Marketplace Analyst Job at Atlassian (San Francisco)

Marketplace Analyst

Use quantitative and analytical methods to optimize online sales, customer exper...

Location

United States , Nelsonville

Salary:

Not provided

Rocky Brands

Expiration Date

Until further notice

Requirements

Bachelor’s degree (B.A.) from four-year College or university, preferably in Business, Economic, or Marketing or three (3) to five (5) years of relevant experience or a combination of education and experience
Familiarity with e-Commerce platforms such as Amazon Seller Central, Walmart Seller Central, Rithum, Google Analytics
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, and procedure manuals
Ability to effectively present information and respond to questions from groups of customers or associates of the organization
Ability to work with mathematical concepts such as probability and statistical inference
Ability to apply concepts such as percentages
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists
Ability to interpret variety of instructions furnished in written, oral, diagram or schedule forms
Advanced experience with Microsoft Office including Word, Excel and Outlook

Job Responsibility

Data Analysis: Collecting, analyzing, and reporting on sales, customer behavior, website traffic, and campaign performance using analytics tools
Performance Optimization: Improving product placement, user experience (UX), and conversion rates on marketplaces (like Amazon, Walmart)
Trend Identification: Researching market trends, customer needs, and competitor activities to find growth opportunities
Strategy Development: Creating data-driven recommendations for marketing, merchandising, and product development
Reporting & Collaboration: Presenting findings to stakeholders and working with developers, marketers, and product teams

Fulltime

Product Data Scientist

About the Role: At Tripadvisor Experiences, the only thing we love more than tra...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
for example, using tree-based or regression modeling to identify signals of high LTV
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail

Fulltime

Product Data Scientist

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail
Be a champion of unbiased, rigorous analysis — including when the data doesn't support a stakeholder's hypothesis

Staff Applied Machine Learning Engineer - Fraud & Abuse

As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will ...

Location

United States , Bay Area

Salary:

276800.00 - 415200.00 USD / Year

Cash App

Expiration Date

Until further notice

Requirements

12+ years building and operating production software and ML systems for business-critical products
Deep expertise in fraud/risk domains such as payment fraud, identity/account integrity, merchant or marketplace risk, scams, trust & safety, abuse prevention, or compliance decisioning
Strong production ML judgment across feature pipelines, model serving, evaluation, monitoring, low-latency integration, safe rollout, and incident response
Sound judgment around false-positive tradeoffs, noisy labels, adversarial behavior, customer harm, and cross-functional decisions
Experience using AI-assisted engineering tools with appropriate verification, testing, and review for high-stakes systems

Job Responsibility

Build and operate real-time and batch ML decisioning systems for payment fraud, scams, identity and account integrity, merchant and marketplace risk, and abuse prevention
Integrate behavioral, graph, device, network, event-stream, and third-party signals into low-latency model serving, decision APIs, and product controls
Own the production lifecycle for risk decisions, including data contracts, feature quality, online/offline consistency, monitoring, drift detection, safe rollout, rollback, and incident response
Develop feedback loops and verified AI-assisted workflows for triage, investigation support, alert clustering, graph exploration, simulation, and post-incident learning
Partner with modelers, analysts, product, compliance, and operations to balance fraud losses, customer access, false positives, product velocity, support burden, and long-term trust
Create reusable decision and evaluation capabilities that product services, internal tools, and AI-assisted workflows can safely consume

What we offer

Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Other benefits at Block

Fulltime

Senior Analyst, Advanced Analytics

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

France , Paris

Salary:

64000.00 - 75000.00 EUR / Year

Airbnb

Expiration Date

Until further notice

Requirements

4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
Expert SQL
proficiency in Python or R
Hands-on experience with A/B testing, causal inference, and incrementality measurement
Experience building self-service data products used by non-technical stakeholders
Familiarity with international / multi-market analytics contexts
Strong data storytelling — able to communicate findings clearly to business and senior audiences
Collaborative, low-ego, and execution-oriented
you measure success by the decisions your work influences
Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)

Job Responsibility

Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals
Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights
Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions
Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals
Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps
Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement

What we offer

Bonus
Equity
Employee Travel Credits

Fulltime

Employee Communications Senior Analyst

The Internal Communications Senior Analyst supports the development and executio...

Location

Saudi Arabia , Riyadh

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor's degree, Faculty of Mass Communication is a plus
6-7 years of experience
Experience in Public Relation
Exposure in Events Management
Strategic thinking & change management
High quality execution of communication plans
Writing skills in both English and Arabic
Communication skills and ability to create power points/design layouts
Excellent communicator able to interact with variety of stakeholders
Teamwork spirit

Job Responsibility

Supports the execution of internal communication plans and campaigns aligned with business priorities and employee engagement goals
Drafts and coordinates internal communication materials including announcements, leadership messages, newsletters, intranet content, FAQs, employee stories, and event communications
Supports communication activities related to business updates, employee engagement initiatives, leadership visits, and organizational changes
Assists in the planning and execution of quarterly town halls, leadership sessions, employee events, and recognition activities, including agenda coordination, presentation support, employee engagement elements, and onsite logistics
Supports the cascade of regional and global communication initiatives through local communication channels
Helps manage and update internal communication channels and tools including emailers, digital screens, intranet platforms, SMS communications, and collaboration tools
Maintains communication calendars and supports content planning, approvals, and stakeholder alignment
Supports crisis and urgent communication coordination to ensure timely employee updates aligned with leadership guidance
Monitors communication effectiveness through surveys, engagement feedback, and analytics reporting
Partners closely with Corporate Communications, PR, Digital, HR, and other cross-functional teams to help ensure aligned and integrated communications across the business

Fulltime

Customer Service Analyst, Senior

Provides support for business decisions impacting budget, Service Level, technic...

Location

United States , Sacramento

Salary:

90000.00 - 136000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

High School Diploma
Equivalent experience or relevant technical trade school/training
BA or BS degree or related discipline or equivalent experience or technical training
LEAN and/or Six Sigma Certification or PM certified
Strong Utility industry understanding
Ability to solve complex problems involving arithmetic as needed to perform at job level
Competency in applying knowledge of business and the marketplace to advance the organization goals
Ability to manage multiple key analyses, process improvement efforts and/or projects, while supporting the local team's day to day operational needs
Advanced in an analyze and recommend approach for findings and associated cost/efficiency gains imbedded in recommendations
Manage and prioritize workload including day to day onsite functions, ad hoc requests, and individual analyses/projects

Job Responsibility

Responsible for forecasting daily and half-hourly staffing requirements to ensure the right number of associates (800-1,000 employees), with autonomy to make critical business decisions that impact KPI's
Troubleshoots technical applications that apply to scheduling, skilling management, content delivery, and web-based entry forms
24/7 On-Call commitment for Operational Support
Manages tech-down events from start to finish locally, partnering with call routing, network, and IT partners to resolve any range of contact center issues
Plan and schedule for absenteeism, meetings, training requirements, offline time, and coaching sessions that align with budget and customer requirements
Manages and resolves scheduling issues and skill profiles ensuring that agents take appropriate calls, and system stability, to include what-if scenario-based analysis to optimize contact center solutions
Executes audits and trend analyses on Contact Center efficiency or budget concerns including attendance, exceptions, average handle time, repeat calls, over-time, under-time, agent call profiling, and service level
Provides updates to business partners about changes in focus and trends with adequate understanding to field questions
Leads the scheduling effort of pre-planned training for all agents, for both ongoing and specialized focus groups
Supports and acts as Lead during all major weather, wildfire, Public Shut Off Events as it relates to staff planning and decision making for voluntary, mandatory, and emergency overtime

What we offer

Eligible to participate in PG&E's discretionary incentive compensation programs

Fulltime

Senior Advanced Analyst - Digital & AI Products

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

India , Bangalore

Salary:

1960000.00 - 2800000.00 INR / Year

Airbnb

Expiration Date

Until further notice

Requirements

6+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
Strong expertise in Python, SQL, A/B testing platforms and best practices
Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy)
Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience designing and building metrics, from conception to building prototypes with data pipelines

Job Responsibility

Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions
Drive day to day product analytics and build scalable analytical solutions
Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience
Owning the product analytics roadmap, prioritization & delivery of solutions in the Contact Center Product space
Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines
Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows
Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimizations
Translate insights into strategic recommendations for senior leaders
shape product priorities through data

Fulltime

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