Sr. Analyst, Operations Planning (0024-0013)

Set and drive strategies to transform operations planning business processes, focusing on schedule reliability, cost reduction and optimization; Influence leaders, squads and peers on strategy, technical feasibilities, DevOps best practices, software performance optimizations, roadmap items, OKRs and upcoming releases; Collaborate with internal teams, and Operations Research, IT and Network Planning teams to build the next generation of planning tools. Plan, organize, and direct the design, development, and implementation of enterprise planning products using cloud technologies, advanced analytics, and efficient workflow design; Design and optimize operational planning processes to improve operational performance; Design experiments, conduct feasibility studies, systems analysis, and technical economic assessments of various schedule constraints and operational standards; Mine, model, analyze, and evaluate operational data to identify root cause factors impacting network reliability; Play a key role in solving complex science problems which contribute to development of network schedules and operations plans; Coordinate process engineering projects across departments. Work closely with cross-functional teams to implement improvements; Contribute to the technical architecture and design of products by collaborating with engineering teams to ensure alignment with enterprise system architecture and cloud best practices; Collaborate with operational planning departments across divisions (Airport planning, Technical Operations/Maintenance, Integrated Operations Center Planning, Crew Planning), Operational leadership, and Network Planning in the development of future schedules and schedule solutions; Utilize technical analytics including A/B testing, product architecture, continuous deployment process, DevOps practices, data models and analytics, querying languages, tools supporting automation/metrics and other technologies in support of improved operational performance; Understand the budgetary implications and related organizational constraints in factoring areas of focus; Practice agility in discovering and delivering value continuously.

Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F.
Job Location: Fort Worth, TX

Education and Experience Requirements

Master’s degree in Data Science, Business Analytics, or related field, plus 2 years of experience as Analyst, Product Owner, Specialist, Consultant, or any occupation in which the required experience was gained, and demonstrated experience in: Python Programming; SQL Programming; Airline Operations and Schedule Planning; Airline business model; Machine Learning and statistical Forecast Models for Airlines; Azure Databricks for automating workflows and data pipelines; Azure Data Factory; Azure DevOps; Tableau Dashboards for tracking performance; Test Driven Development; A/B Testing; Software Development; Data Analysis; Data Engineering.
Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #0024-0013 in the subject line.

Thank you.