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Travel Data Analytics Jobs in Wisconsin (NOW HIRING)

Data Strategy-Manager

Milwaukee, WI · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

The role blends the rigor of data science with the practicality of engineering and business ... Occasional travel. "We are an equal opportunity employer and all qualified applicants will receive ...

... Data Analytics, or related field; or relevant experience. Experience: 5+ years of experience indata governance,data management, dataanalysisorrelated disciplines Travel: 10% Work Schedule: This ...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other ... Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in ...

... of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project ... Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS ...

Showing results 41-60

Travel Data Analytics information

What is travel data analytics?

Travel data analytics refers to the process of collecting, processing, and analyzing data related to the travel industry, such as flight bookings, hotel reservations, customer preferences, and travel trends. Professionals in this field use statistical and analytical methods to uncover insights that can help travel companies optimize operations, improve customer experiences, and increase profitability. By leveraging large datasets, they can identify emerging patterns, forecast demand, and make data-driven decisions to stay competitive in the market.

What are the key skills and qualifications needed to thrive as a travel data analyst?

To thrive as a Travel Data Analyst, you need strong analytical abilities, proficiency in statistics, and a background in data analysis or a related field. Familiarity with data visualization tools like Tableau or Power BI, SQL databases, and potentially certifications in analytics or data science are typical requirements. Excellent problem-solving, communication, and attention to detail help you interpret trends and present actionable insights to stakeholders. These skills are crucial for optimizing travel operations, enhancing customer experiences, and driving data-informed decisions in the travel industry.

What are some common challenges faced in a travel data analytics role, and how can they be addressed?

Professionals in Travel Data Analytics often encounter challenges such as integrating data from multiple sources (e.g., booking engines, customer reviews, and global distribution systems) and ensuring data quality and consistency. Addressing these challenges requires strong data management skills, familiarity with ETL (Extract, Transform, Load) processes, and effective communication with IT and business teams to clarify requirements. Staying updated with industry-specific analytics tools and trends also helps in transforming complex datasets into actionable insights for travel businesses.

What is the difference between Travel Data Analytics vs Travel Data Analyst?

AspectTravel Data AnalyticsTravel Data Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; proficiency in data toolsBachelor's degree in related field; basic data analysis skills
Work EnvironmentData teams, travel companies, analytics departmentsTravel agencies, tour operators, hospitality firms
Employer & Industry UsageUsed for strategic insights, forecasting, and decision-makingUsed for reporting, data interpretation, and operational support

Travel Data Analytics involves analyzing large datasets to generate strategic insights, often requiring advanced skills and tools. In contrast, a Travel Data Analyst focuses on interpreting data for operational purposes, typically with less emphasis on complex analytics. Both roles are essential in the travel industry but differ in scope and technical depth.

What cities in Wisconsin are hiring for Travel Data Analytics jobs?

Cities in Wisconsin with the most Travel Data Analytics job openings:

Senior Technical Manager, Data, Analytics, and AI Solutions

Lund Boats

Fond Du Lac, WI • On-site

$118K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Are you ready for what's next?

Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes "Next Never Rests," and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.

Location:Fond du Lac, WI or Mettawa, IL

Workplace Category: Hybrid

Travel Required:Ability to travel domestically and internationally, up to 15% as business needs require.

Direct Reports:None

Pay Range:$118,400 - $174,000

Visa Sponsorship:Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.

Relocation: Relocation assistance is not routinely provided and may be considered for exceptional candidates.

Innovationis the heart of Brunswick.Seehowyourcontributionswillhelptransform vision into reality:

Position Overview:

The Senior Technical Manager, Data, Analytics, and AI Solutions is responsible for leading the design, planning, and delivery of data, analytics, reporting, ETL, and AI-enabled solutions. This role partners closely with business stakeholders, technology teams, data engineers, architects, analysts, and leadership to translate business needs into scalable technical solutions that support data-driven decision making.

This position requires a strong blend of technical expertise, solution ownership, stakeholder engagement, project intake management, and team leadership. The ideal candidate possesses strong communication skills, deep understanding of data and analytics platforms, experience with ETL and reporting technologies, and the ability to build trusted partnerships across business and IT organizations.

The role will serve as a technical leader and solution advisor, managing a team, helping shape data and analytics roadmaps, define phased implementation plans, manage demand intake, and ensure that solutions are aligned to enterprise architecture, business value, and long-term platform strategy.

Key Responsibilities

- Business Partnership & Stakeholder Engagement

  • Act as a trusted technical partner to business stakeholders and technology leaders.
  • Partner with business teams to understand operational challenges, data needs, reporting gaps, and analytics opportunities.
  • Communicate complex technical concepts in a clear, business-friendly manner.
  • Facilitate alignment between business priorities and technical delivery plans.
  • Build strong partnerships across business functions, IT, enterprise architecture, data engineering, analytics, AI, and project delivery teams.
  • Support change management, adoption, training, and value realization for delivered solutions.

- Technical Solution Leadership

  • Lead technical planning, design, and delivery of data, analytics, reporting, ETL, and AI-related solutions.
  • Partner with architects, engineers, analysts, and business teams to define scalable solution approaches.
  • Translate business objectives into technical requirements, solution designs, data flows, integration patterns, and implementation plans.
  • Provide technical oversight across data pipelines, reporting environments, semantic layers, dashboards, data models, and analytics platforms.
  • Ensure solutions are scalable, secure, supportable, and aligned with enterprise data and technology standards.
  • Evaluate technical tradeoffs, dependencies, risks, and architecture considerations for data and analytics initiatives.

- Requirements Gathering & Technical Analysis

  • Lead workshops, stakeholder interviews, and discovery sessions to identify business needs and opportunities.
  • Conduct requirements gathering sessions with business stakeholders, subject matter experts, and technical teams.
  • Elicit and document business, functional, technical, data, reporting, and integration requirements.
  • Translate business requests into detailed user stories, technical specifications, data mapping documents, process flows, and acceptance criteria.
  • Validate requirements with stakeholders and ensure requirements are clear, complete, and actionable for delivery teams.
  • Bridge communication between business users and technical teams to ensure shared understanding of needs, constraints, and solution design.

- Roadmapping & Phased Planning

  • Develop and maintain data, analytics, reporting, ETL, and AI solution roadmaps.
  • Create phased implementation plans that balance business value, technical complexity, platform readiness, resource availability, and dependencies.
  • Sequence initiatives across short-term tactical needs and long-term strategic modernization efforts.
  • Support technology rationalization, platform modernization, cloud migration, and analytics transformation planning.
  • Partner with business and IT leadership to prioritize investments and define delivery milestones.
  • Communicate roadmap progress, risks, dependencies, and decision points to leadership and stakeholders.

- Data, ETL & Reporting Platform Expertise

  • Provide technical leadership across ETL, data integration, business intelligence, reporting, and analytics platforms.
  • Bring experience with ETL and data integration tools such as Microsoft Fabric/Synapse/Data Factory, Informatica, and Alteryx.
  • Support design and delivery of data pipelines, data models, transformation logic, and reporting datasets.
  • Understand enterprise reporting and analytics environments, including dashboarding, semantic models, data marts, data warehouses, and self-service analytics.
  • Provide technical guidance for Oracle Analytics environments, including Oracle Analytics Cloud, OBIEE, Oracle data models, and related reporting ecosystems.

- Modern Analytics Enablement

  • Partner with technical teams to modernize legacy reporting and data integration environments into cloud-based analytics platforms.
  • Support cloud data architecture, data movement, data transformation, data storage, security, and performance considerations.
  • Help evaluate where AI, machine learning, automation, and natural language analytics can improve business processes and insights.
  • Ensure data solutions align with enterprise security, governance, privacy, and compliance requirements.

- Tool Consolidation & Modernization

  • Lead or support ETL, reporting, and analytics tool consolidation initiatives.
  • Assess duplicate tools, overlapping capabilities, redundant reports, fragmented data sources, and inconsistent reporting processes.
  • Develop recommendations for rationalizing reporting platforms, ETL tools, dashboards, and analytics assets.
  • Partner with business and technical teams to migrate reports, retire legacy solutions, and standardize on strategic platforms.
  • Support modernization efforts from legacy BI platforms to modern cloud-based data and analytics solutions.
  • Help define enterprise standards for reporting, data integration, analytics delivery, and self-service enablement.

- Project Intake, Prioritization & Governance

  • Manage the intake process for data, analytics, reporting, AI, and technology requests.
  • Evaluate incoming requests for business value, technical complexity, strategic alignment, dependencies, resource needs, and platform fit.
  • Facilitate intake review sessions, prioritization discussions, and roadmap alignment meetings.
  • Maintain visibility into demand pipeline, project backlog, delivery status, and resource capacity.
  • Ensure incoming requests are properly scoped, documented, prioritized, and transitioned to delivery teams.
  • Establish consistent processes, templates, and governance practices for intake and requirements management.

- Team Leadership & People Management

  • Lead, coach, and develop a team of technical, business, and data analysts.
  • Set team goals, delivery expectations, development plans, and performance standards.
  • Provide guidance on requirements gathering, technical analysis, solution design, stakeholder management, and delivery best practices.
  • Manage team workload, resource allocation, project assignments, and capacity planning.
  • Build a high-performing team culture focused on technical excellence, accountability, collaboration, and continuous improvement.
  • Mentor team members on data platforms, analytics tools, AI concepts, cloud technologies, and enterprise delivery practices.
  • Establish reusable standards, documentation templates, solution patterns, and delivery methods.

Required Qualifications:

  • Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, Business, or a related field.
  • 7+ years of experience in data, analytics, business intelligence, ETL, reporting, solution delivery, or related technology roles.
  • 3+ years of people leadership or technical team leadership experience.
  • Strong experience conducting requirements gathering and translating business needs into technical requirements.
  • Experience developing roadmaps, phased implementation plans, and technical delivery strategies.
  • Strong understanding of data integration, ETL, data warehousing, data modeling, reporting, dashboards, and analytics platforms.
  • Experience working with business stakeholders and technical teams in a cross-functional environment.
  • Proven ability to manage project intake, prioritize demand, and align work to business value and technical feasibility.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Experience supporting enterprise-scale data and analytics solutions.

Preferred Qualifications:

  • Experience with Oracle Analytics technologies, including Oracle Analytics Cloud, OBIEE, Oracle BI Applications, Oracle data warehouses, or Oracle semantic/reporting layers.
  • Experience with Azure technologies such as Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Databricks, Azure SQL, Azure AI Services, Microsoft Fabric, and Power BI.
  • Experience with ETL and data integration tools such as Informatica, Microsoft Fabric/Synapse/Data Factory, and Alteryx.
  • Experience with reporting, BI, or ETL tool consolidation initiatives.
  • Experience modernizing legacy reporting platforms and migrating to cloud-based analytics ecosystems.
  • Experience with data governance, metadata management, data quality, master data, and semantic layer design.
  • Certifications in Azure, Power BI, Microsoft Fabric, Oracle, Agile, Scrum, PMP, CBAP, or related disciplines are a plus.

Ideal Candidate Profile
The ideal candidate is a technically strong data and analytics leader who can operate across business engagement, solution design, platform modernization, and delivery execution. This person understands ETL pipelines, reporting platforms, Oracle Analytics, Azure technologies, data architecture, and AI-enabled analytics, while also being able to collaborate with business leaders, gather requirements, build roadmaps, and lead a high-performing team. They are equally comfortable discussing business outcomes with stakeholders, technical architecture with engineers, reporting strategy with analysts, and roadmap tradeoffs with leadership.

The hiring range for this position is$118,400 - $174,000 annually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate's qualifications and the business context.

In addition to base pay, this position is eligible for an annual discretionary bonus. This position is eligible toparticipatein Brunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be foundhere.

Why Brunswick:

Whatever tomorrow brings,we'llbe at the leading edge.Astheclear leader in the marine industry,we'recommitted to our values and supporting our exceptional people. We offer and encourage growth opportunities within and across our many brands. In addition,we'reproud of being recognized for making a splash withnumerous awards!

About Division:

Brunswick Corporation is a leader in the marine industry, andwe'relooking for people just like you to take part in the movement towards better boating for all. We rely on the thoughtful input of people from all backgrounds to create compelling, innovative products for our customers around the globe. As such, diversity, equity, and inclusion are priorities in the enduring culture of our company. As a world leader in emerging recreational products and technologies, when you join our team, you become part of some of the most innovative, forward-looking brands in the marine industry today.

Next is Now!


We value growth and development, recognizing that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying.

Brunswick is an Equal Opportunity Employer and considers all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by federal, state, or local law. Diversity of experience and skills combined with passion is key to innovation and inspiration and we encourage individuals from all backgrounds to apply. If you require accommodation during the application or interview process, please contact hrsharedservices@brunswick.comfor support.

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