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Remote Data Analytics Project Manager Jobs in Utah

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Remote Data Analytics Project Manager information

What are the key skills and qualifications needed to thrive as a Remote Data Analytics Project Manager, and why are they important?

To thrive as a Remote Data Analytics Project Manager, you need a solid background in data analytics, project management methodologies, and typically a bachelor's degree in a related field. Familiarity with analytics tools (like Tableau, Power BI), project management software (such as Jira or Asana), and certifications like PMP or Agile are highly beneficial. Exceptional communication, problem-solving, and leadership skills help coordinate remote teams and manage stakeholder expectations. These skills ensure that projects are delivered on time, data-driven insights are actionable, and teams remain aligned despite working remotely.

What is a Remote Data Analytics Project Manager?

A Remote Data Analytics Project Manager oversees data analytics projects while working from a remote location, often coordinating virtual teams and managing project timelines, resources, and deliverables. They bridge the gap between technical data teams and business stakeholders, ensuring that analytics solutions align with business goals. These professionals are responsible for project planning, risk management, communication, and quality assurance throughout the project lifecycle. Their role requires strong leadership, analytical skills, and proficiency with data analytics tools and project management methodologies.

How do Remote Data Analytics Project Managers effectively coordinate with distributed analytics teams?

Remote Data Analytics Project Managers rely on robust communication tools and clear project management processes to ensure all team members stay aligned, regardless of location. They frequently schedule virtual meetings, set up centralized dashboards for tracking progress, and use collaboration platforms to share updates and resolve issues quickly. Building strong relationships with data analysts, engineers, and stakeholders is key to anticipating challenges and maintaining transparency throughout the project lifecycle. This approach helps ensure deadlines are met and project goals are achieved, even in a remote environment.

What is the difference between Remote Data Analytics Project Manager vs Data Analyst?

AspectRemote Data Analytics Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; PMP or similar certificationsBachelor's in Statistics, Data Science, or related field; often no certification required
Work EnvironmentLeads projects, collaborates with teams remotely, manages timelinesAnalyzes data, creates reports, often works independently or in small teams remotely
Employer & Industry UsageTech, finance, healthcare companies managing data projects remotelyVarious industries, focusing on data analysis and reporting

The Remote Data Analytics Project Manager oversees data projects, coordinating teams and managing timelines, while Data Analysts focus on analyzing data and generating insights. Both roles often work remotely and require strong analytical skills, but project managers have additional responsibilities in leadership and project delivery.

What are popular job titles related to Remote Data Analytics Project Manager jobs in Utah? For Remote Data Analytics Project Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Project Manager jobs in Utah look for? The top searched job categories for Remote Data Analytics Project Manager jobs in Utah are:
What cities in Utah are hiring for Remote Data Analytics Project Manager jobs? Cities in Utah with the most Remote Data Analytics Project Manager job openings:
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

South Weber, UT โ€ข Remote

$50 - $60/hr

Other

Posted 10 days ago


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextย generation of AI while enjoying the flexibility of remote work and the freedom to set your ownย schedule. This role is designed to fit a variety of lifestyles โ€” whether youโ€™re looking toย contribute part-time alongside a current position, pursue it full-time, or engage periodically as aย flexible professional opportunity.


We're currently expanding into an exciting new area โ€“ teaching AI Assistant models to be aย more useful tool for finance professionals. We're seeking experienced finance professionalsย with advanced degrees (MBA+) and professional experience to use their expertise to help shapeย how AI understands financial principles and decision-making.


Weโ€™re growing a team of finance experts, and as the team grows, so will your opportunities. Inย this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporateย finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of anย AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where theirย reasoning holds up โ€“ and where it doesnโ€™t.
  • Share clear, structured feedback to help make each new version of the AI smarter and more reliable.


To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Masterโ€™s or PhD (completed or in progress) is stronglyย preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporateย Development, Wealth Management, and Insurance Planning.


Benefits:

  • This is a full-time or part-time REMOTE position
  • Youโ€™ll be able to choose which projects you want to work on
  • You can work on your own schedule
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityย and high-volume work


Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance


Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Masters and/or PhD is is preferred but not required


Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handleย any currency conversions from USD. This is an independent contract position.