CrawlJobs Logo

Identity and Data Signals Analyst

uber.com Logo

Uber

Location Icon

Location:
Brazil , Sao Paulo

Category Icon
Category:
-

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Uber Advertising is building the most marketplace-centric ad platform in the world, and as an Identity and Data Signals Analyst for LatAm, you are at the heart of making our data meaningful. This isn’t about just pulling reports; it’s about navigating the complex, often messy world of 1st party data, PII integrations, and evolving privacy laws to build something that actually works for advertisers and users. Working at Uber means solving hard problems in a high-stakes, fast-moving environment. You’ll need to take ownership of the LatAm audience taxonomy, stay adaptable as privacy regulations shift, and build with both urgency and care. The pace is fast, and the answers aren’t always in a playbook. If you are energized by technical ambiguity and motivated by seeing your data strategies drive real-world revenue, this is where you’ll grow.

Job Responsibility:

  • Build and Scale Solutions: Collaborate with measurement science, product, and engineering to build scalable 1st party audience activation and data integrations specifically tailored for the LatAm market
  • Navigate Technical Ambiguity: Solve messy, high-impact problems regarding audience segmentation and identity—often without a clear starting point as you bridge the gap between raw data and ad-tech utility
  • Drive Data Monetization: Partner with sales teams to translate complex advertising objectives into technical data solutions, ensuring our data signals are both actionable and profitable
  • Own Privacy and Governance: Act as a gatekeeper for Uber’s data privacy policies, ensuring every audience launch and PII-based integration meets strict legal requirements while maintaining technical documentation
  • Measure and Optimize: Track audience adoption and performance metrics, moving past the numbers to provide high-quality, actionable recommendations that unblock sales and improve campaign ROI
  • Influence Without Authority: Navigate tension and align stakeholders across sales, legal, and product teams to ensure our data architecture supports long-term growth even when priorities shift

Requirements:

  • 3+ years of experience in Advertising Technology (AdTech) or Marketing Technology (MarTech)
  • Proficiency with SQL to handle large-scale datasets and extract meaningful audience insights
  • Experience in audience segmentation and identity management within the advertising ecosystem
  • Track record of cross-functional collaboration, moving technical projects to completion across non-technical teams

Nice to have:

  • 5+ years of experience in AdTech/MarTech, with a focus on product management or technical audience strategy
  • Technical expertise in Identity & Data Tools: Familiarity with Identity graphs (LiveRamp, Experian), Data Cleanrooms (AWS, Snowflake), or CDPs (mParticle, Segment)
  • Advanced Analytical Skills: Expert SQL and experience working with AI/ML teams on predictive modeling and optimization
  • Market Knowledge: Deep understanding of the LatAm advertising landscape and DSP buy-side platforms

Additional Information:

Job Posted:
February 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Uber - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Identity and Data Signals Analyst

Product Data Analyst

We're seeking our first Product Data Analyst to establish data-driven product in...
Location
Location
Spain , Madrid Remote, Barcelona Remote, Spain Remote
Salary
Salary:
Not provided
maisa.ai Logo
Maisa
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of product analytics experience, preferably with AI/ML products or enterprise software
  • Strong experience with AI product metrics (model performance, user-AI interaction patterns, automated workflow success)
  • Proficiency in SQL and experience with both relational and NoSQL databases (MongoDB, PostgreSQL)
  • Experience with data visualization tools (Tableau, Looker, Grafana, or similar)
  • Strong programming skills in Python or R for data analysis and automation
  • Experience analyzing complex user journeys and enterprise software adoption patterns
  • Understanding of statistical analysis, A/B testing, and experimental design
  • Experience working with event-driven architectures and real-time data streams
Job Responsibility
Job Responsibility
  • Design and implement comprehensive product analytics framework for Maisa Studio
  • Establish key product metrics, KPIs, and success measurements for AI Digital Workers
  • Build data pipelines and dashboards to track user behavior, worker performance, and platform adoption
  • Create the foundational data infrastructure to support product, engineering, and business decisions
  • Define data governance and quality standards for product analytics
  • Analyze Digital Worker creation, configuration, and deployment patterns
  • Track AI reasoning quality, execution success rates, and error patterns across the KPU system
  • Measure user adoption of different AI tools, integrations, and workflow configurations
  • Analyze the effectiveness of our "Chain of Work" traceability and explainability features
  • Monitor AI model performance, token usage, and computational efficiency across workers
What we offer
What we offer
  • Opportunity to shape the future of accountable enterprise AI agents
  • Competitive compensation package
  • Flat organization focused on impact rather than hierarchy
  • Work with cutting-edge computational AI technology
  • Dynamic, experienced team of technical experts
  • Continuous learning in the rapidly evolving field of Agentic AI
  • Fulltime
Read More
Arrow Right

Product Data Analyst

We're seeking our first Product Data Analyst to establish data-driven product in...
Location
Location
Salary
Salary:
Not provided
maisa.ai Logo
Maisa
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of product analytics experience, preferably with AI/ML products or enterprise software
  • Strong experience with AI product metrics (model performance, user-AI interaction patterns, automated workflow success)
  • Proficiency in SQL and experience with both relational and NoSQL databases (MongoDB, PostgreSQL)
  • Experience with data visualization tools (Tableau, Looker, Grafana, or similar)
  • Strong programming skills in Python or R for data analysis and automation
  • Experience analyzing complex user journeys and enterprise software adoption patterns
  • Understanding of statistical analysis, A/B testing, and experimental design
  • Experience working with event-driven architectures and real-time data streams
Job Responsibility
Job Responsibility
  • Design and implement comprehensive product analytics framework for Maisa Studio
  • Establish key product metrics, KPIs, and success measurements for AI Digital Workers
  • Build data pipelines and dashboards to track user behavior, worker performance, and platform adoption
  • Create the foundational data infrastructure to support product, engineering, and business decisions
  • Define data governance and quality standards for product analytics
  • Analyze Digital Worker creation, configuration, and deployment patterns
  • Track AI reasoning quality, execution success rates, and error patterns across the KPU system
  • Measure user adoption of different AI tools, integrations, and workflow configurations
  • Analyze the effectiveness of our "Chain of Work" traceability and explainability features
  • Monitor AI model performance, token usage, and computational efficiency across workers
What we offer
What we offer
  • Opportunity to shape the future of accountable enterprise AI agents
  • Competitive compensation package
  • Flat organization focused on impact rather than hierarchy
  • Work with cutting-edge computational AI technology
  • Dynamic, experienced team of technical experts
  • Continuous learning in the rapidly evolving field of Agentic AI
  • Fulltime
Read More
Arrow Right

Fraud & AML Data Analyst

Shape the future of trust in the age of AI. At Oscilar, we're building the most ...
Location
Location
Salary
Salary:
Not provided
oscilar.com Logo
Oscilar
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience as a data analyst, data scientist or a related field, with a focus on fraud prevention and/or anti-money laundering
  • Proficiency in Python and SQL
  • Knowledge of machine learning algorithms and statistical techniques, with a focus on their application in fraud detection
  • Experience working with large datasets and handling data-related challenges such as data cleaning, data quality, and data transformation and feature engineering at scale
  • Excellent analytical and problem-solving skills, with the ability to derive actionable insights from complex data
  • Strong communication skills, with the ability to explain complex concepts and findings to both technical and non-technical audiences
  • Ability to work independently and collaboratively in a fast-paced, dynamic startup environment
Job Responsibility
Job Responsibility
  • Analyze large-scale transaction, account, and behavioral datasets to identify fraud, AML, and abuse patterns across: Onboarding (synthetic identity, fake accounts, mule risk), Account activity (ATO, session hijacking, social engineering), Payments (card-not-present fraud, ACH/wire fraud, crypto typologies)
  • Develop risk segmentation, cohorts, and KPIs (fraud rate, approval rate, loss rate, false positives)
  • Evaluate rule-based and ML-driven decision strategies and quantify performance trade-offs
  • Partner with customers to: Diagnose their fraud and AML pain points, Interpret model outputs, alerts, and decision logic, Design and refine risk strategies using our platform
  • Produce customer-facing analytics, dashboards, and readouts that translate data into actionable risk decisions
  • Act as a trusted analytics advisor for customers implementing or scaling fraud programs
  • Work closely with Product and Engineering to: Define data requirements and success metrics for new features, Provide feedback on model explainability, rule tooling, and case workflows, Identify gaps in data, signals, or product capabilities based on real customer usage
  • Support experimentation (A/B tests, challenger strategies, rule tuning)
  • Contribute to internal and external documentation, including: Fraud and AML best practices, Lifecycle risk frameworks, Playbooks for onboarding, ATO, and payment fraud
  • Help shape standardized analytics and reporting frameworks across customers
What we offer
What we offer
  • Competitive salary and equity packages, including a 401k
  • Remote-first culture — work from anywhere
  • 100% Employer covered health, dental, and vision insurance with a top tier plan for you and your dependents (US)
  • Unlimited PTO policy
  • AI First company
  • both Co-Founders are engineers at heart
  • and over 50% of the company is Engineering and Product
  • Family-Friendly environment
  • Regular team events and offsites
  • Unparalleled learning and professional development opportunities
  • Fulltime
Read More
Arrow Right

Fraud Strategy Manager

Navan is expanding its Fraud Risk Management organization to build world-class f...
Location
Location
United States , Dallas
Salary
Salary:
Not provided
navan.com Logo
Navan
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7–10+ years of experience in fraud strategy, fraud analytics, or financial crime risk management
  • Strong experience designing and managing fraud rules, policies, and decision strategies in production environments
  • Deep understanding of how machine learning models and features are used to inform fraud decisions
  • Proficiency in SQL and strong working knowledge of Python for analysis and strategy validation
  • Experience working with large-scale data platforms such as Snowflake, Databricks, Spark, or similar
  • Solid understanding of card payments, transaction flows, identity verification, and fraud typologies (ATO, synthetic identity, first-party fraud, third-party fraud, scams)
  • Demonstrated ability to partner effectively with Data Science, Engineering, Product, and Fraud Operations teams
  • Strong analytical mindset with the ability to translate complex data into clear, actionable strategy decisions
  • Excellent communication skills, including presenting strategy recommendations to senior leadership
  • Experience in fintech, payments, travel, or e-commerce environments preferred
Job Responsibility
Job Responsibility
  • Own and drive fraud strategy for key risk areas across travel and expense, balancing fraud loss reduction with customer experience
  • Design and evolve fraud rules, thresholds, and decision workflows, informed by data science models, ML features, and investigative insights
  • Partner closely with Data Science teams to translate machine learning model outputs and features into effective, explainable fraud strategies
  • Lead strategy development across onboarding, payments, expense submissions, and transaction monitoring
  • Apply advanced analytics techniques (trend analysis, segmentation, clustering, network analysis) to identify emerging fraud patterns and control gaps
  • Perform root-cause analysis and loss attribution, quantifying financial impact and prioritizing strategy improvements
  • Own strategy performance metrics, including fraud loss, approval rates, false positives, and customer friction
  • Collaborate cross-functionally with Fraud Operations to ensure strategies are operationally executable and continuously optimized
  • Partner with Engineering and Product to implement fraud strategies into real-time and batch decisioning systems
  • Drive experimentation and A/B testing of rules, thresholds, and model-driven strategies
What we offer
What we offer
  • Generous medical plans, dental, and vision benefits with premiums covered by Navan
  • Various insurance options designed to cover each family's needs
  • Paid parental and bereavement leave
  • Subsidized commuter benefits
  • Mental health support
  • Connectivity stipends
  • Pet insurance
  • Fulltime
Read More
Arrow Right

Principal Product Manager- AI Integrity

The AI Integrity & Provenance team builds post‑deployment safety, abuse monitori...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in product/program management OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Lead product strategy for AI Integrity Foundations across provenance, abuse monitoring, incident response, and social listening, enabling safe, accountable, and resilient deployment of AI systems and agents at scale
  • Define the long-term vision, strategy, and roadmap for foundational integrity capabilities within Azure AI Foundry, ensuring consistent post-deployment safeguards across models, applications, and agentic workflows
  • Improve abuse monitoring and detection systems that identify and mitigate real-world AI threats and misuse, including prompt injection, jailbreaks, data exfiltration, malicious tool calls, coordinated abuse, model exploitation and other novel vectors
  • Own incident response product capabilities, enabling rapid detection, triage, investigation, and remediation of AI-related safety and security incidents, with clear metrics for MTTR, coverage, and enforcement effectiveness
  • Evolve provenance and content authenticity capabilities, supporting traceability, attribution, auditability, and regulatory requirements for trustworthy AI outputs
  • Partner closely with security engineers, red teams, AI researchers, and integrity analysts to translate emerging attack patterns, abuse signals, and novel harm vectors into durable, productized protections
  • Integrate AI integrity and security capabilities with Microsoft’s broader ecosystem, including Defender (threat detection and response), Entra (identity and access control), and Purview (data protection, governance, and compliance)
  • Drive 0‑to‑1 product development, taking new integrity and safety concepts from early experimentation through production launch, customer adoption, and operational maturity
  • Establish and own metrics and dashboards for AI integrity posture and product success, including detection coverage, signal quality, response effectiveness, customer impact, and regulatory readiness
  • Fulltime
Read More
Arrow Right

Senior Microsoft Sentinel Engineer

The Senior Microsoft Sentinel Engineer will be responsible for designing and mai...
Location
Location
Romania , Brasov
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Information Security, Cybersecurity, Computer Science, or related field
  • Minimum 5-10 years of experience in a similar role
  • Extensive hands-on experience administering and engineering solutions within Microsoft Sentinel, including custom analytics, automation, and log management
  • Strong proficiency in KQL with the ability to craft complex queries for detection, investigation, and reporting
  • Deep understanding of security monitoring, threat detection methodologies, and incident response practices
  • Deep understanding of log source onboarding in Sentinel
  • Practical experience with Microsoft Defender XDR solutions (Defender for Endpoint, Identity, Office 365, and Cloud Apps)
  • Familiarity with cloud-native security architecture, particularly Azure services, identity management, and network security controls
  • Ability to translate technical concepts into clear, actionable guidance for various levels of stakeholders
  • Linux proficiency
Job Responsibility
Job Responsibility
  • Design, implement, and maintain Microsoft Sentinel deployments, ensuring optimal configuration, data ingestion quality, and alignment with organizational security objectives
  • Create, refine, and optimize detection rules, analytics, workbooks, and dashboards to support effective monitoring of cloud, hybrid, and on-premises environments
  • Develop advanced KQL queries to support threat detection, hunting, reporting, and operational efficiency
  • Build and maintain SOAR playbooks using Logic Apps to automate triage, response actions, and workflow orchestration
  • Lead threat hunting initiatives leveraging Microsoft Sentinel, Defender XDR suite data, and relevant threat intelligence sources
  • Produce comprehensive documentation, including use cases, detection logic, response procedures, runbooks, and architectural diagrams
  • Collaborate with SOC analysts, security engineers, cloud teams, and application owners to ensure cohesive incident response and coordinated remediation activities
  • Oversee the integration of new log sources, ensuring proper mapping, normalization, and adherence to governance and compliance standards
  • Conduct continuous tuning and performance optimization of alerts, analytic rules, and data connectors to improve signal-to-noise ratio
  • Provide guidance, mentorship, and technical leadership to junior team members and cross-functional IT staff
What we offer
What we offer
  • Smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Projects have different working hours to suit your needs
  • Sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions or accredited Coaching School
  • Epic parties or themed events
  • Fulltime
Read More
Arrow Right

Information Security Engineer

The Information Security Engineer is responsible for designing, implementing, an...
Location
Location
Türkiye , Istanbul
Salary
Salary:
Not provided
5CA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in information security engineering, cloud security, or infrastructure security roles
  • Hands-on experience implementing security controls in Azure and Microsoft 365 ecosystems
  • Experience with Defender for Endpoint, Defender for Cloud, Defender for Identity, and Sentinel
  • Experience with secure cloud networking, identity governance, and Zero Trust principles
  • Experience supporting complex incident response investigations
  • Familiarity with ITIL processes (incident, change, problem)
  • Understanding of security frameworks (i.e. ISO 27001:2022) and data privacy regulations (i.e. GDPR)
  • Azure security architecture, governance, and configuration
  • Advanced Entra ID identity governance and access control
  • Endpoint and cloud threat detection (Defender suite)
Job Responsibility
Job Responsibility
  • Design, implement, and maintain security controls across Azure, Entra ID, Microsoft 365, network, and endpoint environments
  • Develop and maintain secure configurations, baselines, and policy frameworks using Azure Policy, Intune compliance, and conditional access
  • Integrate and optimize security tools including Microsoft Defender suite, SIEM/SOAR platforms, cloud security posture management, and identity governance systems
  • Support the design and review of cloud architectures, including secure VNet design, firewalls/NSGs, Private Link, and hybrid connectivity
  • Implement key cloud security protections such as encryption, identity governance, privileged access control, and secure automation frameworks
  • Partner with Cloud Engineers to codify security controls using Infrastructure-as-Code (IaC)
  • Implement and manage identity governance: MFA, Conditional Access, PIM, RBAC, role lifecycle automation
  • Review, assess, and refine authentication and access control configurations
  • Conduct periodic privileged access audits and align identity practices with Zero Trust principles
  • Tune and enhance SIEM/Sentinel detections, automation, and response playbooks
What we offer
What we offer
  • Flexibility to work 100% remotely with no wasted commute time and travel costs
  • Position at a fast-paced international company with ambitious gaming, e-commerce, and tech clients
  • Diverse and inclusive culture with people from 80+ countries, speaking 25+ languages
  • Innovative digital tools, and continuous opportunities for learning and development
  • Access to Udemy Business for learning and development
  • Fun employee engagement activities and participation in 5CA employee-lead communities such as 5CA Connect, Pride, 5CA Gamers, Women of 5CA
  • Fulltime
Read More
Arrow Right

Information Security Engineer

The Information Security Engineer is responsible for designing, implementing, an...
Location
Location
South Africa
Salary
Salary:
Not provided
5CA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in information security engineering, cloud security, or infrastructure security roles
  • Hands-on experience implementing security controls in Azure and Microsoft 365 ecosystems
  • Experience with Defender for Endpoint, Defender for Cloud, Defender for Identity, and Sentinel
  • Experience with secure cloud networking, identity governance, and Zero Trust principles
  • Experience supporting complex incident response investigations
  • Familiarity with ITIL processes (incident, change, problem)
  • Understanding of security frameworks (i.e. ISO 27001:2022) and data privacy regulations (i.e. GDPR)
  • Azure security architecture, governance, and configuration
  • Advanced Entra ID identity governance and access control
  • Endpoint and cloud threat detection (Defender suite)
Job Responsibility
Job Responsibility
  • Design, implement, and maintain security controls across Azure, Entra ID, Microsoft 365, network, and endpoint environments
  • Develop and maintain secure configurations, baselines, and policy frameworks using Azure Policy, Intune compliance, and conditional access
  • Integrate and optimize security tools including Microsoft Defender suite, SIEM/SOAR platforms, cloud security posture management, and identity governance systems
  • Support the design and review of cloud architectures, including secure VNet design, firewalls/NSGs, Private Link, and hybrid connectivity
  • Implement key cloud security protections such as encryption, identity governance, privileged access control, and secure automation frameworks
  • Partner with Cloud Engineers to codify security controls using Infrastructure-as-Code (IaC)
  • Implement and manage identity governance: MFA, Conditional Access, PIM, RBAC, role lifecycle automation
  • Review, assess, and refine authentication and access control configurations
  • Conduct periodic privileged access audits and align identity practices with Zero Trust principles
  • Tune and enhance SIEM/Sentinel detections, automation, and response playbooks
What we offer
What we offer
  • The flexibility to work 100% remotely with no wasted commute time and travel costs
  • A position at a fast-paced international company with ambitious gaming, e-commerce, and tech clients
  • A diverse and inclusive culture with people from 80+ countries, speaking 25+ languages
  • Innovative digital tools, and continuous opportunities for learning and development
  • Access to Udemy Business for learning and development
  • Fun employee engagement activities and participation in 5CA employee-lead communities
  • Fulltime
Read More
Arrow Right