ZipRecruiter

Log In

1

Product Analytics Manager Jobs in Washington (NOW HIRING)

Meta

Data Engineer, Product Analytics

Washington, DC · 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 ...

Autodesk

Business Analytics Manager

Washington, DC · On-site +1

Design and build scalable data products, including pipelines, tables, dashboards, reporting layers ... management * Demonstrated ability to structure ambiguous problems, perform deep analysis, and ...

Remitly

Product Analyst

Arlington, VA · On-site

$116 - $136/hr

At least 3-4 years of experience in product analytics, product management, customer analytics, or a related quantitative/product role, ideally within fintech, e‑commerce, or similar industries.

3E

AI & Marketing Analytics Manager

Washington, DC · On-site

$95 - $150/hr

... people and products. With over 35 years of experience and a global presence, we empower our ... About the Role 3E is looking for an Marketing Analytics Manager to help transform how our Marketing ...

New

Remitly

Product Analyst

Arlington, VA

$116K - $135K/yr

At least 3-4 years of experience in product analytics, product management, customer analytics, or a related quantitative/product role, ideally within fintech, e-commerce, or similar industries. Where ...

Remitly, Inc.

Product Analyst

Arlington, VA · On-site

$116K - $135K/yr

At least 3-4 years of experience in product analytics, product management, customer analytics, or a related quantitative/product role, ideally within fintech, e-commerce, or similar industries. Where ...

previous pagenext page

Showing results 21-40

All JobsProduct Analytics JobsProduct Analytics Manager JobsProduct Analytics Manager Jobs in Washington

Product Analytics Manager information

See Washington salary details

$58.3K

$180.5K

$223.1K

How much do product analytics manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for product analytics manager in Washington is $180,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $159,700.00 and $223,100.00 per year, depending on experience, location, and employer.

What is a product analytics manager?

Product Analytics Managers are professionals responsible for analyzing data related to a company's products to inform decision-making and strategy. They help teams understand user behavior, product performance, and market trends by leveraging data analysis and visualization tools. Their insights guide product development, feature prioritization, and business growth. Typically, they collaborate with product managers, engineers, designers, and business stakeholders to ensure that data-driven decisions are at the heart of product strategy.

What are the key skills and qualifications needed to thrive as a product analytics manager?

To thrive as a Product Analytics Manager, you need expertise in data analysis, statistical modeling, and product strategy, often backed by a degree in a quantitative field and experience in analytics roles. Proficiency with analytics tools such as SQL, Python, Tableau, and product analytics platforms like Mixpanel or Amplitude is typically required. Strong communication, problem-solving, and stakeholder management skills help translate data insights into actionable product improvements. These skills are essential for driving data-informed decisions that enhance product performance and align with business goals.

What are some common challenges faced by product analytics managers when aligning data insights with product strategy?

Product Analytics Managers often encounter challenges in translating complex data findings into actionable insights that resonate with both technical and non-technical stakeholders. Balancing immediate product needs with long-term strategic goals can require prioritizing certain analyses and recommendations over others. Additionally, ensuring data quality and consistency across multiple sources can be demanding, especially in fast-paced environments where product features and user behaviors evolve quickly. Effective communication and collaboration with product managers, engineers, and designers are essential to drive data-informed decisions that support overall product growth.

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

AspectProduct Analytics ManagerData Analyst
Required credentialsBachelor's/Master's in Business, Analytics, or related fields; experience with analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work environmentCollaborates with product teams, marketing, and engineeringSupports various departments with data insights
Industry usageCommon in tech, e-commerce, SaaS companiesWidespread across industries including finance, healthcare, retail

The Product Analytics Manager focuses on analyzing product performance and user behavior to inform product development, while the Data Analyst provides broader data insights across departments. Both roles require strong analytical skills and familiarity with data tools, but the Product Analytics Manager has a more specialized focus on product metrics and strategy.

What are the most commonly searched types of Product Analytics jobs in Washington?

The most popular types of Product Analytics jobs in Washington are:

What are popular job titles related to Product Analytics Manager jobs in Washington?

For Product Analytics Manager jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Product Analytics Manager jobs in Washington look for?

The top searched job categories for Product Analytics Manager jobs in Washington are:

What cities in Washington are hiring for Product Analytics Manager jobs?

Cities in Washington with the most Product Analytics Manager job openings:

Product Analytics Manager jobs near you
Infographic showing various Product Analytics Manager job openings in Washington as of June 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $180,541 per year, or $86.8 per hour.

Data Engineer, Product Analytics

Meta

Washington, DC • On-site, Remote

$177K/yr

Full-time

Re-posted 25 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

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 visually 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
  • 7+ 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
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

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.
$177,000/year to $247,000/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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply