data interpretation, and digital marketing, often backed by experience or certification in Google Analytics. Familiarity with GA4 interface, Google Tag Manager, data visualization tools like Google Data Studio, and basic knowledge of JavaScript and tracking implementation are typically required. Analytical thinking, attention to detail, and effective communication are vital soft skills for translating data insights into actionable strategies for stakeholders. These skills ensure accurate data collection, meaningful reporting, and optimized digital performance in a remote work environment.

What are some common challenges faced by remote Google Analytics 4 (GA4) specialists, and how can they overcome them?

Remote GA4 specialists often encounter challenges such as coordinating with cross-functional teams across different time zones, securing access to data and platforms, and ensuring clear communication of analytics findings. Overcoming these challenges involves proactive communication, using collaborative tools like Slack or project management platforms, and scheduling regular check-ins with stakeholders. Establishing clear documentation and workflows can also help maintain consistency and clarity in analytics projects, contributing to successful outcomes in a remote work environment.

What is the difference between Google Analytics 4 Ga4 Remote vs Digital Marketing Analyst?

AspectGoogle Analytics 4 Ga4 RemoteDigital Marketing Analyst
Required CredentialsGoogle Analytics certifications, data analysis skillsMarketing degrees, analytics certifications
Work EnvironmentRemote, digital tools, cloud-based platformsOffice or remote, marketing tools, analytics software
Employer & Industry UsageTech companies, digital agencies, e-commerceAdvertising agencies, brands, online businesses
Search & Comparison IntentFocus on GA4 skills, remote work optionsBroader marketing analytics roles, remote or onsite

Google Analytics 4 Ga4 Remote specialists focus on implementing and analyzing GA4 data remotely, often with certifications in analytics tools. Digital Marketing Analysts have a broader role in marketing strategy, requiring diverse skills and certifications. Both roles may work remotely, especially in digital industries, but GA4 Remote roles are more specialized in analytics platform management.

What cities near Lime Ridge, PA are hiring for Google Analytics 4 Ga4 Remote jobs?

Cities near Lime Ridge, PA with the most Google Analytics 4 Ga4 Remote job openings:

Google Analytics 4 Ga4 Remote jobs near you

Data Scientist Senior (Population Health)

Geisinger Health

Danville, PA • Remote

Full-time

Medical, Dental, Vision

This job post has expired 1 day ago. Applications are no longer accepted.

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 450 frontline employees who took The Breakroom Quiz

453rd of 898 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes. Leveraging your deep expertise and mastery of machine learning, you will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings specifically population health. Your ability to translate technical concepts into actionable insights will empower stakeholders to make informed decisions that enhance patient care and operational efficiency. You will also play a crucial role in mentoring and developing junior data scientists and analysts, fostering a culture of data-driven innovation.
Job Duties:
  • Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
  • Build and deploy advanced analytics that explain and predict acute utilization (Inpatient/Emergency Department) and quantify how care delivery changes (e.g., panel shifts, capacity differences, continuity disruption) impact outcomes for heart failure and other high-risk populations.
  • Translate longitudinal patient care data into actionable intervention points across primary care, specialty care, and monitoring programs.
  • Partner with clinical and operational leaders to convert analytic findings into care pathway recommendations, operational triggers, and monitoring protocols; define measures of success and evaluate impact.
  • Collaborate with cross-functional teams to define project scope, objectives, analytic design, validation strategy, and expected impact, ensuring alignment with organizational goals and measurable improvements in healthcare outcomes.
  • Leverages deep understanding of machine learning algorithms to build patient-level and population-level models that support risk stratification, trajectory analysis, forecasting, capacity planning, and scenario analysis for diverse healthcare applications.
  • Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
  • Applies rigorous validation techniques to ensure model accuracy, stability, fairness, generalizability, and clinical usefulness across patient cohorts, sites, time periods, and operational settings.
  • Oversees the deployment of models into production environments, ensuring seamless integration with existing systems.
  • Extracts insights from clinical and operational data sources (Epic Clarity, HL7, and other enterprise data sources) to inform decision-making and guide project direction.
  • Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders through presentations, dashboards, technical documentation, and stakeholder discussions.
  • Facilitates data-driven decision-making by effectively communicating the value and impact of AI models.
  • Mentors and guide junior data scientists, fostering their professional growth and technical expertise.
  • Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
  • Contributes to developing best practices and standards for data science and machine learning within the organization.
  • Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation.
  • Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).
Position Details:
Preferred skills:
  • Databricks, Python, SQL, advanced statistical analysis, machine learning, emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)
  • Healthcare experience preferably with Population Health initiatives
  • Familiarity with Epic Clarity, Caboodle, claims data, CMS/Medicare populations, or payer-provider analytics

Education:
Bachelor's Degree-Related Field of Study (Required)
Experience:
Minimum of 4 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Analytical Thinking, C++ Programming Language, Clinical Data Cleaning, Communication, Group Collaboration, Machine Learning Methods, Python (Programming Language), Statistical Methods, Structured Query Language (SQL)
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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