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Remote Analytics Engineer Jobs in Pennsylvania (NOW HIRING)

Cybercoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$165K - $190K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position Overview We are seeking an experienced Analytics Engineer to join our data team and build reliable ...

Cybercoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$165K - $190K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position Overview We are seeking an experienced Analytics Engineer to join our data team and build reliable ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Fivetran

Customer Solutions Engineer

Philadelphia, PA · Remote

Together, we support thousands of organizations as they build a trusted foundation for analytics ... This is a full-time remote position based out of the AMER-East region, Texas, and Philadelphia.

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... This role requires an engineer who can translate educational use cases and analytics into reliable ...

ENFRA LLC

Energy Engineer PE I

Philadelphia, PA · On-site +1

$103K - $132K/yr

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE I

Philadelphia, PA · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE I

Philadelphia, PA · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

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Remote Analytics Engineer information

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 are the most commonly searched types of Analytics Engineer jobs in Pennsylvania? The most popular types of Analytics Engineer jobs in Pennsylvania are:
What are popular job titles related to Remote Analytics Engineer jobs in Pennsylvania? For Remote Analytics Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Pennsylvania look for? The top searched job categories for Remote Analytics Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Analytics Engineer jobs? Cities in Pennsylvania with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Analytics Engineer - Enterprise Analytics

D&H

Harrisburg, PA • 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!  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.

 

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

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