Principal Specialist, Workforce Intelligence Analyst (Remote)

RTX•US-MO-REMOTE, MO

2d•$86,800 - $165,200•Remote

About The Position

We are seeking a Workforce Intelligence Analyst (P3) to support our Pratt & Whitney Workforce Intelligence Team. In this role, your work will strengthen the foundation of our analytics ecosystem - ensuring our team can deliver faster insights, consistent tools, and scalable data solutions to our business partners with an eye for efficiency, scalability, and reliability. As part of our agile analytics & rapid response ecosystem, you will play a key role in building and maintaining the data pipelines, tools, and dashboards that power workforce insights across our organization and for our team to meet customer needs while also undertaking workforce analysis efforts. The analyst will partner with team members and stakeholders to translate business questions into clear data outputs, deliver quick‑turn analyses, and ensure our core analytics products remain accurate, scalable, and aligned to business needs. This role will balance building/delivering tailored solutions for our Pratt & Whitney HR team and business and integration of enterprise resources from our broader WFI organization. This position is ideal for someone with strong technical and analytical skills who enjoys hands‑on data work, continuous improvement, and supporting teammates with timely, high‑quality data solutions - and someone who may want to grow into a customer‑facing consulting role focused on solving workforce challenges through the power of data.

Requirements

A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience
Experience in analytics, business intelligence, HR technology, or a related data‑oriented role; experience working with people data is preferred.
Hands‑on experience with SQL, Alteryx, Power BI, Power Query, or similar BI and data development tools.
Strong understanding of data pipelines, ETL/ELT workflows, and data quality concepts.
Ability to interpret business questions and translate them into data requirements, analysis steps, and clear outputs.

Nice To Haves

Experience in HR, workforce analytics, talent acquisition, organizational effectiveness, or related domains.
Experience building or supporting dashboards, data models, or automated reporting solutions in an enterprise environment.
Familiarity with statistics, analytical methodologies, or data engineering fundamentals.
Ability to manage multiple priorities and deliver high‑quality work in a fast‑paced environment.
Strong demonstration of communication skills and comfort working with cross‑functional teams.

Responsibilities

Build, maintain, and enhance data pipelines and core tools using technologies such as SQL, Power Query, Alteryx, Snowflake Power BI, and related data platforms.
Support the development and iteration of dashboards, reports, and data models that deliver reliable operational and strategic workforce insights.
Ensure data quality, performance, and stability of existing analytics products through routine monitoring, troubleshooting, and improvement.
Collaborate with senior team members to prototype new analytics solutions, validate requirements, and contribute to minimum viable product development.
Collaborate, prioritize and integrate our unique business needs within the broader portfolio of WFI solutions and opportunities.
Serve as the team’s rapid‑response lead, providing timely, accurate data and quick‑turn analyses for emergent requests from HR and business stakeholders.
Translate short‑notice requests into clear analytical tasks and deliver outputs that are concise, actionable, and grounded in data quality standards.
Standardize and systematize recurring ad hoc requests where appropriate to enable repeatability and scale.
Support broader Workforce Intelligence initiatives by providing data, refreshes, and analysis for areas such as workforce planning, hiring trends, talent flows, and organizational health as needed.
Apply best practices in data visualization and storytelling to make insights intuitive and accessible for non‑technical audiences.
Document processes, data logic, and tool designs to support knowledge transfer and long‑term sustainability.