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Job description
Overview
Placement Type:
Temporary
Salary:
$ Hourly
W2
Start Date:
Sep 15, 2026
Duration:
Approx 6 Month Assignment
Join a pioneering company at the forefront of autonomous technology, where innovation drives the future of transportation. This organization is dedicated to building revolutionary solutions that will redefine mobility and logistics. As an integral partner, Aquent Talent is seeking passionate individuals to contribute to this transformative mission, empowering you to make a significant impact on groundbreaking projects.
Are you ready to shape the future of operational excellence? We are seeking a highly analytical and driven individual to step into a pivotal role where your expertise will directly translate into tangible improvements for operational readiness, staffing strategies, and overall service performance. In this dynamic position, you won't just analyze data; you'll transform it into strategic insights that optimize resource allocation and drive efficiency across the organization. Your contributions will be critical in ensuring seamless operations and accelerating the deployment of cutting-edge autonomous solutions.
What You'll Do
Develop sophisticated analytical models that translate operational demand forecasts into precise resource and staffing requirements. Apply advanced techniques like queueing and capacity models (e.g., Erlang) to estimate staffing needs, predict service levels, and evaluate performance under diverse demand scenarios. Support comprehensive capacity planning by analyzing demand patterns, service targets, and operational throughput across various service delivery and testing environments.
Dive deep into operational and workforce-related datasets to uncover critical trends, identify staffing gaps, and pinpoint opportunities for performance enhancement. Deliver insightful reports and build intuitive dashboards that provide clear visibility into key operational metrics, empowering data-driven decision-making.
Provide essential analytical support to operational leadership. Develop robust models, create impactful dashboards, and generate actionable insights that directly inform staffing strategies, enhance operational readiness, and optimize capacity planning. Build and maintain dashboards that meticulously track key operational performance indicators, staffing coverage, and service performance.
Leverage your strong proficiency in SQL and Python (or equivalent tools) to expertly extract, clean, and transform large operational datasets from diverse systems. Uphold the highest standards of data accuracy and consistency across all reporting and analytical models.
Proactively identify patterns, uncover inefficiencies, and pinpoint opportunities within operational data. Deliver incisive analysis that supports improved staffing allocation, optimizes operational coverage, and elevates overall service performance.
Conduct targeted analyses to support critical operational initiatives, rigorously evaluate various staffing scenarios, and provide definitive answers to key business questions related to operational performance.
Must-Have Qualifications
Education: Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Economics, Engineering, or a related analytical field.
Experience: 3-5 years of experience in data analysis, operations analytics, or similar analytical roles.
Technical Skills:
Strong proficiency in SQL for data extraction, transformation, and analysis.
Demonstrated experience using Python and Pandas for data manipulation and analysis.
Proven experience building dashboards with visualization tools such as Looker, Tableau, or Databricks.
Skills & Competencies:
A strong analytical mindset with a dedicated focus on solving complex operational problems through data-driven approaches.
Exceptional ability to translate complex datasets into clear, actionable insights that drive business decisions.
Proven capability to build robust analytical models that effectively support operational planning and capacity analysis.
Meticulous attention to detail and an unwavering commitment to data accuracy and integrity.
Excellent communication skills, with the ability to articulate technical concepts clearly and concisely to diverse, non-technical audiences.
Nice-to-Have Qualifications
Experience working with Workforce Management platforms.
Experience building sophisticated staffing models, capacity planning models, or operational forecasting models.
Experience working with large-scale operational or service-based environments.
Familiarity with fleet operations, service operations, or contact center environments.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.