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Remote Ok Jobs (NOW HIRING)

psudo

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

psudo

$181K/yr

Remote : OK Job role: We're on the lookout for a product marketing manager to develop and execute marketing strategies to increase awareness and adoption of the product. Our ideal candidate is a ...

psudo

Remote : OK Job Role: As a software developer, you'll be the brain behind crafting, developing, testing, going live and maintaining the system. You are passionate in understanding the business ...

My3Tech Inc

Azure Data Engineer

$117K - $140K/yr

Austin, TX (Remote OK) Type: C2C/Fulltime Client: Loblolly/State of Texas Position Requirements: Seeking outstanding Azure Data Engineers with various levels of experience to be responsible for the ...

Qulinary

Automation Engineer/QA Manager (remote OK)

Quality Assurance Automation Engineer Are you passionate about quality and love writing code? We're looking for someone to take charge of expanding our test automation coverage and own the overall ...

Alfatech

Be Seen First

Design Engineer - Electrical (2+ yrs XP) -Hybrid Preferred, Remote OK

San Jose, CA · Remote

$110K - $130K/yr

Hybrid remote preferable, in San Jose, CA, we will consider Remote work for the right candidate. ***IMPORTANT NOTICE FOR REMOTE CANDIDATES: Your base compensation will be negotiable depending on your ...

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How much do remote ok jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote ok in the United States is $32.69, according to ZipRecruiter salary data. Most workers in this role earn between $30.77 and $34.62 per hour, depending on experience, location, and employer.

What are some common challenges of working in a remote position, and how can I overcome them?

Working in a remote position often presents challenges such as maintaining clear communication with team members, managing time effectively, and avoiding feelings of isolation. To overcome these, it's important to be proactive in reaching out to colleagues, establishing a daily routine, and utilizing collaboration tools like Slack or Zoom. Many remote teams also schedule regular check-ins and virtual social events to foster a sense of connection. Setting up a dedicated workspace and establishing boundaries between work and personal life can also help improve productivity and well-being.

What are Remote Ok jobs?

Remote Ok jobs refer to employment opportunities that can be performed remotely, allowing employees to work from anywhere with an internet connection rather than commuting to a traditional office. The term 'Remote Ok' is also associated with the popular online job board Remote OK, which specializes in listing remote job openings across various industries and skill levels. These jobs are ideal for individuals seeking flexibility, work-life balance, or the ability to work for companies located in different regions or countries.

What are the key skills and qualifications needed to thrive as a Remote Worker, and why are they important?

To thrive as a Remote Worker, you need strong self-management, time management, and digital communication skills, typically supported by relevant experience in your field. Familiarity with collaboration tools such as Slack, Zoom, Trello, or project management software is essential. Proactive communication, adaptability, and self-motivation are vital soft skills that set successful remote workers apart. These skills are crucial for maintaining productivity, accountability, and effective collaboration while working independently from different locations.
What cities are hiring for Remote Ok jobs? Cities with the most Remote Ok job openings:
What are the most commonly searched types of Ok jobs? The most popular types of Ok jobs are:
Infographic showing various Remote Ok job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 54% Full Time, 34% Part Time, and 11% Contract. Highlights an 89% Physical, and 11% Remote job distribution, with an average salary of $68,000 per year, or $32.7 per hour.
Data Analyst / Data Scientist

Data Analyst / Data Scientist

psudo

On-site, Remote

Full-time

Re-posted 5 days ago

Job description

Other locations: Canada, London, India & Australia.


Remote: OK


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs

Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over 2-3 years (open to talk to freshers as well).
  • Ability to program in any high level language is required. Familiarity with R and statistical packages are preferred.
  • Proven problem solving and debugging skills.
  • Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation and processing. Work experience with real data for customer insights, business and market analysis will be advantageous.
  • Experience with text analytics, data mining and social media analytics.
  • Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.
Employment Type: FULL_TIME

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