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Analytics Manager Jobs in Remote, OR (NOW HIRING)

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

Company Description Launched in 2017, Quinsite is a rapidly growing M-SaaS (managed software as a service) company offering advanced analytics solutions for healthcare organizations nationwide.

Client Success Manager

OR · On-site +1

Company Description Launched in 2017, Quinsite is a rapidly growing M-SaaS (managed software as a service) company offering advanced analytics solutions for healthcare organizations nationwide.

Company Description Launched in 2017, Quinsite is a rapidly growing M-SaaS (managed software as a service) company offering advanced analytics solutions for healthcare organizations nationwide.

Summary We are looking for a Manager of Business Transformation to sit at the intersection of operational strategy, data analytics, and cross-functional collaboration. In this role, you will own and ...

EHS Manager

Sutherlin, OR

$81K - $110K/yr

Manage safety data systems, analytics, and OSHA recordkeeping to identify trends and drive ... continuous improvement. * Serve as the primary contact for all incidents, injuries, notifications ...

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Showing results 1-20

Analytics Manager information

See Remote, OR salary details

$64.4K

$125.2K

$178.8K

How much do analytics manager jobs pay per year?

As of Jun 18, 2026, the average yearly pay for analytics manager in Remote, OR is $125,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $148,900.00 per year, depending on experience, location, and employer.

What Is an Analytics Manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

What are Analytics Managers?

Analytics Managers are professionals responsible for overseeing the collection, analysis, and interpretation of data to help organizations make informed business decisions. They lead teams of data analysts, develop strategies for data management, and translate complex data findings into actionable insights. Analytics Managers often collaborate with other departments to identify business challenges and recommend data-driven solutions. Their role is crucial in enabling companies to optimize processes, improve performance, and gain a competitive edge.

What do analytics managers do?

Analytics managers oversee data analysis teams to interpret complex data sets, develop insights, and support business decision-making. They design data strategies, utilize tools like SQL and Tableau, and ensure data accuracy and integrity while managing projects and collaborating with other departments.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

Is AI replacing data analysts?

AI is transforming the role of analytics managers and data analysts by automating routine data processing and analysis tasks. However, human expertise remains essential for interpreting complex insights, making strategic decisions, and developing models. Data analysts who develop skills in AI tools and programming languages like Python or R are better positioned to adapt to these technological changes.

How does an Analytics Manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What does an analyst manager do?

An analytics manager oversees data analysis teams to develop insights that support business decision-making. They coordinate data collection, interpret complex data sets, and communicate findings to stakeholders, often using tools like SQL, Excel, or data visualization software. Strong leadership, analytical skills, and knowledge of data management are essential for this role.

What are the key skills and qualifications needed to thrive as an Analytics Manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
What are the most commonly searched types of Analytics jobs in Remote, OR? The most popular types of Analytics jobs in Remote, OR are:
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Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Remote Financial Planning & Analysis Manager - AI Trainer ($50-$60 per hour)

Data Annotation

Coos Bay, OR • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.


Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the next generation of AI while enjoying the flexibility of remote work and the freedom to set your own schedule. This role is designed to fit a variety of lifestyles — whether you’re looking to contribute part-time alongside a current position, pursue it full-time, or engage periodically as a flexible professional opportunity.

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

We’re growing a team of finance experts, and as the team grows, so will your opportunities. In this role, you might:

  • Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets
  • Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work
  • Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’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 Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Benefits:

  • This is a full-time or part-time REMOTE position
  • You’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-quality 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 handle any currency conversions from USD. This is an independent contract position.