Senior Manager Advanced Analytics, CS Ops & BI

• Leadership & Strategy:

• Lead and inspire a multidisciplinary analytics team to deliver data-driven insights for Community Support.
• Develop and execute an analytics strategy to align with organizational priorities, such as reducing contact volume, increasing first contact resolution (FCR), and optimizing cost-effective service delivery.
• Translate Community Support priorities into actionable data strategies to enhance customer satisfaction, operational efficiency, and proactive issue resolution.
• Advanced Analytics Solutions:

• Drive analytics frameworks across Community Support AI tools, operational processes, and ambassador interactions.
• Design predictive and causal modeling techniques to identify trends, optimize resourcing, and improve service experiences.
• Enhance anomaly detection capabilities and integrate predictive analytics with operational dashboards to deliver real-time insights.
• Collaboration:

• Partner across functional teams such as Product, Operations, and Data Engineering to ensure alignment of insights with business objectives.
• Work closely with engineering on logging improvements, instrumentation, and scalable tools.
• Metrics Development:

• Build and oversee impactful metrics such as Net Promoter Score (NPS), Time to First Touch (TTFT), First Contact Resolution (FCR), Solves Per Day (SPD), and advanced Service Quality metrics.
• Introduce models for measuring and mitigating silent suffering and other nuanced customer trends.
• Experimentation & Measurement:

• Lead structured experimentation, including developing power analyses, exit criteria, and statistical models for inference in key initiatives.
• Organizational Leadership:

• Foster innovation in CS analytics by organizing workshops and structured training programs tailored to address core priorities like contact volume reduction, resolution speed, and data-augmented service strategies.
• Contribute to executive-level presentations that contextualize CS performance data within broader organizational objectives, ensuring insights are framed to influence senior leaders and drive strategic decision-making.

• Owning the analytics road map, prioritization & delivery of solutions in the customer support space space.
• Collaborating with operational teams to visualize case and interaction-level data to unpack contact reason trends and efficiencies.
• Engaging with global & India based stakeholders to refine Community Support reporting frameworks.
• Lead data investigations, uncover root causes and identify opportunities for product managers.
• Building scalable insights solutions using advanced analytics techniques.
• Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentation.
• Define how to best measure the performance of Airbnb products and business through new metrics and dimensions. Align with stakeholders, understand trade offs and guardrails, prototype metrics through custom data pipelines.
• Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards.
• Work closely with other global operations and India analytics functions.
• Drive accountability within the team and effectively manage stakeholder expectations
• Hire, retain and grow talent across the right mix of functional areas to meet payment analytics needs.
• Coach and mentor direct reports on both technical development and soft skills.
• Adapt and grow the India customer support analytics team as the business evolves.

• 15+ years of industry experience and an advanced degree (Masters or PhD preferred) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
• Proven expertise in leveraging analytics to shape customer support strategies, including reducing contact volumes, enhancing resolution rates, and improving service quality metrics such as NPS and FCR.
• Strong proficiency in Python or R programming, SQL, data modeling, ETL processes, and data warehousing concepts to ensure scalable and efficient data pipelines.
• Extensive experience in advanced statistical methodologies, including hypothesis testing, regression techniques (Linear, Logistic, Ridge, Lasso), Random Forest, NLP/Text Mining, and clustering algorithms like K-Means.
• Expertise in designing and developing BI dashboards using tools like Tableau, Power BI, or Looker, with a focus on user-centric design, advanced visualizations, interactivity features, and performance optimization.
• Demonstrated ability to design metrics and prototypes integrated with robust data pipelines, supporting actionable insights and decision-making.
• Skilled in A/B experiment analysis, statistical data analysis, and experimental design to measure effectiveness and drive continuous improvement.
• Proven communication and collaboration skills, capable of translating technical insights into actionable narratives for both technical and non-technical audiences within cross-cultural and cross-functional teams.
• Experience driving data strategies, establishing centralized sources of truth, and providing direction on analytics within diverse organizational contexts.

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