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Remote Data Analytics Manager Jobs in Renton, WA

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$147K/yr

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 ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

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 ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

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 ...

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

This is a remote position (Washington candidates preferred). What You'll Do * Conduct market and ... Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings ...

Cyborg Mobile

Data & AI Program Manager

Redmond, WA · On-site +1

This is a remote position (Washington candidates preferred). **We are not interested in working ... Analyze data quality metrics (accuracy, consistency, coverage, and diversity) and turn findings ...

Meta

Energy Analyst, Data Center Portfolio

Seattle, WA · On-site +1

$132K/yr

... management across Meta's rapidly expanding global data center portfolio. In this role, you will ... Conduct comprehensive load and cost analytics to support regional expansion and inform energy ...

Dlapiper

Data Scientist

Seattle, WA · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Prioritizes, scopes and manages data science projects for internal stakeholders and clients.

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and ... Build and manage API integrations for data exchange between systems. * Write and optimize SQL ...

TrueBlue

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... Experience building and delivering machine learning, business intelligence, or data analytics ...

TrueBlue, Inc.

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... Experience building and delivering machine learning, business intelligence, or data analytics ...

RenewableWorks

Sr. Product Manager, Enterprise AI

Seattle, WA · Remote

$144K - $190K/yr

This is a remote opportunity, but applicants must reside in the greater Seattle area. ESSENTIAL ... Experience building and delivering machine learning, business intelligence, or data analytics ...

YO AI Labs

Pharmacovigilance Expert - Remote

Seattle, WA · Remote

$70 - $80/hr

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Aggregate Safety Data Analysis * Signal Management * Benefit-Risk Assessment * MedDRA Coding

YO AI Labs

Pharmacovigilance Expert - Remote

Seattle, WA · Remote

$70 - $80/hr

Remote Job Overview We are seeking experienced Pharmacovigilance Experts to contribute their drug ... Aggregate Safety Data Analysis * Signal Management * Benefit-Risk Assessment * MedDRA Coding

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All JobsData Analytics JobsRemote Data Analytics Manager JobsRemote Data Analytics Manager Jobs in Renton, WA

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 Sep 13, 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 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 the key skills and qualifications needed to thrive as a remote data analytics manager?

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 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 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 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:

Remote Data Analytics Manager jobs near you
Infographic showing various Remote Data Analytics Manager job openings in Renton, WA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $109,271 per year, or $52.5 per hour.

Data Engineer, Product Analytics

Seattle, WA • On-site, Remote

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$147K/yr

Full-time

Re-posted 21 days ago

Key responsibilities

  • Conceptualize and own the data architecture for multiple large-scale projects.

  • Design, build, and launch sophisticated data models and visualizations to support various use cases.

  • Collaborate with cross-functional teams to understand data needs and influence data-driven product development.

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Preferred Qualifications:
  • Master's or Ph.D degree in a STEM field
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$147,000/year to $208,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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