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Manager Data Analyst Travel Jobs in Delaware (NOW HIRING)

Data Analyst (Reference Data Management - RDM) Location: Wilmington, DE (Onsite) Employment Type: Full-Time Position Summary We are seeking a highly analytical and detail-oriented Data Analyst with ...

Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the ... Excellent prioritization, planning, organization and time management skills * Proven ability to ...

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk ...

Manager, Data Science Location: Wilmington, DE (Hybrid) We are seeking a Manager to join our Data ... Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk ...

Navigate and publish BI dashboards/reports, provide access, and manage permissions * Use knowledge ... Experience using Structured Query Language (SQL) to analyze, extract, and transform data IDEAL ...

Navigate and publish BI dashboards/reports, provide access, and manage permissions * Use knowledge ... Experience using Structured Query Language (SQL) to analyze, extract, and transform data IDEAL ...

Exceptional time management, organizational skills, and effective prioritization skills * Ability to prioritize and work well under tight deadlines * High-level analytical skills with attention to ...

Exceptional time management, organizational skills, and effective prioritization skills * Ability to prioritize and work well under tight deadlines * High-level analytical skills with attention to ...

• Job Profile Data Quality Lead Analyst - C13 • The Information Services Group (ISG) within ... data management team. ISG is a service-centric organization focused on digitizing ICGs products ...

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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.

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 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.
What cities in Delaware are hiring for Manager Data Analyst Travel jobs? Cities in Delaware with the most Manager Data Analyst Travel job openings:

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Job Title: Data Analyst (Reference Data Management - RDM)

Location: Wilmington, DE (Onsite)
Employment Type: Full-Time


Position Summary

We are seeking a highly analytical and detail-oriented Data Analyst with Reference Data Management (RDM) experience to join our team in Wilmington, DE. The ideal candidate will have strong expertise in data analysis, data quality, governance, and reference/master data management within financial services, banking, insurance, or large enterprise environments. The role will focus on ensuring the accuracy, consistency, and integrity of enterprise reference data while supporting business stakeholders through insightful analysis and reporting.


Key Responsibilities
  • Analyze, validate, and maintain reference data across multiple business applications and enterprise platforms.
  • Perform data profiling, cleansing, reconciliation, and quality assessments.
  • Partner with business users and data stewards to define and implement data quality rules.
  • Monitor data quality metrics and proactively identify data discrepancies.
  • Support Reference Data Management (RDM) initiatives, governance frameworks, and data lineage activities.
  • Develop and maintain SQL queries, reports, dashboards, and analytical models.
  • Conduct root cause analysis for data issues and recommend corrective actions.
  • Collaborate with technology teams during data migrations, system implementations, and data integration projects.
  • Document business requirements, data mappings, data definitions, and process workflows.
  • Support regulatory reporting, audit requests, and compliance initiatives.
  • Participate in Agile ceremonies and contribute to sprint planning, backlog refinement, and stakeholder discussions.
  • Assist in establishing best practices around data governance, metadata management, and data stewardship.

Required Qualifications
  • Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field.
  • 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management Analyst.
  • 2+ years of hands-on experience with Reference Data Management (RDM) or Master Data Management (MDM).
  • Strong SQL querying and data analysis skills.
  • Experience working with large datasets from multiple source systems.
  • Strong understanding of data governance, data quality, and data lifecycle management.
  • Experience with data mapping, reconciliation, and data lineage documentation.
  • Excellent problem-solving and analytical skills.
  • Strong stakeholder management and communication abilities.

Preferred Qualifications
  • Financial Services, Banking, Capital Markets, Insurance, or Wealth Management domain experience.
  • Experience with RDM/MDM tools such as:
    • Informatica MDM
    • GoldenSource
    • Alveo
    • Markit EDM
    • Reltio
    • Collibra
    • Ataccama
  • Experience with BI tools such as Power BI, Tableau, or Qlik.
  • Knowledge of ETL processes and data warehousing concepts.
  • Familiarity with Python, R, or data automation tools.
  • Experience working in an Agile/Scrum environment.

Technical Skills

Must Have

  • SQL
  • Data Analysis & Data Profiling
  • Reference Data Management (RDM)
  • Data Quality & Data Governance
  • Excel (Advanced)
  • Data Mapping & Reconciliation

Nice to Have

  • Power BI / Tableau
  • Python
  • Snowflake
  • Azure/AWS Data Services
  • Collibra / Informatica MDM
  • ETL Tools

Key Competencies
  • Analytical Thinking
  • Attention to Detail
  • Data Governance Mindset
  • Stakeholder Management
  • Problem Solving
  • Process Improvement
  • Effective Communication
  • Team Collaboration

Compensation & Benefits
  • Competitive Base Salary
  • Annual Bonus Eligibility
  • Medical, Dental, Vision Insurance
  • 401(k) with Company Match
  • Paid Time Off & Holidays
  • Career Growth Opportunities
  • Learning & Development Programs