Pay
In line with similar jobs
$160K–$175K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Los Angeles, California, United States
Actively hiring, first seen by us 1 day ago- Salary range $160,000 - $175,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, individual qualifications and other relevant business considerations. Employees are eligible for annual discretionary bonus.Read the full posting
The ideal candidate combines strong technical expertise with the ability to independently lead analytics from business question through analysis, recommendation, and executive communication. This is a hybrid position based in our Woodland Hills, Los Angeles office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis. Key Responsibilities:Read the full posting
Lead complex analytics from business question through recommendation
Design and evaluate test/control experiments, holdouts, and incrementality
Build Power BI dashboards, semantic models, and Databricks Genie spaces
Apply predictive analytics to propensity and recommendation models
Coach analysts and cross-functional partners on measurement and reporting
Lead complex analytical initiatives from problem definition through analysis, validation, and recommendation.
Design and evaluate test/control experiments, holdouts, and incrementality measurements.
Build Power BI dashboards, semantic models, reusable reporting, and Databricks Genie spaces.
Apply predictive analytics and evaluate propensity, recommendation, and customer decisioning models.
Coach analysts and cross-functional partners on measurement, reporting, and data-driven decision-making.
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.
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.
Experience with Databricks Genie or similar conversational analytics solutions and AI-enabled analytics workflows.
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.
Viking (NYSE: VIK) is a global leader in experiential travel with a fleet of more than 100 ships, exploring 21 rivers, five oceans and all seven continents.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
In line with similar jobs
$160K–$175K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 7 and day 53.
From 7,803 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
Analytics Platforms & Self-Service - 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.
- 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.
- 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.
Preferred Qualifications: - Experience with Databricks Genie or similar conversational analytics solutions and AI-enabled analytics workflows. - Working knowledge of Python for analytics, modeling, or automation.
Complete your application on vikingcruises.hire.trakstar.com. The employer’s form will show what is required.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job Overview
The Senior Manager, Advanced Analytics leads analytics and measurement initiatives across Digital, Customer Experience, and Database Marketing. This role translates complex customer and marketing data into actionable insights and recommendations that drive business decisions.
The ideal candidate combines strong technical expertise with the ability to independently lead analytics from business question through analysis, recommendation, and executive communication.
This is a hybrid position based in our Woodland Hills, Los Angeles office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis.
Key Responsibilities:
Advanced Analytics & Business Insights
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.
Measurement & Experimentation
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.
Customer & Database Analytics
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.
Analytics Platforms & Self-Service
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.
AI & Predictive Analytics
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.
Analytics Leadership
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.
Required Qualifications:
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, business judgment, and executive communication skills.
Experience coaching analysts or providing analytical leadership across teams.
Preferred Qualifications:
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.
What We Offer You:
Viking is a certified Great Place to Work company. This certification is a result of our commitment to excellence, integrity and our teams’ outstanding contributions.
About Viking
Viking (NYSE: VIK) is a global leader in experiential travel with a fleet of more than 100 ships, exploring 21 rivers, five oceans and all seven continents. Designed for curious travelers with interests in science, history, culture and cuisine, Chairman and CEO Torstein Hagen often says Viking offers experiences For The Thinking Person™. Viking has more than 450 awards to its name, including being rated #1 for Rivers and #1 for Oceans five years in a row by Condé Nast Traveler in the 2025 Readers’ Choice Awards. Viking is also rated a “World’s Best” by Travel + Leisure—no other travel company has simultaneously received such honors by both publications.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
- Salary range $160,000 - $175,000 annually determined by a myriad of factors including, but not limited to, years of experience, depth of experience, individual qualifications and other relevant business considerations. Employees are eligible for annual discretionary bonus.
Los Angeles, California, United States
The ideal candidate combines strong technical expertise with the ability to independently lead analytics from business question through analysis, recommendation, and executive communication. This is a hybrid position based in our Woodland Hills, Los Angeles office. You will be required to adhere to our hybrid work policy, working from our office Monday and Thursday plus one additional weekday on a weekly basis. Key Responsibilities:
No clear work-authorization passage found. Eligibility is unconfirmed.