Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Marriott Vacations Worldwide Data Analyst in Ciudad de Mexico, CP, Mexico

Position Summary

As a member of the professional staff, contributes general knowledge and skill in a discipline area (e.g. Accounting, Finance, Human Resources, Information Resources, Operations Planning & Support, Sales & Marketing) to support team and/or department objectives. Generally, works under close supervision or within well-established guidelines to complete routine tasks.

Specific Job Summary (describe the nature and purpose of the position)

Results-driven and detail-oriented Data Analyst to help unlock the full potential of our data and drive the success of our data analytics strategy. Is expected to work closely and collaborate with cross-functional teams.

Gathers business requirements and translates these into data requirements to help IT build robust and streamlined data pipelines. Provides data requirements for data ingestion, transformation, and scheduling to empower insightful business reporting and advanced analytics readiness.

In addition, validates and tests the accuracy, consistency, and readiness of the data and runs analyses to ensure the data meets the business needs. Moreover, builds intuitive data models and semantic layers and develops user-friendly enterprise reports.

Expected Contributions

Option 1

  • Performs the following types of basic tasks: analysis, auditing, budgeting, forecasting, programming, research, report generation, and software integration.

  • Responds to, solves, and makes decisions on standard/routine business requests with limited risk.

  • Responsible for own work and contributing to team, department and/or business results. May direct work of non-management staff.

  • Assists more senior associates in achieving business results by:

  • utilizing technical knowledge and skills to enhance business processes.

  • establishing priorities for self and, where appropriate, others.

  • allocating own time effectively to meet goals in a manner that does not disadvantage other associates or groups.

  • contributing to department/unit budget as appropriate (i.e., input, following guidelines, etc).

  • Demonstrates an awareness of personal strengths and areas for improvement and acts independently to improve and increase skills and knowledge.

  • Performs other duties as appropriate.

Specific Expected Contributions (including duties and responsibilities)

  • Helps determine and assess data integration requirements for the enterprise data warehouse and communicates these requirements to IT

  • Collaborates with business partners to translate reporting and advanced analytics requirements into data pipeline and modeling requirements

  • Creates and optimizes data models and semantic layers that facilitate seamless and self-service data exploration and analysis

  • Applies data wrangling techniques to ensure data accuracy, consistency, and readiness for reporting and advanced analytics applications

  • Designs, develops, and maintains reports and dashboards using data visualization tools (e.g. Power BI, Cognos, Tableau, Looker) to help analyze complex datasets and enable actionable insights and recommendations

  • Identifies redundant reporting and opportunities for consolidation

  • Elaborates clear and straightforward technical documentation

  • Guides and promotes self-service data accessibility within the organization

Candidate Profile

Option 1

Successful candidates should possess knowledge and experience and demonstrate strong leadership and relationship skills as follows:

Usually, a professional position with general knowledge in a discipline (i.e., Accounting, Human Resources, Information Resources). College degree and/or related experience typically required.

Specific Candidate Profile (the education, experience, skills, and attributes that are important for this position)

  • Bachelor’s degree in Computer Science, Data and Information Systems, or a related field

  • Minimum 2+ years of experience as a Data Analytics Engineer or similar role in a data-driven environment

  • Work experience translating business requirements to data requirements

  • Strong proficiency in programming languages such as SQL and Python

  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)

  • Solid understanding of data modeling principles and best practices

  • Experience with reporting and data visualization tools (e.g. Power BI, Cognos, Tableau, Looker) and UX fundamentals

  • Preferred experience working with Agile methodologies

  • Upper-Intermediate / Advanced level of English (B2/C1). The candidate will be expected to have advanced and in-depth verbal and written discussions with English speakers on a daily basis

  • Strong collaborative and communications skills

  • Previous working experience with data pipeline orchestration tools and distributed data processing frameworks is a plus

Marriott Vacations Worldwide is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture

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