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Remote Data Analytics Manager Jobs in Renton, WA

Title: Remote Contract Specialist Location: Remote Compensation: $24-34/hr. Duration: 6-month ... and data management within a leading healthcare organization. This role focuses on analyzing ...

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Comprising Analysts, Data Scientists, and Engineers, our team brings a deep understanding of the ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

In this role, you will collaborate with software engineering, data science, and product management ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

In this role, you will collaborate with software engineering, data science, and product management ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

In this role, you will collaborate with software engineering, data science, and product management ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

In this role, you will collaborate with software engineering, data science, and product management ... Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture ...

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Showing results 1-20

Remote Data Analytics Manager information

See Renton, WA salary details

$34.9K

$109.3K

$193.5K

How much do remote data analytics manager jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analytics manager in Renton, WA is $109,271.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,200.00 and $141,200.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What does a Remote Data Analytics Manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are some common challenges faced by Remote Data Analytics Managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

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

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.
What are popular job titles related to Remote Data Analytics Manager jobs in Renton, WA? For Remote Data Analytics Manager jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Manager jobs in Renton, WA look for? The top searched job categories for Remote Data Analytics Manager jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Data Analytics Manager jobs? Cities near Renton, WA with the most Remote Data Analytics Manager job openings:
Infographic showing various Remote Data Analytics Manager job openings in Renton, WA as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $109,271 per year, or $52.5 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95K - $106K/yr

Other

Re-posted 5 days ago


Job description

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote