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Manager Data Analyst Travel Jobs in Delaware (NOW HIRING)

JP Morgan Chase

CCOR Data Management Lead

Newark, DE · On-site

Data Product Managers serve as subject matter experts, coordinating between providers and consumers ... You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams ...

City National Bank

Data Quality Analyst

Newark, DE · On-site

$87K - $138K/yr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data Quality Analyst will be responsible for ... Ability and knowledge for effectively interacting with data users, managers, and other stakeholders.

City National Bank

Data Quality Analyst

Newark, DE

$87K - $138K/yr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data Quality Analyst will be responsible for ... Ability and knowledge for effectively interacting with data users, managers, and other stakeholders.

City National Bank

$87 - $139/hr

DATA QUALITY ANALYST WHAT IS THE OPPORTUNITY? The Data QualityAnalyst will be responsible for ... Ability and knowledge for effectively interacting with data users, managers, and other stakeholders.

JPMorgan Chase & Co.

CCOR Data Management Lead

Newark, DE · On-site

$180 - $250/hr

Data Product Managers serve as subject matter experts, coordinating between providers and consumers ... You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams ...

JPMorgan Chase & Co.

CCOR Data Management Lead

Newark, DE · On-site

$133K - $205K/yr

Data Product Managers serve as subject matter experts, coordinating between providers and consumers ... You will be working closely with CCOR Business leaders, CCOR ML, Analytics & Dashboarding teams ...

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All JobsData Analyst Travel JobsManager Data Analyst Travel JobsManager Data Analyst Travel Jobs in Delaware

Manager Data Analyst Travel information

What does a manager data analyst in the travel industry do?

A Manager Data Analyst in the travel industry oversees a team of data analysts and is responsible for collecting, analyzing, and interpreting data related to travel trends, customer behavior, and business performance. They work closely with other departments to provide insights that drive strategic decisions, improve customer experiences, and optimize operations. This role often involves managing data infrastructure, ensuring data quality, and presenting actionable recommendations to senior management. Strong leadership, analytical, and communication skills are essential for success in this position.

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

To thrive as a Manager Data Analyst in the travel industry, you need strong analytical skills, experience with data modeling, and a relevant degree in statistics, mathematics, or a related field. Proficiency in tools like SQL, Tableau, Python, and data warehousing systems, as well as familiarity with travel industry platforms, is typically required. Leadership, communication, and problem-solving abilities help you effectively manage teams and translate data insights into actionable business strategies. These skills and qualities are vital for driving data-informed decisions that optimize operations and enhance customer experiences in a competitive travel market.

How does a manager data analyst in the travel industry typically collaborate with other departments to drive business insights?

As a Manager Data Analyst in the travel sector, you will frequently collaborate with marketing, sales, operations, and product development teams to gather requirements, share analytical findings, and support strategic decision-making. This role often involves translating complex data into actionable insights for non-technical stakeholders, leading cross-functional meetings, and ensuring that data-driven recommendations align with broader business goals. Effective communication and teamwork are essential, as your analyses directly influence customer experience, pricing strategies, and operational efficiency across the organization.

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

AspectManager Data Analyst TravelData Analyst Travel
Required CredentialsBachelor's degree, experience in data analysis, leadership skillsBachelor's degree, proficiency in data tools, analytical skills
Work EnvironmentTeam leadership, project management, strategic planningData collection, analysis, reporting
Employer & Industry UsageTravel companies, hospitality, tourismTravel agencies, airlines, hospitality

The main difference is that a Manager Data Analyst Travel oversees data teams and strategic projects, while a Data Analyst Travel focuses on analyzing travel data and generating reports. The manager role involves leadership and decision-making responsibilities, whereas the analyst role emphasizes technical data work.

What cities in Delaware are hiring for Manager Data Analyst Travel jobs?

Cities in Delaware with the most Manager Data Analyst Travel job openings:

Manager Data Analyst Travel jobs near you

Technical Project Manager - Data Engineering

Taras Technology LLC

Wilmington, DE • On-site

Other

Posted 4 days ago

Key responsibilities

  • Manage the end-to-end delivery of data engineering, analytics, and platform modernization initiatives.

  • Lead, mentor, and develop a team of Data Engineers and Technical Leads, fostering a culture of accountability and continuous improvement.

  • Govern the implementation and support of enterprise data platforms, ensuring adherence to architecture standards, security policies, and operational processes.

Job description

Position Summary

We are seeking an experienced Project Manager - Data Engineering - to lead the delivery, governance, and operational management of enterprise data platforms and analytics initiatives. The role is responsible for managing a team of data engineers, driving project execution, ensuring adherence to architecture and engineering standards, and delivering business value through scalable and reliable data solutions.

 

Key Responsibilities:

Delivery Management

 •Own end-to-end delivery of data engineering, analytics, and platform modernization initiatives.

 •Manage project scope, timelines, budgets, risks, dependencies, and resource allocation.

 •Establish delivery governance and ensure projects meet quality, schedule, and business objectives.

 •Drive delivery planning, status reporting, issue resolution, and executive communication.

 

Team Leadership & People Management

• Lead, mentor, and develop a team of Data Engineers and Technical Leads.

 •Drive workforce planning, onboarding, capability development, and succession planning.

 •Establish performance expectations and promote engineering  excellence.

 •Foster a culture of accountability, collaboration, continuous improvement, and innovation.

 

Data Platform & Engineering Governance

•Govern the implementation and support of enterprise data platforms, data lakes, Lakehouse architectures, and analytics solutions.

•Ensure adherence to architecture standards, security policies, development guidelines, and operational processes.

•Lead architecture and design review processes to ensure solution quality and compliance.

 •Drive standardization, reuse, automation, and operational efficiency across the data ecosystem.

 

Stakeholder & Business Engagement

•Partner with business leaders, product owners, enterprise architects, and technology teams to define priorities and delivery roadmaps.

•Translate business objectives into executable delivery plans.

•Manage stakeholder expectations and ensure alignment between business outcomes and technical solutions.

•Provide regular updates to leadership on delivery status, risks, and strategic initiatives.

 

Data Quality, Compliance & Risk Management

•Ensure implementation of data governance, security, privacy, and compliance requirements.

•Establish controls for data quality, monitoring, and operational readiness.

•Identify delivery risks and implement mitigation plans proactively.

 

Analytics & AI Enablement

•Enable enterprise reporting and analytics through optimized      data products.

•Support advanced analytics, machine learning, and AI   initiatives by providing trusted and scalable data foundations.

•Evaluate and adopt emerging technologies that improve engineering efficiency and business value.

 

Required Qualifications

•Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related fields.

•10-14 years of IT experience with at least 5+ years in delivery management and technical leadership roles.

 •Proven experience leading large-scale Data Engineering and Analytics projects.

 Strong understanding of:

·        Azure Data Platform

·        Databricks

·        Azure Data Factory (ADF)

·        PySpark

·        SQL

·        Lakehouse/Data Lake architectures

·        Data Governance and Data Quality frameworks

·        Experience managing distributed teams and multiple concurrent projects.

·        Strong stakeholder management and executive communication skills.

 

Preferred Qualifications

• Experience leading enterprise-wide data platform modernization or migration programs.

• Experience with Agile, Scrum, DevOps, and CI/CD delivery models.

• Knowledge of AI/ML, advanced analytics, and data product operating models.

 •Azure, Databricks, PMP, Agile, or related certifications.

 

Expected Leadership Scope

•Own delivery portfolio across multiple business domains and projects.

•Accountable for delivery governance, architecture compliance, operational excellence, and strategic roadmap execution.

•Act as the single point of accountability for Data Engineering delivery within the organization.

“Taras Technology, LLC is an EEO/AA Employer: women, minorities, the disabled and veterans are encouraged to apply”

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