Senior Manager, Strategic Analytics

MeUndies•Culver City, CA

11d•$120,000 - $160,000•Hybrid

About The Position

This role is responsible for setting the vision and roadmap for analytics, aligning priorities to company strategy and the most important decisions facing the business. The Senior Manager will build and lead a high-performing analytics function, coach team members, manage stakeholder intake, and prioritize work for impact. They will lead long-range and ad hoc analyses to uncover growth opportunities, risks, and business improvements, including customer retention and churn, purchase-path behavior, segmentation, marketing efficiency, and profitability. The role involves crafting clear narratives, recommendations, and executive-ready presentations that translate complex findings into action. Additionally, the Senior Manager will own and improve the self-service analytics environment in Looker, serve as a subject-matter expert on company data, partner with Data Engineering, and combine customer research with behavioral and financial data to influence priorities. They will also identify opportunities for predictive analytics and advanced modeling, develop and report company-wide KPIs, and bring a balanced point of view grounded in data, business context, and sound judgment. The role also involves grounding the data-driven financial model and planning cycle in accurate data, reviewing KPIs, quantifying the value of strategic initiatives, analyzing margin trends and profitability, monitoring ongoing performance, and working with leaders across various departments to frame questions, evaluate tradeoffs, and allocate resources.

Requirements

7+ years of progressive experience in analytics, business intelligence, management consulting, strategic finance, or a similarly quantitative and strategic field.
Advanced SQL and Excel skills
Advanced experience with a business intelligence and visualization platform such as Looker or Tableau.
Strong business acumen and a demonstrated ability to connect customer, operational, and financial data to company strategy.
Strong financial fluency - comfortable reading and reasoning about a P&L, margin structure, and unit economics.
Deep understanding of DTC unit economics - customer LTV, payback timelines, CAC efficiency, and the levers that drive forward profitability in a DTC business.
Experience leading complex projects and cross-functional initiatives from framing through recommendation and execution.
Exceptional written, verbal, and presentation skills, including the ability to explain technical or financial concepts to non-technical audiences and influence executive stakeholders.
Working knowledge of data architecture and warehouse concepts, with experience partnering effectively with Data Engineering or BI teams.
A high degree of ownership, integrity, attention to detail, and comfort operating in a fast-paced, evolving environment.
A hands-on leadership style: willing to dig into the data while also setting direction, developing talent, and raising the quality of the team's work.

Responsibilities

Set the vision and roadmap for analytics, aligning priorities to company strategy and the most important decisions facing the business.
Build and lead a high-performing analytics function; coach team members, manage stakeholder intake, and prioritize work for impact.
Lead long-range and ad hoc analyses that uncover growth opportunities, risks, and business improvements, including customer retention and churn, purchase-path behavior, segmentation, marketing efficiency, and profitability.
Craft clear narratives, recommendations, and executive-ready presentations that translate complex findings into action.
Own and continuously improve the self-service analytics environment in Looker, ensuring teams have intuitive access to trusted metrics and reporting.
Serve as a subject-matter expert on how company data is defined, structured, and reported; establish shared KPI definitions and strong data-quality practices.
Partner with Data Engineering to identify new data sources, define warehouse and reporting requirements, and prioritize improvements.
Combine customer research and voice-of-customer data with behavioral and financial data to influence product, marketing, and operational priorities.
Identify practical opportunities for predictive analytics and advanced modeling, and guide the organization toward higher-value use cases.
Develop and report company-wide KPIs that give leaders timely, accurate, and actionable visibility into performance.
Bring a balanced point of view grounded in data, business context, and sound judgment.
Ground the data-driven financial model and the annual/quarterly planning cycle in accurate operational and customer data.
Continually maintain and enhance the company's data-integrated financial model, keeping it current and decision-ready.
Review KPIs and connect operational drivers to financial outcomes.
Quantify the value of strategic initiatives to inform prioritization and execution.
Bring an analytical lens to margin trends, unit economics, and channel and product profitability, informing forecasting assumptions and growth targets.
Monitor ongoing performance, surface material trends and variances, and recommend actions to improve outcomes.
Work with leaders across Marketing, Product, Operations, and Inventory/Physical Product to frame questions, evaluate tradeoffs, and allocate resources.