Product Analytics

Product Analytics Data Jobs

14 jobs found

9d ago

Data Engineer, Product Analytics

Meta Remote 🌍 Remote

Remote

9d ago

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

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Job Description

Meta offers a remote Data Engineer role focused on product analytics with a compensation range of USD 147,000 to 208,000 per year. You will collaborate with engineers, data scientists, and product managers to design scalable data architectures and visualizations that inform decisions across billions of users, supporting growth, strategy, and user experience.

Benefits

Bonus
Equity
Benefits

Responsibilities

Lead and own the data architecture for multiple large scale projects, weighing design choices against cost-benefit tradeoffs.
Develop and contribute to frameworks that improve logging data, 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 formats.
Define and manage service level agreements for datasets within your ownership.
Establish security models aligned with privacy requirements, ensure safeguards are followed, address data quality issues, and evolve governance within your scope.
Design, build, and deploy sophisticated data models and visualizations to support multiple use cases across products or domains.
Tackle complex data integration challenges using effective ETL patterns, frameworks, and query techniques from structured and unstructured sources.
Support ownership of existing production processes and optimize code with advanced algorithmic concepts.
Improve pipelines, dashboards, frameworks, and systems to streamline the development of data artifacts.
Influence product and cross-functional teams to uncover data opportunities that drive impact.
Mentor colleagues through actionable feedback and collaborative guidance.

Requirements

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

Technologies

SQL
Python
C++
C#
Scala
ETL

Preferred Qualifications

Master's or PhD 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 checks
Demonstrated ongoing AI skill development and familiarity with emerging AI technologies

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9d ago

Data Engineer, Product Analytics

Meta Burlingame, CA

Burlingame, CA

9d ago

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

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Job Description

The Data Engineer, Product Analytics is responsible for building scalable data artifacts, models, and visualizations that underpin product analytics across Meta apps. The role collaborates with software engineering, data science, and product management teams to optimize growth, strategy, and user experience.

Location

Burlingame, CA (onsite)

Compensation

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

Responsibilities

Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
Identify the data needed for a business problem and implement logging required to ensure availability of 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
Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated 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 where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
Bachelor's degree in Computer Science, Computer Engineering, 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 or others)

Technologies

SQL
ETL
Python
C++
C#
Scala

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9d ago

Data Engineer, Product Analytics

Meta New York, NY

New York, NY

9d ago

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

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Job Description

Location: New York, NY on-site. Compensation: USD 147,000 - 208,000 per year. This role invites you to collaborate with software engineers, data scientists, and product managers to shape growth, strategy, and user experiences for Meta’s apps. You will design scalable data solutions, guide data architecture, and deliver insights that inform product development for billions of users and businesses worldwide.

Responsibilities

Own and design the data architecture for multiple large-scale initiatives, weighing design choices against cost and operational tradeoffs
Develop and contribute to frameworks that improve logging data, collaborating with data infrastructure to triage and resolve issues
Partner with engineers, product managers, and data scientists to identify data needs and represent key insights in meaningful ways
Define and oversee service level agreements for data sets within your areas of ownership
Establish and implement privacy-based security models, ensure safeguards are followed, address data quality concerns, and evolve governance processes
Design and deploy advanced data models and visualizations to support multiple use cases across different products and domains
Tackle complex data integration challenges using effective ETL patterns, frameworks, and query techniques across structured and unstructured sources
Support production processes and optimize code using advanced algorithmic approaches
Improve pipelines, dashboards, and frameworks to streamline the development of data artifacts
Influence product and cross-functional teams to uncover data opportunities that drive impact
Mentor teammates through actionable feedback and collaborative growth

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience
4+ years of data-focused experience in roles 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 (for example Python, C++, C#, Scala)

Technologies

SQL
Python
C++
C#
Scala

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 with risk assessment and bias mitigation
Continual AI skill development and staying current with emerging AI technologies

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11d ago

Data Engineer, Product Analytics (University Grad)

Meta Bellevue, WA

Bellevue, WA

11d ago

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

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Job Description

Meta is seeking a University Graduate Data Engineer for Product Analytics to build scalable data solutions, models, and visualizations that answer product questions and support growth across Meta's apps. The role is onsite in Bellevue, WA, with an annual salary range of USD 99,008 to 139,000.

Responsibilities

Plan and execute data warehouse initiatives for a product or product group to address clearly defined problems.
Determine data requirements for business problems and implement necessary logging to ensure data availability, collaborating with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to understand data needs and present key insights in a meaningful way.
Develop domain data expertise and apply data governance controls to maintain privacy, security, compliance, data quality, and operational readiness for assigned ownership.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently create and deploy new extraction, transformation, and loading processes in production and mentor others in writing efficient queries.
Maintain and optimize existing production processes with minimal supervision.
Define and manage service level agreements for datasets within owned areas.

Requirements

Knowledge of SQL
Programming knowledge 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 eager to work with data
Proven ability to thrive in a fast paced work environment
Experience collaborating with individuals and teams across organizations
Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains and quality improvements
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews
Ongoing AI skill development, including prompt engineering and agent orchestration, and staying current with emerging AI technologies

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13d ago

Data Engineer, Product Analytics

Meta San Francisco, CA

San Francisco, CA

13d ago

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

Apply Now

Job Description

Onsite in San Francisco, CA at Meta, this role offers a salary range of USD 147,000 - 208,000 per year, plus eligible bonuses and equity. You will design scalable data architectures across multiple products, collaborating with software engineers, data scientists, and product managers to optimize growth, user experience, and business decisions. The role centers on data architecture, governance, and analytics to inform product development and strategy.

Benefits

Bonus
Equity

Responsibilities

Own the data architecture for multiple large scale projects, evaluating design options and cost-benefit tradeoffs across systems
Create and improve data logging frameworks; partner with data infrastructure to triage and resolve issues
Collaborate with engineers, product managers, and data scientists to understand data needs and present key insights clearly
Define and manage service level agreements for all data sets in assigned ownership areas
Determine and implement security models based on privacy requirements, ensure safeguards, address data quality, and evolve governance processes
Design, build, and deploy sophisticated data models and visualizations that support multiple use cases across products or domains
Address challenging data integration problems using optimal ETL patterns, frameworks, and query techniques across structured and unstructured sources
Assist in owning production processes, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to simplify the development of data artifacts
Influence product and cross-functional teams to identify data opportunities that drive impact
Mentor team members through actionable feedback

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience
4+ years of experience working with data in roles 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)

Technologies

SQL
Python
C++
C#
Scala
ETL

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.

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14d ago

Principal. Product Manager - Tech, Measurement Ad Tech Data Science

Amazon.com Services LLC New York, NY

New York, NY

14d ago

$198k - $268k/yr Full time Manager Ad Tech Analytics

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Job Description

Amazon.com Services LLC is seeking a Principal Product Manager – Technical to guide the development of Audio and Video measurement solutions for Amazon Ads. The role is based onsite in New York, NY, with a salary range of USD 197,900 to 267,800 per year and requires a Bachelor's degree along with substantial technical product management experience. The position centers on delivering data-driven reporting that helps advertisers measure, analyze, and optimize campaigns across third-party and first-party measurement frameworks.

Responsibilities

Define the strategy, roadmap, and delivery of technical solutions designed to help advertisers evaluate their campaign performance across both third-party and first-party measurement frameworks.
Help advertisers understand the effectiveness of their campaigns, identify optimization opportunities, and drive tangible business outcomes.
Work backwards from the customer to identify needs.
Partner with engineering to build scalable event-driven architectures to process billions of impressions and conversions daily.
Drive adoption through close collaboration with internal and external stakeholders.
Work closely with third-party measurement vendors and internal first-party measurement systems to report and optimize on key metrics for Audio and Video advertising.
Collaborate across multiple engineering, data science, and design teams to build robust, data-driven reporting products.

Requirements

2+ years of end-to-end product delivery experience
8+ years of technical product or program management experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience in technical product management

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance (and option for Supplemental life plans)
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Description

We are seeking an experienced, customer-focused Principal Product Manager – Technical to lead the development of innovative solutions in third-party and first-party Audio and Video measurement. This role will play a key part in helping advertisers measure, analyze, and optimize their advertising campaigns across Amazon Ads. By delivering performance reporting and actionable insights, our team empowers global advertisers to connect their media investments with customer outcomes. If you're passion

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17d ago

Product Manager/Product Owner, Data Science Storm Insights

E Source Remote 🇺🇸 Remote

Remote

17d ago

$140k - $185k/yr Full time Analytics Customer Experience Data Analytics

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Job Description

Role context: The Product Manager/Product Owner for Data Science Storm Insights at E Source defines the product vision, builds the roadmap, and manages the backlog, translating client needs into tangible product opportunities while coordinating with engineers, data scientists, and designers in a remote environment.

Responsibilities

Establish the product vision for Storm Insights, including goals and success metrics
Create and sustain the product roadmap and release timeline
Perform market and competitive analysis to inform strategic direction
Convert feedback from the Client Success team into actionable product opportunities
Ensure alignment of product plans with overall company strategy and portfolio priorities
Own and maintain the Storm Insights backlog
Translate roadmap priorities and client use cases into epics, features, and user stories with clear acceptance criteria
Collaborate with engineers, data scientists, and designers to plan and deliver each release
Lead agile ceremonies such as backlog refinement, sprint planning, reviews, and retrospectives
Validate delivered functionality and coordinate user acceptance testing with Client Success
Monitor delivery progress, dependencies, and risks, and report findings to stakeholders

Requirements

Ability to translate complex, ambiguous data and operational requirements into clear product direction
Strong familiarity with utility operational data (outages, weather, AMI, GIS, assets, SCADA) and how it informs storm readiness and restoration workflows
Knowledge of storm operations lifecycles including forecasting, staging, crew assignment, situational awareness, and restoration
Capacity to balance strategic objectives with day-to-day delivery
Collaborative approach working with internal client-facing teams and technical groups
Clear and proactive communication with both technical and business stakeholders
Curiosity, perseverance, and a bias for action in fast-paced, high-stakes environments
Four or more years of experience in software product management, product ownership, or business analysis
Proven track record delivering data-driven SaaS or analytics products from idea to MVP and continuous improvement
Hands-on experience writing user stories, managing backlogs, and working in agile delivery teams
Experience working with or for electric utilities is preferred, especially in storm operations, control center operations, or grid operations
Background in a technical discipline such as data science, engineering, or software development is a plus
Excellent written, verbal, and visual communication skills

Benefits

Health coverage including medical, dental, and vision
Company-paid life insurance
Company-paid long- and short-term disability insurance
Flexible spending accounts for medical and dependent care
Paid parental leave
Flexible time off (FTO) policy
401(k) or RRSP plan with employer match

Compensation

Salary range: USD 140,000 – 185,000 per year

Location

Remote

Employment Type

Full time

Department

Grid & Operations

What You Can Expect

A comprehensive benefits package that includes medical, dental, and vision coverage, company-paid life insurance, and disability insurance, plus medical and dependent-care flexible spending plans and paid parental leave
A flexible time off policy that supports approved time away while maintaining business needs and coverage
A retirement plan with employer matching (3 percent)