The individual in this role will focus on in-depth data analysis, metric definition, benchmark creation, experimentation, and synthesis to high-level insights for prioritization.

Responsibilities:

• Conduct advanced data analysis to extract actionable insights that inform strategic decisions.
• Collaborate closely with business teams, providing data-driven insights to support strategic decisions.
• Analyze broad data to understand the impact of incentives on bookings, attach rate, revenue, profitability, occupancy, rebooking rate, churn, and other key metrics.
• Define new metrics and identify leading indicators of key business outcomes.
• Build dashboards to track key performance metrics across markets and customer segments to establish benchmarks.
• Conduct A/B tests to improve business performance and maximize incrementality.
• Collaborate with cross-functional teams, including Strategic Finance, Data and Analytical Engineering, and Data Science, to align strategies and leverage synergies.

Your Expertise:

• 10+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Prior experience in advanced analytics or business data science within a marketplace or business strategy setting.
• Strong expertise in at least one programming language (Python or R) and SQL.
• Experience with AI-assisted analytics (Claude, ChatGPT, etc).
• Deep understanding of econometric and statistical analysis, and experience in applying these skills to derive insights from broad data sets.
• Exceptional business acumen, strategic thinking skills, and the ability to make informed judgments.
• Excellent communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner.
• Proven stakeholder management skills, with the ability to collaborate and influence across functions.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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You will define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. This includes designing, building, and maintaining curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.

You will partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets. You will execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.

You will also build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

Responsibilities:

• Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.

• Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.

• Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.

• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

Requirements:

• 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets.

• 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources to power a variety of use cases, including experimentation.

• 2+ years of experience writing accurate and effective SQL.

• Fluency in Python or another programming language.

• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar).

• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous questions into concrete metric definitions and data models.

• Excellent communication, comfortable being the connective tissue between technical and business teams.

Bonus Points:

• Passion for Discord or online communities.

• Experience building or contributing to a semantic layer or metrics store.

• Experience with modern analytics and data engineering tools (dbt, BigQuery etc).

• Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows).

• Experience working on SEO, GEO, or other top of funnel growth focused features.

• Experience collaborating with compliance, legal, or litigation cross-functional teams.

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits.

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This role goes beyond delivering within existing patterns. You'll improve foundational modeling decisions, reducing rework, and establishing standards that scale.

Responsibilities

• Design and build core analytical data models in BigQuery using dbt
• Refactor and restructure existing models to improve clarity, consistency, and ease of use
• Partner directly with solution teams to translate business needs into well-defined, reusable data models
• Define and enforce modeling standards, conventions, and layer contracts
• Standardize identifiers and business logic early in the transformation layer to reduce downstream complexity
• Centralize shared business rules and definitions to enable consistent, trusted analytics
• Explore and apply AI-assisted approaches, to improve analytics workflows

Requirements

• Strong expertise in Python and SQL and analytics data modeling
• 5+ years of experience in analytics engineering, data engineering, or a related role
• Hands-on experience designing analytics layers in BigQuery and dbt
• Proven ability to create analyst-friendly data models with clear structure and predictable behavior
• Experience setting standards and influencing how data is modeled and consumed across teams
• Strong analytical thinking and problem-solving skills
• Clear written and verbal communication skills

Bonus Points

• Experience working in a distributed or remote-first environment
• Familiarity with metric definitions, or semantic layers
• Experience applying AI or automation to analytics or data modeling workflows

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.

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As a Data Science Manager at Reddit, you will collaborate closely with cross-functional partners to help us build and improve the systems that continuously drive our user growth. You will be responsible for driving the adoption of strategic and tactical recommendations based on deep experience with Reddit products and data skills.

Key responsibilities include:

• Serving as a thought-partner for product managers, engineering managers, and leadership to communicate and shape the roadmap and strategy for Reddit.
• Being proactively involved in all phases of product development, including ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation, and decision-making.
• Having a keen interest in the collection and quality of underlying data, including experiment design and analysis, data deep dive, ETLs, reporting dashboards, and data aggregations needed for business tracking and/or ML model development.

Requirements include:

• An advanced degree in a quantitative field such as statistics, mathematics, physics, economics, or operations research.
• 10+ years of industry experience for masters holders, or 6+ years for PhD holders.
• Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces.
• Leadership experience as a people manager, leading a team of 5+ data scientists.
• Expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy.
• Proficiency in SQL and Python/R for hands-on analysis.

Benefits include comprehensive healthcare benefits, income replacement programs, 401k with employer match, global benefit programs, family planning support, gender-affirming care, mental health and coaching benefits, flexible vacation and paid volunteer time off, and generous paid parental leave.

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As a Senior Technical Program Manager in the GeminiApp team, you will drive our organisation-wide and cross-product area initiatives that change the trajectory of our business and product.

Key Responsibilities

• Translate ambiguous, open-ended business priorities into structured and executable programs.
• Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
• Mechanize critical parts of the business to generate predictable outputs.
• Spearhead critical programs, driving progress from conception to delivery.
• Forge close partnerships with PM and Engineering leads to define product strategy and ensure precise execution.
• Navigate and resolve complex dependencies across diverse workstreams, functions, and organisations.
• Deliver clear, consistent updates on progress, risks, and plans to senior leadership.
• Excel at managing multiple, time-sensitive projects concurrently.
• Guide cross-functional teams in identifying, prioritising, and tracking tasks to meet key deadlines.

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 10+ years of experience in technical program management or engineering management.
• Track record of disambiguating and delivering repeatable business value.
• Track record of fast-paced, high-volume, and cutting-edge consumer software.
• Proven track record of collaborating with and influencing stakeholders across various functions and sites, especially in situations with little authority and considerable ambiguity.
• Exceptional communication, writing, and presentation skills.

Preferred Qualifications

• Experience working delivering products that leverage large language models as part of primary experience.
• Experience in hardware and software development life-cycles, metric definition and executive presentation, and technical program management.
• Extensive experience in capacity and resource planning.
• Experience in implementing process improvement methodologies to drive efficiency and scale across multiple teams.
• Experience with motivating teams and individuals to change as the business environment changes.
• Ability to lead and inspire geographically dispersed teams, build strong relationships, and collaborate with stakeholders at all levels.
• Excellent strategic thinking and planning skills, with the ability to translate business objectives into initiatives and execute on them.

Salary

The US base salary range for this full-time position is between $227,000 USD - 320,000 USD + bonus + equity + benefits.

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At Electronic Arts, we're driving the strategy and implementation of important initiatives for EA's players to connect them to one another and to the games they love to play. These initiatives include the EA app and Franchise-specific webstores.

As a Product Manager for Player Relationship Management, you will be the strategic architect of the player lifecycle. You will build systems that foster deep, long-term relationships with our global community. Your mission is to turn every player interaction into a meaningful, personalized experience that drives loyalty and growth.

Responsibilities

• Lifecycle Strategy: Own the end-to-end player lifecycle strategy, focusing on deeper engagement, retention, and monetization.
• CRM & Automation: Define the roadmap for player-facing CRM tools, automated messaging, and bespoke experiences (e.g. VIP) for our most engaged community.
• Data-Driven Personalization: Sophisticated player segmentation targeting and personalized game content.
• Cross-Functional Collaboration: Collaborate with Marketing and Game Studios to ensure events and communication plans are aligned with key in-game and regional moments.
• Experimentation: Design and execute A/B tests on engagement features, reward structures, and notification strategies to optimize player lifetime value (LTV).

Qualifications

• Experience: 3-5 years of Product Management experience, ideally within gaming.
• Domain Expertise: Understanding of consumer/user lifecycle, and/or CRM systems.
• Analytical Rigor: Metric definitions, analytical tooling and interpretation of complex behavioral data and trends.
• Communication: Ability to translate complex technical or data insights into actionable strategies for both creative and technical teams.

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