Senior Manager, Advanced Analytics Job at Airbnb

Senior Manager, Advanced Analytics, FSI

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

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics, risk, or safety
5+ years leading high-performing teams
Proven ownership of large-scale data products or taxonomies in a regulated environment
Experience supporting large-scale human operations (content moderation, fraud review, support, or risk ops)
Strong SQL & data-modeling expertise
experimentation design, working knowledge of Python/R, ML pipelines
Proven ability to: Design KPI's and operational metrics
Translate ambiguous problems into structured analytical frameworks
Influence cross-functional stakeholders (Ops, Product, Policy, Finance)
Drive measurable improvements in quality, efficiency, and cost

Job Responsibility

Define and operationalize KPI frameworks for global Fraud & Safety operations (quality, accuracy, SLA, productivity, cost)
Build dashboards and reporting systems to monitor enforcement performance across regions, vendors, and workflows
Lead weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership
Design and lead experimentation (A/B testing, pilots) to improve enforcement quality, reviewer productivity, and user experience
Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
Partner with Ops and Policy to test and refine enforcement strategies (e.g., thresholds, escalation rules)
Partner with global operations and vendor teams to optimize staffing, capacity planning, and queue management
Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and quality standards
Drive forecasting models to balance cost, coverage, and service levels across high-volume workflows
Partner with Product and Engineering to translate operational insights into tooling and workflow improvements

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Manager, Advanced Analytics, Fraud & Safety Operations

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

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics, risk, or safety
3+ years leading high-performing teams
Proven ownership of large-scale data products or taxonomies in a regulated environment
Strong SQL & data-modeling expertise
experimentation design, familiarity with Python/R
working knowledge of ML pipelines
Deep understanding of: How to measure rare platform events with statistical rigor
User authentication & connected-account vectors (e.g., social logins, device fingerprinting)
Circumvention tactics (e.g., multi-accounting, listing duplication, payment abuse)
Global privacy and data-protection standards (GDPR, CCPA, SOC 2, etc.)

Job Responsibility

Own end-to-end analytical workflows for platform safety controls: data ingestion, feature engineering, modeling, experimentation, and visualization
Co-own and drive the enterprise-wide 'Safety Single Source of Truth' (SSoT) strategy
Build self-service, data tools that empower non-technical teams to ask deep questions, run 'what if' analyses, and generate actionable, data-backed outcomes
Craft compelling narratives and dashboards that surface insights to executives and cross-functional teams
Lead incident 'war rooms,' presenting fast, actionable insights during high-severity events
Contribute to policy design (e.g., connected-accounts enforcement thresholds)
Support external audits, law-enforcement requests, and board-level reporting
Partner with Policy, Product, Engineering, Fraud and Safety Ops, and Legal to align analytics with global safety and privacy regulations
Operationalize frameworks that instantly assess and size the platform, reputational, and regulatory impact of safety incidents, enabling rapid escalation, crystal-clear retrospectives, and lessons learned

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Manager, Advanced Data and Analytics

The Senior Manager, Advanced Data and Analytics plays a critical leadership role...

Location

United States , Woodland Hills

Salary:

120000.00 - 130000.00 USD / Year

Bloom Ads Global Media Group

Expiration Date

Until further notice

Requirements

5+ years of experience in data and analytics within an agency or media consulting environment
2+ years of team leadership experience, including managing managers or senior-level contributors
Bachelor’s degree required
advanced degree in Statistics, Economics, Predictive Analytics, or related field preferred
Advanced expertise in Python, R, and SQL database management
Strong experience with DTC and data-heavy clients
Proven ability to develop and oversee statistical modeling frameworks including marketing mix models, multi-touch attribution, and incrementality testing
Experience working with ad tech platforms including ad servers (DCM), DSPs (TTD, DV360), and SEM platforms
Strong business intelligence expertise (SQL, Tableau, Datorama)
Exceptional storytelling and presentation skills, with the ability to translate technical findings into strategic recommendations

Job Responsibility

Mentor and develop Supervisors and analysts, fostering accountability, collaboration, and professional growth
Oversee the development, training, and implementation of statistical models to optimize media performance and drive client business results
Lead quality control of modeling outputs, automation processes, and data integrity standards
Oversee dashboard development in visualization tools such as Tableau and Datorama
Translate complex analyses into clear, concise, and compelling narratives for clients and internal teams
Partner closely with clients, account teams, and media teams to assess business challenges and deliver data-driven solutions
Lead execution and oversight of marketing mix modeling, diminishing returns analysis, incrementality testing, and campaign measurement strategy
Manage team workload allocation, prioritization, and cross-functional collaboration
Identify opportunities for innovation and advancement within analytics frameworks and reporting capabilities
Act as a senior escalation point for analytics strategy and modeling decisions

What we offer

Comprehensive medical benefits: health, dental, vision, life, and AD&D coverage
Generous vacation policy
Holiday PTO + Work-from-Home Fridays
Company contributions to 401(k) retirement savings
Paid volunteer hours to support causes you care about
Professional development opportunities
Free snacks (mostly healthy!)
Coffee Thursdays to fuel creativity
Monthly lunch & learns to expand your expertise
Quarterly town halls with food, prizes, and company updates

Fulltime

Manager / Senior Manager, Analytics Engineering

KOHO is looking for a Manager or Senior Manager, Analytics Engineering to lead a...

Location

Canada

Salary:

170000.00 - 220000.00 CAD / Year

KOHO

Expiration Date

Until further notice

Requirements

5+ years in analytics engineering, data engineering, or similar technical data roles, including 2+ years managing technical teams
Proven people leader: Track record of hiring, developing, and retaining high-performing individual contributors
Experience scaling teams: You've built or grown technical teams and established practices that enable sustainable growth
Expert-level dbt knowledge: Deep experience with dbt Core/Cloud, complex projects, advanced materializations, macros, packages, and project architecture
Strong SQL and data modelling skills: Proficiency with dimensional modelling, event modelling, and performance optimization
Modern data stack fluency: Experience with dbt, Git, CI/CD, data warehouses (Redshift is a plus), and orchestration tools
Infrastructure mindset: Understanding of data platform architecture, scalability, and reliability patterns
Strategic thinker: Able to translate business objectives into technical roadmaps and prioritize effectively
Exceptional communicator: Adapt messaging for different audiences from C-suite to individual contributors
Stakeholder management: Navigate competing priorities, manage expectations, and build trusted partnerships across the organization

Job Responsibility

Build and develop a high-performing team: Mentor, and grow the Analytics Engineers through coaching, performance management, and career development
Foster a culture of excellence: Set standards for code quality, documentation, and collaboration while building psychological safety and autonomy
Enable team success: Build systems, prioritize work strategically, and ensure your team has the context and resources to deliver impact
Drive performance: Conduct regular 1:1s, performance reviews, and calibrations aligned with KOHO's high-performance culture
Develop a long-term talent strategy, identifying skill gaps and creating career pathways that ensure KOHO attracts and retains top-tier analytics engineering talent
Own the analytics engineering platform: Maintain and evolve the data infrastructure supporting 20+ developers across analytics engineering and broader data teams (product analysts, business analysts, and developers)
Architect for scale: Define technical strategy, standards, and best practices for data modelling, pipeline development, and data quality
Optimize performance: Monitor infrastructure health, drive query optimization, and ensure reliability across critical data pipelines
Champion technical excellence: Establish governance frameworks, code review standards, and documentation practices
Partner with domain leaders: Collaborate with Analytics, Finance, Payment Operations, Risk, Treasury, and Product teams to understand their data needs and translate them into technical roadmaps

What we offer

Competitive compensation & equity
Fantastic, Deeply Engaged Team
Generous vacation + Wellness days + Flex Days + holiday closure
Remote-first environment + coworking support + yearly all hands retreat
Access to coaching & growth programs
Parental top-up & leave policies
Comprehensive health benefits
Power-up budgets for books, home office setup, phone & internet, AI tools, and professional development

Fulltime

Banamex Modelling and Advanced Analytics Manager

The Credit Portfolio Group Manager is a senior management-level position respons...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of experience in credit risk management or equivalent training
Experience in the financial services industry preferred
Demonstrated accountability for delivery of a full range of services to one or more businesses/geographic regions
Consistently demonstrate clear and concise written and verbal communication
Proven negotiation skills often used at a senior level
Demonstrated ability to synthesize, prioritize and drive results with urgency
Ability to obtain support and buy-in across a wide range of internal and external audiences
Bachelor's degree/University degree or equivalent experience
Master's degree preferred
8 a 10 años de experiencia en: Modelado de riesgo de crédito, Analítica avanzada, Entornos regulatorios bancarios

Job Responsibility

Lead and develop a team of risk analysts and manage complex/critical/large professional disciplinary areas
Lead risk financial forecasting efforts, including designing and maintaining complex credit loss and financial risk forecasting models, conducting cost of credit analyses, and monitoring product trends to identify key areas of risk-opportunity
Develop, test, optimize and implement credit/valuation policies
Manage risk levels for the entire credit/valuation spectrum across multiple products and retail formats consistent with program financial goals
Track and report on initiatives, performance results, emerging trends and opportunities to senior management
Establish cross-functional partnerships and networks in order to support the execute cross-functional and business initiatives
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards
Liderar el desarrollo integral de modelos de riesgo de crédito (lending). Diseñar e implementar modelos rule base y modelos basados en Machine Learning

Fulltime

Senior Analytics Manager - Payments and Identity

As Senior Analytics Manager, Payments & Identity, you will be the senior analyti...

Location

United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City

Salary:

121000.00 - 228500.00 USD / Year

Scribd

Expiration Date

Until further notice

Requirements

7+ years of experience in analytics (for example product, payments, or platform analytics), ideally in a subscription or consumer environment, with a track record of leading high-impact work end to end
Deep, hands-on domain expertise in payments and identity, including authorization and settlement, retries and dunning, decline reasons, fraud and chargebacks, identity and authentication flows, and evaluating payment service providers on both performance and cost
Experience leading or managing analysts, including setting direction, reviewing complex work, and developing others
Strong technical toolkit: advanced SQL
experience with a programming language such as Python or R
and comfort working with modern data warehouses and observability tools (for example Databricks and Datadog)
Deep experience with BI tools such as Looker, including designing and maintaining performant, cost-conscious dashboards that teams can safely use for self-serve decision-making
Experience with payments and subscription analytics (for example authorization and settlement rates, bill-through, recapture, passive churn, payment service provider volume share, LTV, unit economics) and lifecycle or cohort analysis
Experience with experimentation and event instrumentation for billing, payments, or identity flows, including defining success metrics, working with experimentation platforms such as StatSig, and producing clear experiment readouts and narratives for senior audiences
Excellent communication and stakeholder management skills, with a track record of translating complex analyses into clear, concise stories and influencing senior partners across product, engineering, finance, and operations

Job Responsibility

Lead end-to-end analytics for the payments lifecycle, including authorization and settlement, retries and dunning, recapture, passive churn, and bill-through, and tie these metrics directly to subscriber, revenue, and unit economics outcomes
Develop and own the core Payments KPI framework (for example Payment Success Rate, authorization and settlement rates, payment service provider volume share, cost per transaction, cost of ownership, fraud and chargeback guardrails) and use it to guide strategy and vendor decisions
Lead analytics for Identity flows, including account creation, authentication, login and signup friction, error and lockout rates, dormant account behavior, and identity risk and safety metrics, and build the initial analytics foundation and metrics framework for the Identity squad
Build and maintain reliable dashboards and reporting that provide a holistic view of Payments & Identity health, designed with performance, cost, and self-serve use in mind, primarily using Looker and Databricks
Partner with Product, Engineering, Finance, and Operations on payments & identity strategy, routing and configuration changes, fraud controls, billing changes, and other key initiatives, quantifying tradeoffs across revenue, cost, risk, and customer experience
Drive instrumentation, observability, and data quality for Payments and Identity by defining event and data requirements, partnering with engineering on tracking and monitoring, and putting in place checks and alerts for key flows and metrics
Collaborate with Data Platform and Data Engineering on data models that make Payments and Identity data easier to query, debug, and monitor, and that support fast experimentation and operational reporting
Manage and mentor analysts (starting with a payments-focused analyst), providing coaching, feedback, and review, and helping define best practices for Payments & Identity analytics

What we offer

Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
12 weeks paid parental leave
Short-term/long-term disability plans
401k/RSP matching
Onboarding stipend for home office peripherals + accessories
Learning & Development allowance
Learning & Development programs
Quarterly stipend for Wellness, WiFi, etc.
Mental Health support & resources
Free subscription to the Scribd Inc. suite of products

Fulltime

Senior Manager Analytics

Senior Manager, Merchandising and Food Category Analytics role focused on leadin...

Location

Norway , Oslo

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline such as Data Science, Applied Mathematics, Statistics, Engineering, or similar is preferred
Higher business degrees will also be considered
7+ years of experience in data science and analytics, including 2+ years in a leadership role, ideally in a retail merchandising or category analytics context
Excellent English language skills for communication with colleagues in Europe
Excellent communication skills with stakeholders at all levels of the organization and in any geography
Proven ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Experience with analytical approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, as well as Agile development methodologies
Familiarity with data science methodologies and tools including statistics, regression, clustering, time series analysis, machine learning
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based AI/ML platforms (e.g., Azure, Snowflake, Google Cloud Platform, AWS)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices

Job Responsibility

Collaborate with business stakeholders and category teams to define business requirements, KPIs, and acceptance criteria for analytics initiatives
Act as a data-driven thought partner to Category teams, providing analytical support and challenging priorities based on insights
Develop, manage, and execute the analytics roadmap to support business objectives and drive performance across assigned merchandise categories
Serve as the data-driven partner for our operational leadership teams, category teams, and functional teams, supporting them in their priorities, but also challenging and prioritizing based on data and insights you and your team uncover
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent
Lead the design, development, and deployment of initiatives spanning reporting and advanced analytics (e.g., forecasting, clustering, A/B tests, causal impact analysis etc.) to optimize category performance, competitor analysis and scale cross-category toolkits
Oversee the end-to-end analytics workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation
Partner with Technology and Operations teams to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues

What we offer

Employee discount on fuel
Work in a collaborative, dynamic, high-performing and diverse team
Learning opportunities to develop new skills and evolve professionally in a fast-growing company.

Fulltime

Senior Staff, Advanced Analytics

Airbnb is seeking a Senior Staff for Advanced Analytics to provide critical supp...

Location

United States

Salary:

212000.00 - 265000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

A minimum of 10 years experience in advanced analytics, preferably in marketplace and/or travel industries
Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs
Deep domain expertise in one area or broad expertise in multiple domain areas
Robust business acumen, strategic thinking skills, and the ability to make informed judgments
Outstanding communication skills, capable of engaging with a variety of stakeholders and conveying complex concepts in an accessible manner
Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions
An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact
A quantitative undergraduate degree is required
an advanced degree is highly preferred.

Job Responsibility

Serve as a key analytics partner to the senior stakeholders, providing data-driven insights to guide key strategic decisions. Ensure clarity of communication and strategic alignment on analytics initiatives
Elevate craft and analytical excellence at the analytics team level on advanced data analysis, statistical modeling, experimentation, and metric frameworks
Collaborate with teams including Strategic Finance, Data Engineering, Data Science, and Product Marketing in addition to other cross-functional teams
Solve large, open ended critical business questions without known prior solutions
Proactively identify under-invested areas with opportunities and drive XFN alignment on investment
Design, execute, and analyze complex experiments (A/B tests and quasi-experiments) to measure feature impact and inform product iteration
Leverage AI-assisted tools (e.g., ChatGPT, Claude) to increase efficiency and automate repetitive analytical tasks where appropriate.

What we offer

Bonus
Equity
Benefits
Employee Travel Credits

Fulltime

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Senior Manager, Advanced Analytics

Job Description

Job Responsibility

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