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Remote Predictive Analytics Jobs (NOW HIRING)

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting ... Develop fraud detection algorithms using statistical modeling and predictive analytics. * Perform ...

Moody's Analytics

MLOps Engineer

New York, NY · On-site +1

In the Predictive Analytics AI group, we build data-driven, highly distributed machine learning ... We have a flexible work environment and allow remote work depending on one's personal choice.

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$83.5K

$127K

$171K

How much do remote predictive analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote predictive analytics in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is remote predictive analytics?

Remote predictive analytics jobs involve analyzing large datasets to identify patterns, trends, and future outcomes, all while working from a location outside of a traditional office. Professionals in these roles use statistical methods, machine learning, and data modeling to forecast business results and provide actionable insights. They often collaborate with teams virtually and use specialized software to process and interpret data. These positions are common in industries like finance, healthcare, marketing, and e-commerce where understanding future trends is crucial.

What skills and qualifications are needed for remote predictive analytics?

To thrive in Remote Predictive Analytics, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree in data science, mathematics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based analytics platforms is essential, along with certifications such as SAS, AWS, or Google Cloud. Strong problem-solving, communication, and time management skills help professionals effectively interpret data insights and collaborate remotely with stakeholders. These competencies are critical for delivering accurate, actionable predictions and driving data-informed decisions in distributed work environments.

How do remote predictive analytics professionals collaborate with cross-functional teams?

Remote predictive analytics professionals frequently collaborate with data engineers, business analysts, and stakeholders through virtual meetings and shared digital platforms. They often participate in agile workflows, leveraging collaboration tools like Slack, Jira, or Trello to coordinate tasks and share progress. Effective communication of complex findings to non-technical team members is a key challenge, so clear documentation and visualization tools are essential. Building strong relationships remotely requires proactive engagement and regular check-ins to ensure project alignment and timely delivery of analytics insights.
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Remote Predictive Analytics jobs near you
Infographic showing various Remote Predictive Analytics job openings in the United States as of September 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

SalesOps & Business Analytics Specialist - Remote

San Jose, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $140/hr

Full-time

Posted 14 days ago

Job description

Sales Ops & Business Analytics Specialist

Job Type: Full-time
Location: Remote

Job Summary

We are seeking a Sales Operations & Business Analytics Specialist to improve CRM operations, pipeline visibility, forecasting, and business reporting. The role focuses on turning sales data into actionable insights and scalable processes.

Key Responsibilities
  • Manage and optimize CRM operations, data quality, workflows, and reporting.
  • Monitor sales pipelines and support forecasting.
  • Build dashboards and analyze sales performance, conversion, and quota attainment.
  • Develop forecasting models using historical and predictive data.
  • Support sales tools, processes, and CRM improvements.
  • Provide data-driven recommendations to leadership and cross-functional teams.
  • Conduct ad hoc analysis for KPIs, incentives, lead generation, and business operations.
Requirements
  • 2–4+ years in Sales Operations, Revenue Operations, Business Analytics, or related roles.
  • Experience with CRM platforms; HubSpot preferred.
  • Strong Excel/Google Sheets skills.
  • Experience with SQL and/or BI tools such as Tableau, Looker, or Power BI.
  • Knowledge of forecasting, data modeling, and sales analytics.
  • Strong communication, analytical, and problem-solving skills.
Preferred
  • Advanced HubSpot proficiency/certification.
  • Experience with predictive analytics, forecasting, quotas, incentives, or KPI analysis.
  • Cross-functional analytics experience.