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Remote Data Analyst Jobs in Preston, ID (NOW HIRING)

... data-driven business analysis. Decide what to build next--and what not to build--based on a ... If remote proven communications and organizations skills working with remote teams on projects.

Implementation Manager

River Heights, UT · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

United States (Remote / WFH, with infrequent travel) Reports To: Implementation Team Lead ... Proficiency with project workflows, Salesforce CRM, AI workflow automation, and data analysis using ...

Implementation Manager

Logan, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

United States (Remote / WFH, with infrequent travel) Reports To: Implementation Team Lead ... Proficiency with project workflows, Salesforce CRM, AI workflow automation, and data analysis using ...

Location -In office, or Hybrid (In office Tuesday, Wednesday and Thursday) and remote or in office ... Analyze, identify, and fix data inconsistencies across the client service lifecycle. * Generate ...

Remote Data Analyst information

See Preston, ID salary details

$31.7K

$77.1K

$126.9K

How much do remote data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data analyst in Preston, ID is $77,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Preston, ID?

The most popular types of Data Analyst jobs in Preston, ID are:

What cities near Preston, ID are hiring for Remote Data Analyst jobs?

Cities near Preston, ID with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Preston, ID as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $77,110 per year, or $37.1 per hour.

Product Manager II

Juniper Systems

Logan, UT • Remote

Full-time

Re-posted 9 days ago


Job description

PRODUCT MANAGER II

Job Summary

We are seeking a visionary Product Leader to drive technology adoption and product strategy for our research agriculture portfolio. In this highly strategic role, you will work closely with research companies/institutions, and HarvestMaster Sales, Service, Engineering, and Manufacturing teams to assure that HarvestMaster continues to experience revenue growth and profitability while meeting customer needs. You will be responsible for the creation of a dominant multi-year roadmap.
You must bring deep, hands-on experience working directly within agricultural research companies/institutions. As the ultimate customer advocate and industry expert, you will leverage your established network and advanced Voice of the Customer (VOC) methodologies to direct our technology adoption efforts. Your primary mandate is to identify Critical Customer Needs (CCNs) and ensure our future solutions perfectly align with the evolving demands of modern agricultural researchers.

Job Duties and Responsibilities

  • Own the Vision, Roadmap, amp; Priorities: Define and continuously hone the product family roadmap. Clarify exactly what the product should achieve and how success will be measured through clear KPIs and data-driven business analysis. Decide what to build next—and what not to build—based on a rigorous assessment of impact, effort, risk, and overarching strategy.
  • Deep Market amp; VOC Integration: Actively leverage your existing network within the ag research industry. Understand customers and their core problems by talking directly to users, collecting feedback, analyzing usage data, and identifying pain points. Use advanced methodologies (e.g., Applied Marketing Science’s Voice of the Customer) to document and prioritize what researchers truly need to get their jobs done. Communicate with all HM customers segments, Commercial seed and Chemical Companies, Commercial Seed Companies, Contract Research Organization (CRO), Independent Researchers, Universities and USDA ARS facilities, International and National Institutes, Chemical Companies, and Co-Ops
  • Technical Pipeline Initiation amp; Execution: Translate VOC and market research into compelling Market Requirements Documents (MRDs). Turn ideas into clear user stories, acceptance criteria, and technical specifications that teams can build from. Participate actively in planning, answering questions, make strategic tradeoffs, and help remove blockers during execution.
  • Go-to-Market Strategy: Perform rigorous competitive analysis. Work seamlessly with Sales amp; Marketing and the Service group to successfully position, message, and launch the product, defining key differentiators and target customer profiles.
  • P amp;L and Pricing Ownership: Accountable for the fiscal success of the product line. Work closely with HarvestMaster Sales and Service teams to set strategic pricing and discount structures in conformance with the business model, unit profitability, and what the research market will bear.
  • Stakeholder Alignment: Report the fiscal performance and strategic positioning of the HarvestMaster product lines to the HarvestMaster Leadership team.
  • Supportability: Ensure that all products being developed are designed such that they can be efficiently supported in the field.
  • Database Management: Develop and maintain a database of customer needs using Applied Marketing Science’s Voice of the Customer methodology for HarvestMaster Products to guide new product development.

Skills, Knowledge, and Experience

  • Industry Expertise (Mandatory): Deep, practical experience working in the research agriculture industry/institutions. You understand the specific workflows, friction points, and tech demands of crop researchers and ag-tech innovators.
  • Education amp; Tenure: Bachelor of Science in business, engineering, agronomy, or a related field with 7+ years of practical business/product management experience. (MBA strongly desired).
  • Product Leadership: A proven track record of managing technical products, defining sweeping roadmaps, and launching successful, complex products.
  • Strategic Networking: Established industry connections. You possess the networking skills to naturally engage with key prospective customers, partners, and research entities.
  • Executive Communication: Exceptional organizational, leadership, and presentation skills to advocate for initiatives internally and externally. You must be able to synthesize diverse, complex data into clear, data-driven decisions without folding under pressure. Communicate with diverse groups of people from Research Directors, Professors, Procurement, Sales and Marketing, Engineers, and Service. If remote proven communications and organizations skills working with remote teams on projects.

Accountability

This individual is responsible for the HarvestMaster product lines, assuring the products meet HarvestMaster critical customer needs.

This position is accountable for balancing critical customer needs while generating a return on investment and revenue on the HM product line, that meets (or exceeds) requirements set by HarvestMaster Leadership Team and for reporting performance of the product line to HarvestMaster Leadership Team.

Working Conditions
Spending typically more than 15-20 nights per year away from home or working in areas in which you have to perform physical activities such as climbing, lifting, pushing, balancing, or reaching. This job requires a minimum of 40 hours per week, Monday through Friday. Normal time off is given for holidays. Weekend work may be required due to traveling and/or tradeshows. Must be able to see, speak, type, and sit for extended periods in an office environment.
The above statements describe the general nature and level of work being performed in this job function. This is not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Juniper Systems.
Juniper Systems, Inc. is an EQUAL OPPORTUNITY EMPLOYER All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other status protected by law.