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Remote Part Time Data Analytics Jobs in Pittsburgh, PA

Tetra Tech

Part-Time Temporary Architect

Pittsburgh, PA · On-site +1

$80K - $107K/yr

Our work leverages cutting-edge technologies, advanced analytics, and the expertise of world-class ... Primarily office or remote office environment with computer-based work. * Occasional travel to ...

micro1 AI

Director of Biostatistics

Pittsburgh, PA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

micro1 AI

Biostatistician

Pittsburgh, PA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Pantherx Specialty LLC

Database Administrator

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Supports application and analytics teams with database deployments, schema changes, and data ... Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx ...

Posted today

PNC

Senior Mortgage Loan Officer-HLC SIT

Pittsburgh, PA · On-site +1

$37K - $44K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position may be eligible for remote work in select geographic locations, subject to approval ... To learn more about these and other programs, including benefits for full time and part-time ...

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All JobsData Analytics JobsRemote Part Time Data Analytics JobsRemote Part Time Data Analytics Jobs in Pittsburgh, PA

Remote Part Time Data Analytics information

See Pittsburgh, PA salary details

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$53

$91

How much do remote part time data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote part time data analytics in Pittsburgh, PA is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What are popular job titles related to Remote Part Time Data Analytics jobs in Pittsburgh, PA?

For Remote Part Time Data Analytics jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Part Time Data Analytics jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Part Time Data Analytics jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Part Time Data Analytics jobs?

Cities near Pittsburgh, PA with the most Remote Part Time Data Analytics job openings:

Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Pittsburgh, PA • Remote

$90 - $120/hr

Part-time

Posted 19 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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