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Remote Data Analyst Jobs in Indiana, PA (NOW HIRING)

AVP, Strategic Analysts

Home, PA · Remote

$83K - $104K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AVP, Strategic Analysts

Home, PA · Remote

$83K - $104K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Quality Assurance Analyst

Indiana, PA · On-site +1

$55K - $65K/yr

... data entry, analysis, documentation, presentations, and calculations. * Ability to manage priorities, meet deadlines, and work independently in a remote team environment. Preferred Education ...

Conduct impact assessments, partner analyses, and readiness assessments to inform change strategies ... data * Excellent facilitation skills and knowledge of effective group dynamics concepts and ...

Merchandise Planner - MFP

Indiana, PA · Remote

$66K - $89K/yr

Remote - US Interested applicants must reside in one of the following approved states: Arizona ... Proven ability to analyze complex data, forecast business performance, and develop actionable ...

... Mobile Data Computing, among other offerings. This position will be a full-time System ... Run diagnostics using approved MSI tools. * Assist with technical system requirements analysis.

Showing results 21-40

Remote Data Analyst information

See Indiana, PA salary details

$31.1K

$75.5K

$124.3K

How much do remote data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote data analyst in Indiana, PA is $75,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,700.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Indiana, PA? The most popular types of Data Analyst jobs in Indiana, PA are:
What job categories do people searching Remote Data Analyst jobs in Indiana, PA look for? The top searched job categories for Remote Data Analyst jobs in Indiana, PA are:
What cities near Indiana, PA are hiring for Remote Data Analyst jobs? Cities near Indiana, PA with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Indiana, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $75,528 per year, or $36.3 per hour.

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Johnstown, PA • Remote

$104K - $142K/yr

Full-time

Re-posted 27 days ago


Job description

Senior Data Science Engineer/Specialist

Concurrent Technologies Corporation

Remote

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Secret

Employee Background Check Required


CTC Engineering and Manufacturing: Where Cutting-Edge Innovation Meets Mission-Critical Solutions


The CTC Engineering Division specializes in transforming cutting-edge technologies into real-world solutions. We harness the power of 3D printing, advanced joining techniques like friction stir welding, and cutting-edge design tools to tackle complex challenges for a diverse set of clients.

As a Senior Data Science Engineer/Specialist, you will serve as a technical leader, applying advanced data science and mathematical techniques to solve complex and mission-critical challenges for Department of Defense (DoD) clients. You will lead projects, mentor junior staff, and drive the development of innovative solutions that enhance decision-making and operational efficiency. This role requires a high degree of technical expertise, strategic thinking, and the ability to work independently while managing multiple priorities.

Key Responsibilities:

Technical Leadership and Project Management:

  • Lead the planning, execution, and delivery of complex data science and mathematics projects, ensuring alignment with client objectives and timelines.
  • Provide technical leadership and mentorship to junior and mid-level team members, fostering their professional growth.
  • Collaborate with stakeholders to define project requirements, scope, and deliverables.
  • Identify risks, develop mitigation strategies, and ensure the successful completion of projects.

Advanced Data Analysis and Modeling:

  • Design and implement advanced statistical, predictive, and machine learning models to address complex client challenges.
  • Perform sophisticated exploratory data analysis (EDA) to identify actionable insights and inform decision-making.
  • Develop and refine mathematical models for simulation, optimization, and forecasting tasks.

Algorithm Development and Innovation:

  • Lead the design, development, and optimization of algorithms for data processing, analysis, and modeling.
  • Validate and deploy algorithms in operational environments, ensuring scalability and reliability.
  • Drive innovation by researching and applying cutting-edge techniques in data science, artificial intelligence, and mathematics.

Tool and Technology Utilization:

  • Utilize advanced programming skills in Python, R, MATLAB, or similar languages to develop custom solutions.
  • Leverage data visualization tools (e.g., Tableau, Power BI, matplotlib) to create compelling and actionable insights.
  • Integrate data science workflows into enterprise systems and processes to enhance operational efficiency.

Collaboration and Communication:

  • Serve as a primary point of contact for clients, providing regular updates and ensuring satisfaction with deliverables.
  • Prepare and deliver high-quality technical reports, presentations, and documentation for diverse audiences, including senior leadership.
  • Facilitate cross-functional collaboration with multidisciplinary teams to achieve project goals.

Research and Development:

  • Lead research initiatives to explore emerging data science techniques, tools, and technologies.
  • Develop innovative methodologies and frameworks to address evolving client needs.
  • Publish findings and contribute to the broader data science and mathematics community.

Support for DoD Projects:

  • Provide expert analysis and recommendations to support DoD mission objectives and strategic decision-making.
  • Develop and implement advanced tools, processes, and methodologies to improve operational capabilities for DoD clients.
  • Ensure all deliverables comply with DoD standards, policies, and security requirements.

Concurrent Technologies Corporation (CTC) is preparing to stand up a dedicated team to manage a new, high-priority initiative for the U.S. Navy. This is a unique opportunity to help revitalize and strengthen a critical national security industrial base. As the manager of a large portfolio of innovative projects under a flexible contracting vehicle, CTC will be at the center of this mission. Our role will be to connect cutting-edge solutions from across industry and academia to the Navy's most pressing challenges, accelerating technology adoption and ensuring our nation's defense industrial base has the capacity and capability for decades to come. This is a fast-paced, dynamic program where you will play a foundational role in its success. We are seeking talented professionals to join us in this exciting and impactful work.

As a Senior Data Science Engineer, you will transform vast streams of project data into actionable intelligence and strategic insights for government leadership. You will develop the dashboards, analytics, and reports that provide radical transparency into the performance and impact of this national security program.

Required Qualifications:

  • Bachelor's degree in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • 4+ years of relevant experience in data science, mathematics, or related fields.
  • Advanced proficiency in programming languages such as Python, R, MATLAB, or similar.
  • Strong expertise in statistical methods, machine learning techniques, and mathematical modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) and data engineering concepts.
  • Proven ability to lead projects, manage teams, and deliver high-quality results.
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong written and verbal communication skills, with experience presenting to technical and non-technical audiences.

Preferred Qualifications:

  • Master's or Ph.D. in Data Science, Mathematics, Computer Science, Engineering, or a related field.
  • Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Advanced knowledge of database systems (e.g., SQL, NoSQL) and cloud computing platforms (e.g., AWS, Azure, Google Cloud).
  • Experience working in DoD or government contracting environments, with a strong understanding of DoD standards and policies.
  • Demonstrated ability to develop and implement innovative solutions to complex technical challenges.
  • Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.

Work Environment/Conditions:

  • Determined by management if applicable.

Why CTC?

  • Mastering the future of manufacturing: Be at the forefront of technological advancements in advanced manufacturing.
  • Innovate for impact: Your work will push the boundaries of what's possible, from next-generation armaments to groundbreaking environmental solutions that directly impact critical missions and the lives of those protecting our country.
  • Work alongside the best: Collaborate with a passionate team of engineers and scientists, united by a shared drive to excel and a commitment to delivering outstanding results.
  • Leave your mark: CTC is more than just a job. It's a launchpad for your engineering dreams.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more.

Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr/

Staffing Requisition: SR# 2026-0076

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law."

Employment Type: FULL_TIME