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Manager, Project Support - Strategic Operations

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: Hilton
Full Time position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City of Albany

*** The location for this position is virtual/remote***

This is your chance to be part of a Revenue Management Consolidated Center (RMCC) that is offering owned, managed, and franchised Hilton hotels world-class revenue management talent and tools. As a Manager, Project Support-Strategic Operations, you will support the team that's helping hotels grow market share and outperform competitors. On the Strategic Operations team reporting to the Senior Manager, Project Support, you will work on projects including developing analytics data products and designing performance dashboards.

HOW

WE WILL SUPPORT YOU

Hilton is proud to support the mental and physical wellbeing of all Team Members so they can Thrive personally and professionally in a diverse and inclusive environment, thanks to programs and benefits such as:

  • Go Hilton travel program: 110 nights of discounted travel with room rates as low as $40/night
  • Hilton Shares:
    Our employee stock purchase program (ESPP) - you can purchase Hilton shares at a 15 percent discount
  • Paid parental leave for eligible Team Members, including partners and adoptive parents
  • Mental health resources including free counseling through our Employee Assistance Program
  • Paid Time Off (PTO)
  • Learn more about the rest of our benefits ()

At Hilton, we believe every Team Member is a leader. We are committed to offering leadership development opportunities and programs through every step of a Team Member’s career journey and at every level, both in our hotels and across corporate.

Available benefits may vary depending upon terms and conditions of employment and are subject to the terms and conditions of the plans.

HOW YOU WILL MAKE AN IMPACT

Your role is important and below are some of the fundamental job duties that make your work unique.

What your day-to-day will be like:
  • Develop Python-based Extract, Transform, Load (ETL) pipelines to create reports and tools
  • Author complex SQL queries and stored procedures for data extraction, aggregation, and reporting
  • Build Excel-based financial and operational tools using VBA (macros, custom functions, Pivot Table automation, Power Query integration)
  • Integrate with RESTful APIs, managing secure authentication and credential storage (e.g., keyring)
  • Profile pipeline performance—optimize Python code (cProfile) and SQL execution plans
  • Document ETL processes, data models, and maintain a centralized data catalog
How you will collaborate with others:
  • Partner with RMCC teams, Analytics, BI, and Commercial Services teams to translate use cases into scalable data products
  • Mentor junior analysts and developers in Python, SQL, and VBA best practices; lead knowledge-sharing workshops
  • Provide strategic advisory to business and technical partners on analytics best practices and data-product adoption
  • Collaborate with partners to define and measure performance metrics and evaluate data-product impact
What projects you will take ownership of:
  • Architect performance‑outlook dashboards and self‑service reporting tools that surface revenue and commercial trends
  • Develop CI/CD pipelines for automated testing and deployment of analytics data products.
  • Design data models (star/snowflake schemas) to support reporting
  • Ensure compliance with security and data‑governance policies, including secure credential management and access controls
  • Own and maintain project artifacts in Git Lab, including housing SQL queries, data models, and supporting documentation using version control best practices to enable collaboration, reuse, and scalable analytics delivery
WHY YOU'LL BE A GREAT FIT You have these minimum qualifications:
  • Five (5) years professional experience in analytics/data‑engineering roles
  • Experience authoring complex SQL (Redshift, SQL Server, MySQL) and stored procedures
  • Three (3) years coding development experience (macros, automation, Pivot Tables)
  • Proficient in Python (ETL frameworks, pandas, Num Py) and advanced Excel (Power Query, functions)
  • Demonstrated experience in data storytelling, including leading discovery with cross‑functional teams to understand needs, translating those needs into clear narratives, and delivering storytelling‑driven dashboards that improve decision‑making and…
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