Senior Manager, Advanced Analytics
About The Position
The Senior Manager, Advanced Analytics leads analytics and measurement initiatives across Digital, Customer Experience, and Database Marketing. The role translates complex customer and marketing data into actionable insights and recommendations that inform business decisions. It independently leads analytics from business question through analysis, recommendation, and executive communication. This is a hybrid position based in Viking’s Woodland Hills, Los Angeles office. The schedule requires working from the office Monday and Thursday, plus one additional weekday each week. The role leads advanced analytics across customer segments, digital channels, web traffic, promotions, customer journeys, and upsell opportunities; defines measurement strategies and evaluates experiments; and leads customer and database analytics covering growth, lead generation, conversion, engagement, acquisition, and retention. It develops analytics solutions and self-service reporting using platforms including Adobe Analytics, Databricks, SQL, and Power BI, while establishing consistent metric definitions, business logic, metadata, and documentation. The position also advances AI-enabled and predictive analytics, including improving the business context used by AI-generated insights, identifying opportunities to automate analytical workflows with AI agents, and translating predictive model outputs into business recommendations. It leads complex initiatives, reviews analytical work, establishes standards, and coaches analysts and cross-functional partners. Viking offers a salary range of $160,000–$175,000 annually, with the final amount determined by factors including experience and qualifications. Employees are eligible for an annual discretionary bonus.
Requirements
- At least 8 years of experience in Advanced Analytics, Business Intelligence, Marketing Analytics, Customer Analytics, Data Science, or related fields.
- Demonstrated experience leading complex analytics initiatives across technical and business teams.
- Advanced SQL skills and strong experience with Databricks, Power BI, or comparable modern analytics platforms.
- Experience developing dashboards, reporting, analytical frameworks, and executive-level insights.
- Experience with customer, marketing, digital, or journey analytics.
- Experience designing or evaluating experiments, including test/control strategies, holdouts, or incrementality measurement.
- Experience with predictive analytics and translating model outputs into business decisions.
- Strong analytical, problem-solving, and business judgment skills, as well as executive communication skills.
- Experience coaching analysts or providing analytical leadership across teams.
Nice To Haves
- Experience with Databricks Genie or similar conversational analytics solutions and AI-enabled analytics workflows.
- Working knowledge of Python for analytics, modeling, or automation.
- Experience with propensity models, recommendation systems, or Next Best Action frameworks.
- Experience with semantic models, metadata management, data dictionaries, AI-ready documentation, or modern data governance.
- Experience in travel, hospitality, direct-to-consumer, e-commerce, CRM, or database marketing environments.
Responsibilities
- Lead analysis across customer segments, digital channels, web traffic, promotions, customer journeys, and upsell opportunities.
- Identify trends, performance drivers, and opportunities that inform business strategy.
- Translate complex data into clear insights and recommendations for senior leadership.
- Partner with stakeholders to turn business questions into structured analytical approaches.
- Define KPIs and measurement strategies across digital, email, database, and customer journey initiatives.
- Design and evaluate test/control experiments, holdouts, and incrementality measurements.
- Translate testing results into recommendations for marketing and customer experience strategies.
- Lead analytics for database growth, lead generation, conversion, engagement, acquisition, and retention.
- Identify drivers of customer growth, engagement, conversion, and attrition.
- Develop reporting that measures customer and database health.
- Develop and scale analytics solutions using Adobe Analytics, Databricks, SQL, Power BI, and related platforms.
- Build Power BI dashboards, semantic models, reusable reporting, and Databricks Genie spaces.
- Improve reporting automation and establish consistent metric definitions, business logic, metadata, and documentation.
- Advance self-service and AI-enabled analytics for analysts and business users.
- Develop trusted business context and definitions that improve the accuracy of AI-generated insights.
- Identify opportunities to use AI agents to automate analytical workflows.
- Apply predictive analytics and evaluate propensity, recommendation, and customer decisioning models.
- Translate model outputs into actionable business recommendations.
- Lead complex analytical initiatives from problem definition through analysis, validation, and recommendation.
- Review analytical work for accuracy, rigor, business relevance, and clarity.
- Establish analytics standards and reusable best practices.
- Coach analysts and cross-functional partners on measurement, reporting, and data-driven decision-making.
Benefits
- Annual discretionary bonus eligibility.
- 401(k) plan with company match.
- Medical, dental, vision, life, and disability insurance at a highly subsidized rate; some plans are fully paid by Viking.
- 15 paid vacation days accrued, sick time accrued according to state, and 6 paid holidays per year.
- Opportunity to take a free and/or discounted cruise.
- Highly subsidized gym membership.
- Discounts on theatres, theme parks, movie tickets, and travel through IATA membership, among other discounts.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
