Senior Manager, Advanced Data and Analytics Job at Bloom Ads Global Media Group (Woodland Hills)

Wholesale Credit Risk Data Quality Analytics and Reporting Senior Lead Analyst- Senior Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in Banking or Finance industry preferred
12+ years of experience on working with Wholesale Credit Risk dataset
Experience / Certifications in Agile Methodology preferred
Experience monitoring and managing Data Quality on an ongoing basis, including identifying and resolving issues
executing against Data Quality strategies and policies
Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences
able to drive consensus, and influence relationships at all levels
Collaborates effectively by building partnerships and working well with others to meet shared objectives
Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels
Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between understanding the big picture while paying close attention to detail

Job Responsibility

Directs key initiatives within the business through the collection, analysis, review, reporting, documentation and communication of business needs and requirements
Manages resource allocation of work on key projects/initiatives
Deals with complex and highly variable issues with substantial potential business impact
Applies ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations
Acts as an advisor or coach to new or lower-level personnel in the business processes and procedures of the business
Provides in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions
Influences strategic functional decisions through advice, counsel or provided services that have direct impact on the business
Designs/analyzes complex reports to satisfy management requirements
Uses broad discretion in developing solutions for broad-based business reporting issues
Leads reengineering efforts in business's methodology, strategy, and organizational goals

Fulltime

Senior Data Analytics Manager

Chewy is seeking a Senior Data Analytics Manager to join our dynamic Retail Anal...

Location

United States , Bellevue

Salary:

129500.00 - 207000.00 USD / Year

Chewy

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field (Master’s preferred)
6+ years of experience in analytics, business intelligence, or data science, preferably in e-commerce, subscription, or loyalty programs
Advanced SQL skills and experience working with large, complex datasets
Strong experience with Python or R and data visualization tools such as Tableau or Power BI
Experience with customer lifecycle metrics, cohort analysis, and CLV modeling
Strong analytical thinking with the ability to translate insights into clear business recommendations
Excellent communication skills and ability to influence senior stakeholders
Ability to thrive in ambiguous environments and structure open-ended problems

Job Responsibility

Develop and own analytical frameworks to measure Chewy+ member acquisition, activation, engagement, retention, churn, and lifetime value
Define and track core Chewy+ KPIs, including cohort performance, incremental value, cannibalization, and ROI
Lead deep-dive analyses on member behavior, purchase frequency, basket composition, and cross-category lift
Design and evaluate A/B tests and quasi-experiments to inform Chewy+ pricing, benefits, and promotional strategies
Partner with Data Science to develop models that assess the incrementality of the product
Ensure consistent metric definitions, data quality, and governance across Chewy+ reporting
Collaborate with Finance on Chewy+ P&L, unit economics, and long-term value modeling
Work closely with Data Engineering and BI teams to enable reliable, well-modeled loyalty datasets

What we offer

401k
new hire and annual equity grant
medical/Rx
vision
dental
life
disability
hospital indemnity
critical illness
accident

Fulltime

Senior Manager, Data & Analytics

The Senior Manager, Data & Analytics (D&A) is responsible for leading the develo...

Location

United States , Chicago

Salary:

121800.00 - 182600.00 USD / Year

Ardagh Group

Expiration Date

Until further notice

Requirements

Minimum Bachelor’s degree in data science, statistics, finance or accounting
7+ years of experience in data analytics, with relevant financial experience
Familiarity with data analysis tools and languages such as SQL, Excel, Python, or R
Experience with visualization tools such as PowerBI or Tableau
Familiarity with statistical methods and data modelling techniques
Experience in Manufacturing industry a plus
SAP experience a plus
Self-starter with strong results orientation
Collaborative style with proven written and verbal communication skills

Job Responsibility

Develop and implement a comprehensive data and analytics strategy that supports the company’s financial and business goals
Support the transformation of the finance function and other departments through advanced analytics
Co-create D&A strategy with the IT Function to ensure data foundations are set to enable analytics initiatives
Collaborate with leadership to identify and prioritize key financial analytics initiatives
Enable reporting automation by developing and maintaining dashboards using data visualization tools that communicate key performance indicators (KPIs) and insights to stakeholders
Work closely with the CEO, CFO and other members of the leadership team to establish and coordinate the AI Governance Council
Own and advance the Technology Roadmap, ensuring alignment with business strategy and enterprise architecture
Establish and enforce data governance policies and procedures within Finance
Ensure the accuracy, consistency, and reliability of all data used for analysis and reporting
Act as Finance Lead/ owner of financial systems (HFM, Tagetik)

What we offer

Medical, prescription, dental and vision plans
Flexible Spending Accounts (FSA)
Life insurance
401(k) retirement plan with company match
Paid holidays and vacation
Short- and Long-Term Disability (STD/LTD)
Employee Assistance Program (EAP)
Apprenticeship programs
Professional and personal development opportunities through Employee Resource Groups

Fulltime

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 Analytics

Airbnb is seeking a Senior Manager for Advanced Analytics to provide critical su...

Location

United States

Salary:

208000.00 - 260000.00 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 with at least 4 years in people management roles
Experience in leading and motivating a geographically distributed team
Deep technical expertise in data analysis, experimentation, causal inference, and familiarity with LLMs
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 (MBA or equivalent) is highly preferred.

Job Responsibility

Lead and develop a high-performing geographically distributed team, fostering a culture of innovation, agility, growth, and collaboration
Drive crafts and analytical excellence on advanced data analysis, statistical modeling, experimentation, and metric frameworks
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
Collaborate with teams including Strategic Finance, Data Engineering, Data Science, and Product Marketing in addition to other cross-functional teams
Develop meaningful metrics and KPIs to quantify the performance of key business initiatives

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Data & Analytics Project Manager

We are seeking an experienced Senior Data & Analytics Program Manager to lead en...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

10+ years of experience leading technical projects or programs in data, analytics, cloud, or enterprise IT environments
Proven experience managing data architecture, data modeling, data warehousing, business intelligence, and analytics initiatives
Strong understanding of SQL, databases, enterprise data systems, and cloud technologies
Experience managing cross-functional teams, vendors, enterprise timelines, and large-scale project delivery
Strong project planning, budgeting, forecasting, resource management, and governance experience
Proficiency with Jira, Azure DevOps, MS Project, Smartsheet, or similar project management tools
Excellent communication, facilitation, stakeholder management, and leadership skills
Strong analytical, organizational, and problem-solving abilities
Ability to work independently and manage multiple priorities in fast-paced enterprise environments

Job Responsibility

Lead enterprise data, analytics, cloud, and business intelligence projects and programs from initiation through delivery
Manage data architecture, data modeling, data warehousing, and analytics modernization initiatives
Define project scope, objectives, milestones, timelines, deliverables, success metrics, and implementation strategies
Collaborate with data engineers, developers, analysts, architects, vendors, and business stakeholders to ensure successful project execution
Support healthcare data initiatives and enterprise data integration efforts involving standards such as FHIR, CCDA, and HL7
Coordinate project budgeting, forecasting, resource planning, financial tracking, and status reporting activities
Utilize project management tools such as Jira, Azure DevOps, MS Project, and Smartsheet to track project progress and deliverables
Facilitate communication between technical teams and executive leadership by translating complex technical concepts into business-friendly language
Support cloud platform initiatives involving Azure, AWS, GCP, enterprise applications, and modern data systems
Drive risk management, issue resolution, dependency tracking, and stakeholder communication activities

Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing sp...

Location

Ireland , Dublin

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
Proven track record of delivering measurable results from customer loyalty programs in large retail environments
Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Demonstrated ability in talent acquisition, team development, coaching, and mentoring
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication

Job Responsibility

Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues
Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
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

What we offer

Complete benefits packages (health insurance, pension contribution etc.)
Possibility of enrolling in stock purchase plan
Employee discount on fuel
Learning opportunities to develop new skills and to evolve professionally in a fast-growing company

Fulltime

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Senior Manager, Advanced Data and Analytics

Job Description

Job Responsibility

Requirements

What we offer

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