Product Analytics

Product Analytics Developer Jobs

9 jobs found

Today

Data Engineer, Product Analytics

Meta Remote 🌍 Remote

Remote

Today

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

Apply Now

Job Description

Meta is seeking a Data Engineer for Product Analytics to design scalable data architectures, robust data models, and insightful visualizations that guide product development across its apps. This remote role collaborates with software engineers, data scientists, and product managers to translate complex data into meaningful decisions, while upholding governance and privacy requirements. The position offers a salary range of USD 177,000 to 247,000 per year.

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, while working with data infrastructure to triage issues and resolve them.
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 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.

Requirements

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, such as roles like data analyst, data scientist, or data engineer.
7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others).

Technologies

SQL
Python
C++
C#
Scala
ETL

Benefits

Bonus
Equity
Benefits

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3d ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

3d ago

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

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Job Description

Data Engineer, Product Analytics at Meta works onsite in Menlo Park, CA to build data artifacts and visualizations that support product analytics across Meta’s apps. The role partners with engineering, data science, and product management to design scalable data solutions with a strong emphasis on privacy and data quality. The position offers a salary range of USD 114,000 to 173,000 per year and requires at least two years of relevant experience.

Responsibilities

Oversee and execute data warehouse plans for a product or a group of products to solve clearly defined problems
Identify the data needed for a business problem and implement the required logging to ensure data availability, coordinating with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers and data scientists to understand data needs and present key data insights in a meaningful way
Build data expertise and apply data controls to ensure privacy, security, compliance, data quality, and operational standards for assigned areas of ownership
Design, build and launch new data models and visualizations in production, leveraging common development toolkits
Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
Support existing processes running in production and implement optimized solutions with limited guidance
Define and manage Service Level Agreements for data sets in allocated areas of ownership

Requirements

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

Technologies

SQL
ETL
Python
C++
C#
Scala

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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 is seeking a Data Engineer for Product Analytics to help shape scalable data ecosystems and compelling visualizations that guide product decisions across billions of users. This role collaborates closely with engineers, data scientists, and product managers to design data solutions that influence growth, strategy, and user experience.

Responsibilities

Own the data architecture strategy for multiple large-scale initiatives, weighing design choices against cost and operational impact.
Develop and contribute to logging data frameworks, partnering with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to identify data needs and present key insights in meaningful ways.
Define and manage SLAs for data sets within your ownership.
Establish and enforce security models based on privacy requirements; ensure safeguards, address data quality issues, and evolve governance within your domains.
Design, build, and deploy sophisticated data models and visualizations that support multiple use cases across products or domains.
Tackle advanced data integration challenges using robust ETL patterns, frameworks, and query techniques across structured and unstructured sources.
Assist in owning production processes, optimizing complex code through 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 that drive impact.
Mentor team members by giving and receiving actionable feedback.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
At least four years of experience in roles focused on data, such as data analyst, data scientist, data engineer, or similar.
Four or more years of experience with SQL, ETL, data modeling, and proficiency in at least one programming language (Python, C++, C#, Scala, etc.).

Technologies

SQL
Python
C++
C#
Scala
ETL

Benefits

Bonus
Equity
Benefits

Preferred Qualifications

Master's or PhD degree in a STEM field.
Proven ability to integrate AI tools to optimize workflows and drive measurable impact.
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality/accuracy reviews.
Continued AI skill development such as prompt engineering and agent orchestration, 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 wil

Location

Remote

Compensation

USD 147,000 - 208,000 per yearly

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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 hiring a Data Engineer for Product Analytics to build scalable data artifacts, models, and visualizations that power product analytics across Meta apps. The role collaborates with software engineering, data science, and product management teams to influence growth, strategy, and user experience. This is an onsite position based in Burlingame, California, with a compensation range of USD 114,000 to 173,000 per year.

Responsibilities

Lead and execute data warehouse plans for a product or a group of products to address well-defined problems.
Determine data requirements for business challenges and implement the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues.
Work with engineers, product managers, and data scientists to understand data needs and present key insights in a clear, meaningful way.
Develop data expertise and apply data controls to ensure privacy, security, compliance, data quality, and operational reliability within assigned areas.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently create and deploy new extract, transform, and load processes in production, mentoring others on writing efficient queries.
Support ongoing production processes and implement optimized solutions with limited guidance.
Define and manage Service Level Agreements for data sets within assigned ownership.

Requirements

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

Technologies

SQL
ETL
Python
C++
C#
Scala

Compensation & Location

Location: Burlingame, CA (onsite)

Salary: USD 114,000 - 173,000 per year

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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 offers a collaborative, agile environment focused on secure, modern solutions that support exceptional care for customers. This role is based in Columbus, OH on a hybrid schedule with in-office days Wednesdays and Thursdays, and it leads the Annuity Data Platform team to deliver data capabilities, AI enabled solutions, and modernization outcomes.

Benefits

Medical, dental, and vision coverage
Life insurance
Short and long term disability coverage
Paid time off with new associates receiving a minimum of 18 days per full calendar year 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

Responsibilities

Define and drive the strategic direction for the Annuity Data Platform in alignment with organizational goals, the Annuity Modernization Program, and Data Strategy priorities
Establish an outcome based roadmap for ADP that balances first launch delivery with long term 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 for predictable execution against committed outcomes
Drive resolution of scope, dependency, and capacity issues impacting delivery while maintaining focus on business value, schedule commitments, and quality
Lead the design, development, and operationalization 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 run operations support
Ensure 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 the data space, including reliable data pipelines, governed data assets, reusable data products, and platform patterns that enable analytics, automation, and AI use cases
Ensure the platform enables trusted, consumable data for operational processes, regulatory needs, reporting, analytics, and future AI driven solutions
Work closely with business stakeholders to understand pain points, process inefficiencies, and decisioning opportunities addressable through data and AI based solutions
Partner across business and technology teams to translate opportunities into actionable use cases, roadmaps, and delivery plans
Promote pragmatic adoption of AI enabled capabilities that improve operational efficiency, speed to insight, and business value while aligning to enterprise standards and risk controls
Ensure AI and data solutions are tied to measurable business outcomes and support the broader goals of Annuity Modernization
Foster close partnerships across Annuity Technology, IDS, Data Architecture, Program Leadership, and business stakeholders to ensure seamless execution of platform and capability delivery
Collaborate with partner teams to manage interdependencies, resolve blockers, and align delivery plans
Serve as a key leadership representative for ADP within planning, governance, and escalation forums
Develop and manage a workforce strategy for the ADP team aligning skills and capacity to modernization demand, platform priorities, and first launch commitments
Manage vendor relationships and external partnerships to ensure high quality delivery, efficient onboarding, and effective scaling where needed
Optimize build and run costs while maintaining delivery quality, platform resiliency, and long term value realization
Build a strong engineering culture emphasizing accountability, collaboration, learning, and continuous improvement
Strengthen the team’s ability to plan, execute, and support data platform work through clear operating rhythms, performance measures, and talent development
Stay current on industry trends in data platforms, cloud, automation, analytics, and AI, applying those learnings to improve team effectiveness and platform outcomes

Requirements

Six years of experience in application suite management, with four or more years leading multiple teams across technologies
Proven ability to empower and build an engaged, high performing team
Undergraduate studies in management information systems, engineering, math, computer science, or comparable experience and education preferred
Detailed understanding of the systems development life cycle and modern delivery methodologies, tools, and practices
Solid grounding in budgeting, forecasting, and financial analysis; ability to develop and implement roadmap strategies
Strong decision making and problem solving capabilities; track record of coaching and developing talent
Strong 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 long term platform outcomes
Up to date knowledge of technology trends in cloud, data, analytics, and emerging AI capabilities

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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

Based in New York, NY on site, Meta's Data Engineer, Product Analytics designs scalable data solutions, guides data architecture, and delivers data driven insights to shape product development across Meta apps.

Responsibilities

Own and design data architecture across several large scale initiatives, weighing design options against cost and operational trade offs.
Develop and contribute to data logging frameworks to improve data capture, and triage issues with data infrastructure to resolve them.
Partner with engineers, product managers, and data scientists to identify data needs and present key insights in clear, actionable formats.
Establish and manage service level agreements for data sets within assigned domains.
Define and implement security models aligned with privacy requirements, ensure safeguards are followed, address data quality issues, and evolve governance processes in owned areas.
Design, build, and deploy advanced data models and visualizations that support multiple use cases across products and domains.
Address complex data integration challenges using effective ETL patterns, frameworks, and query techniques across structured and unstructured sources.
Support ownership of production processes and optimize complex code using advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to streamline the development of data artifacts.
Influence product and cross functional teams to identify data opportunities that drive measurable impact.
Provide mentorship through actionable feedback to team members.

Requirements

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

Technologies

SQL
Python
C++
C#
Scala

Preferred Qualifications

Master's or PhD degree in a STEM field.
Experience integrating AI tools to optimize workflows and drive measurable impact.
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality reviews.
Active development of AI skills, such as prompt engineering and agent orchestration, and staying current 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 is seeking a Data Engineer in Product Analytics at the university graduate level, onsite in Bellevue, WA. The role focuses on building scalable data solutions, models, and visualizations to answer product questions and drive growth across Meta’s apps. You will collaborate with software engineers, data scientists, and product managers to translate data into actionable insights. The annual compensation for this position ranges from USD 99,008 to 139,000.

Responsibilities

Plan and implement data warehouse strategies for a product area or a group of products to address clearly defined problems
Determine data requirements for business problems and establish the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues
Work with engineers, product managers, and data scientists to understand data needs and present key insights in accessible formats
Develop domain data expertise and enforce data controls to maintain privacy, security, compliance, data quality, and operability for assigned areas
Create and deploy new data models and visualizations in production using standard development toolkits
Independently design and launch new data extraction, transformation, and loading processes in production, mentoring others on efficient querying
Maintain and optimize existing production processes with limited supervision
Define and monitor Service Level Agreements for datasets within ownership

Requirements

Proficiency in SQL
Programming ability in Python
Knowledge of database systems
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Technologies

SQL
Python

Benefits

Bonus
Equity
Benefits

Preferred Qualifications

Curious, self-driven, analytical, and excited to work with data
Experience thriving in a fast-paced work environment
Proven ability to collaborate with individuals and organizations across teams
Demonstrated capacity to integrate AI tools to optimize workflows and drive measurable impact such as efficiency gains and quality improvements
Experience implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality and accuracy reviews
Ongoing AI skill development, including prompt engineering and agent orchestration, with a commitment to staying current on 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

2mo ago

Shopify Developer, eCommerce & Digital Growth

Vorwerk LLC Dallas, TX

Dallas, TX

2mo ago Closed

Up to $120k/yr Full time Backend Developer Marketing A/B Testing

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