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Remote Applied Data Analytics Jobs in Pennsylvania

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Bachelor's degree in computer science, data science, statistics, applied mathematics or related ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Familiarity with MATLAB and/or Python for instrument control and data analysis * Excellent ...

$92K - $200K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Conduct data analysis, incorporating multiple data modalities and formats and exploratory data ...

This role can be remote in some US states (See below for remote work requirements) or based in one ... Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured ...

Associate Data Scientist

Philadelphia, PA ยท On-site +1

$59K - $60K/yr

Strong foundation in applied statistical analysis (Probability distributions, statistical ... Hybrid and remote work flexibility. * Empowering Values: Live by values that prioritize teamwork ...

We marshal the capital, analytics, and expertise necessary to build strong, healthy, and more ... Advanced knowledge in applied research across multiple dimensions of community development such as ...

Data Architect

Mechanicsburg, PA ยท On-site +1

$150 - $180K/hr

... analytics, data retention processes, data compliance, security, and automating related processes for products used in support of OIS. REMOTE: Possibility of up to 10% Travel required - Client ...

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Manager, Data Engineer (Remote)

Home, PA ยท Remote

$100K - $174K/yr

Job Summary Strategic Analytics at Arch is a growing team at the forefront of the company's AI ... Data is central to our mission. We unify internal and external data on modern cloud platforms ...

Showing results 21-40

Remote Applied Data Analytics information

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Pennsylvania?

For Remote Applied Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Applied Data Analytics jobs in Pennsylvania look for?

The top searched job categories for Remote Applied Data Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Applied Data Analytics jobs?

Cities in Pennsylvania with the most Remote Applied Data Analytics job openings:

Analytics Engineer - Enterprise Analytics

D&H

Harrisburg, PA โ€ข Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 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