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Remote Analytics Engineer Jobs in Elizabethtown, PA

SENIOR DIGITAL MARKETING ANALYST (Remote)

PA ยท On-site +1

$116K - $174K/yr

... engineering teams to ensure DDN delivers an excellent digital experience for target customers. In ... analytics, and digital UX improvements (ABM experience is a plus)-with a strong bias for data ...

Substation Owner's Engineer

Marietta, PA ยท Remote

$93K - $118K/yr

*Remote with occasional travel to NY* The Substation Owner's Engineer (OE) serves as a senior ... Support cost-benefit analyses and evaluation of alternative engineering approaches. * Develop ...

Senior Security Engineer

Lititz, PA ยท Remote

$106K - $145K/yr

This person will work closely with the VP, Cybersecurity, Security Analysts, IT Infrastructure ... Partner with IT to improve privileged account management, administrative access, and remote access ...

Senior BI Engineer, Data

Lititz, PA ยท On-site +1

$98K - $133K/yr

Job Summary The Enterprise BI & Analytics Team is the central hub of analytics and data engineering ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Remote -Boston, MA, Charlotte, NC, Harrisburg, PA, Nashua, NH, New York, NY, Trenton, NJ ... Using AI capabilities, we analyze your application for relevant skills, experiences, and ...

Junior Software Engineer

Richland, PA ยท On-site +1

$75K - $95K/yr

... and analytics solutions, and collaborate with experienced professionals to deliver innovative ... This position is remote, and consideration will be given to those near the Philadelphia office or ...

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Remote Analytics Engineer information

See Elizabethtown, PA salary details

$41K

$83.9K

$122K

How much do remote analytics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for remote analytics engineer in Elizabethtown, PA is $83,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $106,300.00 per year, depending on experience, location, and employer.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Can you work remotely in data analytics?

Remote analytics engineers can work from anywhere with a reliable internet connection, as many data analysis tasks involve using cloud-based tools and programming languages like Python or SQL. Employers increasingly offer remote positions, especially for roles that focus on data modeling, visualization, and reporting, often requiring strong communication skills and familiarity with collaboration platforms.
What cities near Elizabethtown, PA are hiring for Remote Analytics Engineer jobs? Cities near Elizabethtown, PA with the most Remote Analytics Engineer job openings:
Infographic showing various Remote Analytics Engineer job openings in Elizabethtown, PA as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $83,914 per year, or $40.3 per hour.

Analytics Engineer - Enterprise Analytics

D&H

Harrisburg, PA โ€ข Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Analytics Engineer - Enterprise Analytics

This is a fully remote position.

D&H is growing! ย Join 100+ year old Employee-Owned technology distributor, offering end-to-end solutions for today's resellers, retailers, and the clients they serve across the SMB and Consumer markets.

  • We are empowered by our employee Co-Owners who provide the industry's best service, and we promote a collaborative culture.
  • We offer an Employee Stock Ownership Plan, 401k, Paid Time Off, Medical, Prescription, Dental and Vision benefits as well as Gym Reimbursement, Work from Home Reimbursement, Employee Purchase Program, Tuition Assistance and much more!
  • As a D&H Co-Owner you receive numerous discounts on services.
  • We feel strongly about giving back to the community and promoting sustainable, eco-friendly business practices.

ย 

Summary:

We are seeking an Analytics Engineer - Enterprise Analytics for our Data Science & Insights Department. This position is responsible for developing, optimizing, and governing reporting and planning solutions within SAP Analytics Cloud (SAC). This role supports enterprise dashboard initiatives, planning models, and governed self-service analytics. The Analytics Engineer partners closely with the Analytics Systems Lead to ensure SAC solutions are scalable, secure, and aligned to enterprise data standards and semantic models.

Responsibilities:

  • Designs, builds, and maintains dashboards, stories, and analytic applications within SAP Analytics Cloud.
  • Develops SAC data models that align to certified enterprise datasets and semantic standards.
  • Supports planning and performance management use cases where applicable.
  • Implements role-based access controls and adhere to defined security models.
  • Collaborates with SAP BDC/Datasphere and Data Engineering teams to ensure reliable data connectivity.
  • Optimizes SAC performance, data refresh strategies, and model efficiency.
  • Supports transport, lifecycle management, and controlled content deployment processes.
  • Contributes to documentation, standards, and best practices for SAC development.
  • Assists in troubleshooting production issues and participate in platform support processes.

Requirements:

  • Bachelor's degree in Information Systems, Data Analytics, Finance Systems, or related field required.
  • 3-6 years of experience in analytics engineering, BI development, or enterprise reporting roles required.
  • Hands-on experience developing in SAP Analytics Cloud (Stories, Models, Planning, or Applications) required. Experience integrating SAC with SAP Datasphere or other SAP data sources preferred.
  • Strong understanding of data modeling concepts and semantic layer principles and working knowledge of SQL and relational data concepts required.
  • Experience implementing role-based access and governance within analytics platforms required.
  • Strong collaboration skills across technical and business teams and the ability to translate business requirements into scalable analytic solutions required.
  • Exposure to enterprise planning or financial performance management workflows, familiarity with Tableau or Power BI environments and experience working in modernization or platform transition initiatives preferred.

EOE