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Remote Part Time Data Analytics Jobs in Windber, PA

The position manages systems analysis, development, testing, debugging, documenting, and installing ... Data access technology such as: Microsoft Entity Framework, ADO.NET and/or other object-relational ...

The position manages systems analysis, development, testing, debugging, documenting, and installing ... Data access technology such as: Microsoft Entity Framework, ADO.NET and/or other object-relational ...

Remote Part Time Data Analytics information

See Windber, PA salary details

$21

$48

$83

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

As of Aug 25, 2026, the average hourly pay for remote part time data analytics in Windber, PA is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $55.00 per hour, depending on experience, location, and employer.

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

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

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

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

Infographic showing various Remote Part Time Data Analytics job openings in Windber, PA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 21% In-person, and 79% Remote job distribution, with an average salary of $100,971 per year, or $48.5 per hour.

Virtual Learning Facilitator - Part-time

Appalachia Intermediate Unit 8

Altoona, PA • On-site, Remote

Part-time, Contractor

Re-posted 17 days ago


Job description

Position Type:
World of Learning Institute/Virtual Learning Facilitator
Date Posted:
10/8/2020
Location:
Remote/Appalachia Intermediate Unit 8 ExecutiveDescription:
Appalachia Intermediate Unit 8 is seeking certified and qualified applicants to serve as Part-Time Virtual Learning Facilitators. These virtual teaching positions are part-time (12 month) positions.
Our ideal candidate will be an eager learner who embraces using best practices in the virtual classroom, is an excellent communicator, and works well in a team environment.
We are looking for candidates qualified to teach world languages (multiple languages preferred) and core/elective subjects - including but not limited to:
  1. World Languages (ASL, Arabic, Chinese, French, German, Japanese, Latin, Portuguese and Spanish).
  2. Mathematics
  3. Science
  4. Social Studies
  5. English/ELA
  6. Electives

Job Summary:
Virtual Learning Facilitators (VLF) work from home and host live, virtual instruction using Zoom technology. VLFs apply research-based practices and commit to tailoring class activities to meet learners' interests and needs.
Virtual Learning Facilitators will be trained in the use of live video technology and a Learning Management System (LMS) to teach both synchronously and asynchronously.
Qualifications:
  1. A Bachelor's Degree is required
  2. Certification to teach the appropriate subject area as required by the Pennsylvania Department of Education or other alternative credentials is preferred.
  3. Experience in instructional design and/or virtual learning preferred.
  4. Must possess current, valid Act 34, Act 114, and Act 151 clearances, as well as completed and acceptable Act 168 background checks.

Working Conditions:
A Virtual Learning Facilitator will be required to frequently stand, walk, sit, squat/stoop, reach and lift items of varying weights.
A Virtual Learning Facilitator must be adept in operating computer; be able to work independently and follow-through to completion of assigned tasks; prioritize and manage multiple tasks; interpret, analyze and problem solve in all areas of assigned responsiblities. A Virtual Learning Facilitator must be able to converse and interact with individuals with diverse levels of education and abilities. Must be able to read and understand documents related to federal, state, and local mandates, as well as complex documents relating to education.
Work Environment:
Normal office, presentation room and virtual environment.
The position holder must be able to perform the essential job functions with or without reasonable accommodation. It is the responsibility of the employee to inform the employee's immediate Intermediate Unit Supervisor or the Chief Education Officer of any and all reasonable accommodation requests.
Prior to employment, any new employee must obtain a certificate of medical examination as well as a tuberculosis test as required under Chapter 14 of the Public School Code, 24 P.S. §§14-1416, 14-1418; 22 Pa Code §49.12(b) (regarding education); and 28 Pa Code §23.44 (regarding health and safety).
Appalachia Intermediate Unit 8 is an equal opportunity employer
Application Procedure:
Apply online