Product Analytics

Product Analytics Engineer Jobs

9 jobs found

1d ago

Data Engineer, Product Analytics

Meta Remote 🌍 Remote

Remote

1d ago

$177k - $247k/yr Full time Analytics Data Analytics Data Architecture

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Job Description

Meta is seeking a Data Engineer for Product Analytics to design scalable data architectures, build robust data models, and create insightful visualizations that inform product development and business decisions across Meta apps. This role works closely with software engineering, data science, and product management teams to translate data into actionable products and insights.

Compensation and Location

Location: Remote. Compensation: USD 177,000 to 247,000 per year.

Responsibilities

Lead the data architecture design for multiple large scale projects, evaluating design and operational cost-benefit tradeoffs.
Develop and contribute to frameworks that improve data logging efficacy, collaborating with data infrastructure to triage and resolve issues.
Work with engineers, product managers, and data scientists to understand data needs and present key insights visually in meaningful ways.
Define and manage Service Level Agreements for data sets within ownership scope.
Establish and enforce security models based on privacy requirements, safeguard data, address quality issues, and evolve governance processes.
Design, build, and launch sophisticated data models and visualizations that support multiple use cases across products or domains.
Address complex data integration challenges using optimal ETL patterns, frameworks, and query techniques, sourcing from structured and unstructured data.
Assist in owning production processes, optimizing code through advanced algorithmic approaches.
Improve pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
Influence product and cross-functional teams to identify data opportunities that drive measurable impact.
Provide mentorship to team members through constructive feedback and knowledge sharing.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
7+ years of experience in roles where data is a primary focus (data analyst, data scientist, data engineer, or similar).
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala, or equivalent).

Technologies

SQL
Python
C++
C#
Scala
ETL

Benefits

Bonus
Equity
Benefits

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4d ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

4d ago

$114k - $173k/yr Full time .NET Analytics Business Intelligence

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Job Description

Data Engineer for Product Analytics at Meta in Menlo Park, CA (onsite), with a salary range of USD 114,000 - 173,000 per year.

Responsibilities

Plan and execute data warehouse initiatives for a product or group of products to address clearly defined problems.
Determine data requirements for business problems and implement the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to capture data needs and present key insights in a meaningful way.
Develop domain data expertise and apply privacy, security, compliance, data quality, and operational controls for your areas of ownership.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently design, build, and deploy new ETL processes in production, mentoring others on efficient querying.
Support existing production processes and implement optimized solutions with limited guidance.
Define and manage service level agreements for data sets in your ownership area.

Requirements

2+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala, or similar).

Technologies

SQL
ETL
Python
C++
C#
Scala

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 wil

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1mo ago

Data Engineer, Product Analytics

Meta Remote 🌍 Remote

Remote

1mo ago Closed

$147k - $208k/yr Full time Big Data Data Analysis Data Architecture

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Meta offers a remote Data Engineer, Product Analytics role with a competitive salary range of USD 147,000 to 208,000 per year, plus bonus, equity, and comprehensive benefits. You will help build scalable data architectures and visualizations that inform product decisions across billions of users. Collaborate with engineers, data scientists, and product managers to design data solutions that optimize growth, strategy, and user experience.

Benefits

Bonus
Equity
Benefits

Responsibilities

Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, collaborating 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 challenging data integration problems using optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing production processes, 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 and receiving actionable feedback

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
4+ years of experience in a data-focused role such as data analyst, data scientist, data engineer, or similar
4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Technologies

SQL
Python
C++
C#
Scala
ETL

Preferred Qualifications

Master's or PhD in a STEM field
Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
Experience applying responsible, ethical AI practices, including risk assessment and bias mitigation
Ongoing AI skill development and familiarity with emerging AI technologies

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1mo ago

Data Engineer, Product Analytics

Meta Burlingame, CA

Burlingame, CA

1mo ago Closed

$114k - $173k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Meta is seeking a Data Engineer specializing in Product Analytics to build scalable data artifacts, models, and visualizations that inform product analytics across Meta applications. Working onsite in Burlingame, CA, this role collaborates with software engineering, data science, and product management teams to optimize growth strategies and enhance the user experience.

Job Details

Location: Burlingame, CA (onsite)
Compensation: USD 114,000 - 173,000 per year
Experience: 2+ years
Education: Bachelor's degree

Responsibilities

Plan and execute data warehouse initiatives for a product or group of products to address clearly defined problems.
Determine the data needed for a business question and implement the required logging to ensure data availability, collaborating with data infrastructure to triage and resolve issues.
Work with engineers, product managers, and data scientists to translate data needs into meaningful insights and clear presentations.
Develop data expertise and apply data controls to ensure privacy, security, compliance, data quality, and operational integrity for assigned domains.
Design, build, and deploy new data models and production visualizations using common development toolkits.
Independently design, build, and launch new ETL processes in production, mentoring others on writing efficient queries.
Support existing production processes and implement optimized solutions with limited guidance.
Define and manage Service Level Agreements for data sets within assigned areas.

Requirements

2+ years of experience in a role where data is the primary focus (data analyst, data scientist, data engineer, or similar).
Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
2+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since the launch of Facebook in 2004, it has transformed how people connect. Apps like Messenger, Instagram, and WhatsApp have empowered billions around the world. Meta continues to move beyond 2D screens toward immersive experiences such as augmented and virtual reality to drive the next evolution in social technology.

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1mo ago

Manager, Software Engineering Product Manager (Annuity Data Platform)

Nationwide Columbus, OH

Columbus, OH

1mo ago Closed

Full time Manager Ai Workflows Analytics

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

Nationwide Technology invites you to influence how data powers modern insurance solutions. This role leads the Annuity Data Platform team in delivering data capabilities, AI-enabled solutions, and modernization outcomes from a hybrid Columbus, Ohio schedule (in-office Wednesdays and Thursdays). You’ll guide a skilled group of engineers and data professionals, shaping platform strategy and ensuring secure, scalable data foundations that serve multiple annuity capabilities and downstream consumers.

Responsibilities

Define and drive the strategic direction for the Annuity Data Platform in alignment with organizational goals, the Annuity Modernization Program, and broader Data Strategy priorities.
Establish an outcome-based roadmap for ADP that balances first-launch delivery with long-term platform scalability, reuse, analytics, and AI enablement.
Partner with architecture and business leaders to ensure the platform supports modernization capabilities, downstream consumers, and future-state reporting, analytics, and AI needs.
Lead the ADP team in delivering data capabilities required for Annuity Modernization first launch, including support for priority business capabilities and critical-path features.
Ensure backlog readiness, sequencing, and alignment to milestone planning, integrated plans, and cross-team handoffs to enable predictable delivery against committed outcomes.
Address scope, dependency, and capacity issues impacting delivery while maintaining focus on business value, schedule commitments, and quality.
Lead the design, development, and operation of scalable, secure, and resilient data platform capabilities that meet business and technology needs.
Establish and mature engineering practices across the ADP team, including DevSecOps, automation, observability, and reliable run operations support.
Maintain strong controls around platform health, data quality, stability, support readiness, and risk mitigation as ADP becomes foundational to multiple annuity capabilities.
Partner with enterprise and program data leaders to shape and implement Data Strategy for Annuity, including data modeling, lineage, governance, and reusable platform patterns.
Identify high-value opportunities for AI-based solutions enabled by trusted, governed, and reusable data assets on the ADP platform.
Help define and mature foundational AI capabilities in data, including reliable data pipelines, governed data assets, reusable data products, and platform patterns for analytics and automation.
Ensure the platform provides trusted, consumable data for operational processes, regulatory needs, reporting, analytics, and future AI-driven solutions.
Work with business stakeholders to understand pain points and opportunities that data and AI-based solutions can address.
Translate opportunities into actionable use cases, roadmaps, and delivery plans with cross-functional teams.
Promote pragmatic adoption of AI-enabled capabilities that improve operational efficiency and speed to insight while aligning to enterprise standards and risk controls.
Connect AI and data solutions to measurable business outcomes that support Annuity Modernization goals.
Foster partnerships across Annuity Technology, IDS, Data Architecture, Program Leadership, and business stakeholders to ensure seamless delivery of platform capabilities.
Collaborate with partner teams such as ALIP, Real Time Integrations, Workflow, and Correspondence to manage interdependencies and align delivery plans.
Represent the ADP initiative in planning, governance, and escalation forums as a key leadership voice.
Develop and manage a workforce strategy for the ADP team, aligning skills and capacity with modernization demand and first-launch commitments.
Manage vendor relationships and external partnerships to ensure high-quality delivery, efficient onboarding, and scalable support where needed.
Optimize build and run costs while maintaining delivery quality, platform resiliency, and long-term value realization.
Cultivate an engineering culture focused on accountability, collaboration, learning, and continuous improvement.
Strengthen the team’s ability to plan, execute, and support data platform work through operating rhythms, performance metrics, and talent development.
Stay current on industry trends in data platforms, cloud, automation, analytics, and AI, applying insights to improve team effectiveness and platform outcomes.

Requirements

Proven experience leading software engineering and/or data platform teams in large, complex technology environments.
Strong understanding of data platforms, data engineering, data architecture, and modern software delivery practices.
Experience leading transformational programs with significant cross-functional dependency management, delivery execution, and operational accountability.
Solid knowledge of DevSecOps, SRE and operational practices, automation, and engineering maturity improvement.
Experience enabling data-driven and AI-supported solutions through strong partnerships with business stakeholders, architects, and engineering teams.
Understanding of foundational capabilities for analytics, automation, and AI use cases, including data quality, governance, lineage, and scalable platform design.
Excellent collaboration, communication, and stakeholder management skills with the ability to influence across business and technology organizations.
Ability to lead and inspire cross-functional teams while balancing immediate delivery needs with longer-term strategic platform outcomes.
Up-to-date knowledge of technology trends in cloud, data, analytics, and emerging AI capabilities.
Undergraduate studies in management information systems, engineering, math, computer science or comparable experience and education.
Six years of experience in application suite management with at least four years leading multiple teams across technologies; demonstrated success in building engaged teams.

Benefits

Medical, dental, and vision coverage
Life Insurance
Short and long term disability coverage
Paid time off including a minimum of 18 days per year for new hires, pro-rated quarterly based on hire date
Nine paid holidays
8 hours of Lifetime paid time off
8 hours of Unity Day paid time off
401(k) with company match
Company-paid pension plan
Business casual attire

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1mo ago

Data Engineer, Product Analytics

Meta New York, NY

New York, NY

1mo ago Closed

$147k - $208k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Aug 2, 2026).

Job Description

This onsite Data Engineer, Product Analytics role in New York, NY offers a yearly salary range of USD 147,000 to 208,000 and invites you to join a collaborative, data-driven environment. You will design scalable data solutions, guide data architecture, and deliver insights that shape product development across Meta’s apps for billions of users and businesses worldwide. You will work closely with software engineers, data scientists, and product managers to optimize growth, strategy, and user experience.

Responsibilities

Own and design the data architecture for multiple large-scale projects, weighing design quality against cost and operational tradeoffs.
Develop and contribute to frameworks that improve data logging efficacy, collaborating with data infrastructure to triage issues and implement fixes.
Collaborate with engineers, product managers, and data scientists to understand data needs and present key insights in meaningful ways.
Define and govern Service Level Agreements for data sets within your areas of ownership.
Establish and enforce a security model based on privacy requirements, ensure safeguards are followed, address data quality issues, and evolve governance processes within your domains.
Design, build, and deploy sophisticated data models and visualizations that support multiple use cases across different products or domains.
Address complex data integration challenges using effective ETL patterns, frameworks, and query techniques, sourcing from structured and unstructured data.
Assist in owning production processes, optimizing code using advanced algorithmic concepts.
Improve pipelines, dashboards, frameworks, and systems to streamline the development of data artifacts.
Influence product and cross-functional teams to identify data opportunities and drive impact.
Mentor team members through actionable feedback and knowledge sharing.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
At least 4 years of experience with data as a primary focus, including roles such as data analyst, data scientist, data engineer, or similar.
At least 4 years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala).

Technologies

SQL
Python
C++
C#
Scala

Preferred Qualifications

Master's or PhD degree in a STEM field.
Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience implementing responsible, ethical AI practices, including risk assessment, bias mitigation, and quality reviews.
Active engagement in ongoing AI skill development and familiarity with emerging AI technologies.

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1mo ago

Data Engineer, Product Analytics (University Grad)

Meta Bellevue, WA

Bellevue, WA

1mo ago Closed

$99k - $139k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Meta offers a data driven, collaborative environment where you can build scalable data solutions that inform product decisions and growth across Meta's apps. This on-site role in Bellevue, WA pays $99,008 to $139,000 per year and includes Bonus, Equity, and Benefits. You will partner with software engineers, data scientists, and product managers to transform data into actionable insights.

Benefits

Bonus
Equity
Benefits

Responsibilities

Plan and implement data warehouse strategies for a product or product group to address clearly defined problems
Identify data requirements for business challenges and implement logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues
Collaborate with engineers, product managers, and data scientists to interpret data needs and present insights in a meaningful way
Develop data expertise and apply data controls to ensure privacy, security, compliance, data quality, and smooth operations for assigned domains
Design, build, and deploy new data models and production ready visualizations using standard development toolkits
Independently design, build and deploy new data extraction, transformation, and loading processes in production, mentoring others on efficient queries
Maintain existing production processes and deliver optimized solutions with limited guidance
Define and manage Service Level Agreements for data sets within owned areas

Requirements

Proficiency in SQL
Programming experience in Python
Knowledge of database systems
Must have work authorization in the country of employment at the time of hire and maintain it throughout employment

Technologies

SQL
Python

Preferred Qualifications

Curious, self-driven, analytical and excited to work with data
Experience thriving in a fast paced work environment
Experience collaborating with individuals and organizations across teams
Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
Experience implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality reviews
Ongoing AI skill development and familiarity with emerging AI technologies

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1mo ago

Data Engineer, Product Analytics

Meta San Francisco, CA

San Francisco, CA

1mo ago Closed

$147k - $208k/yr Full time Analytics Big Data Data Analysis

1mo ago

Data Engineer II, PPE Product Intelligence

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

$132k - $179k/yr Full time Python Analytics AWS

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