Sr Ground Support Data Consultant - HDQ

Southwest Airlines
Dallas, TX, United States
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$125,900.0 - $139,900.0
Working hours
Regular working hours
Languages
English

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Data Analysis Big Data Data Integrity Extract Transform Load (ETL) Data Transformation Python (Programming Language) Machine Learning Monte Carlo Methods Regression Analysis Office Suite
+8 more
SAS (Software) Service Design SQL Databases Tableau (Software) Statistics Packages Data Analytics Alteryx Amazon Redshift

Job description

Ready to lead datadriven innovation for Southwest’s Ground Operations? As a Senior Ground Support Data Consultant, you will lead the research and development of solutions that advance both departmental and enterprise strategicobjectives. You will partner across internal and external Teams to design and deliver datadriven strategies, combining analytics with insights gathered from frontline Employees. In this role, you will play a keypartin building new capabilities for Ground Support Equipment, driving groundbreaking analysis that enhances operational performance and supports smarter decisionmaking across the network., * Design, build, and maintain interactive dashboards or reports that provide real-time insights into key performance indicators (KPIs), operational metrics, staffing levels, financial outcomes, predictions, and trends; ensure data insights are presented in an actionable manner

  • Query complex data sets using AWS Redshift and SQL to develop operational models and analyses that provide insights into GSE performance and trends.
  • Extract, transform, structure and load (ETL) data from third-party sources through APIs using Python, Alteryx, and AWS ETL tools, ensuring data integrity, quality, and accessibility for further analysis
  • Build and maintain operational models to simulate scenarios, forecast performance, and assess potential risks and opportunities to support strategic decision-making.
  • Manage and lead cross-functional initiatives, facilitating meetings with key stakeholders across all levels to ensure alignment and project success.
  • Develop and implement statistical models to forecast performance, predict outcomes, and optimize resource allocation. Apply advanced techniques such as regression analysis, time-series forecasting, and Monte Carlo simulations to inform strategic decision-making.
  • Analyze operational and maintenance data to identify cost-saving opportunities. Use statistical insights to recommend changes that improve the Total Cost of Ownership (TCO) for key assets or resources.
  • Serve as a trusted advisor and thought leader within the organization, providing strategic insights and recommendations to optimize GSE operations.
  • Conduct scenario modeling and risk assessments to evaluate potential outcomes, inform mitigation strategies, and drive decisions that reduce downtime and operational risk.
  • Continuously evaluate and improve operational processes through data analysis and statistical insights, ensuring efficiency and effectiveness in day-to-day operations.
  • Clearly communicate project timelines, risks, issues, and key decisions to executives and senior management to ensure transparency and alignment.
  • May perform other job duties as directed by Employee’s Leaders

Requirements

  • Skilled and proficient in BI tools such as Tableau, and advanced skills with ETL tools like Alteryx.
  • Skilled and proficient with AWS Redshift, SQL, and querying large data sets
  • Skilled in using statistical tools such as Python, R, or SAS for advanced analysis and modeling
  • Ability to work with large datasets and conduct complex data transformations
  • Excellent analytical and problem-solving skills with attention to detail
  • Ability to communicate effectively with individuals and groups
  • Ability to translate complex data into actionable insights
  • Ability to assume a high level of responsibility and to provide direction in a cross-functional, team-oriented environment
  • Ability to work well under pressure while performing multiple concurrent tasks with frequent interruptions
  • Skilled in demonstrating initiative, entrepreneurialism, and creativity
  • Ability to view problems as an opportunity for improvement and demonstrate initiative
  • Ability to perform job functions independently with limited supervision

Education

  • Required: High School Diploma or GED

Experience

  • Expert-level experience, expansive and far-reaching knowledge in:
  • Asset lifecycle management and equipment reliability analysis.
  • Predictive maintenance strategies and machine learning models
  • Consulting, corporate strategy, technology, product, or service design
  • Meeting and workshop development and management, deck writing, storyboarding, inductive/deductive reasoning, interviewing, issue analysis, data analysis, process design, and change management
  • Preferred: Experience in Executive Deck Building
  • Preferred: Experience in Operations Analysis, * Ability to perform work duties from [limited space work station/desk/office area] for extended periods of time
  • Ability to communicate and interact with others in the English language to meet the demands of the job
  • Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job
  • Ability to be or remain stationary in a forward and downward position
  • Must be able to remain in a stationary seated position for under 50% of the time
  • Must be able to remain in a stationary upright position for under 50% of the time
  • Ability to traverse from one location to another (does not include travel to/from work), * Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines
  • Must be a U.S. citizen or have the authorization to work in the United States as defined by the Immigration Reform Act of 1986
  • Must be at least 18 years of age
  • Must be able to comply with Company attendance standards as described in established guidelines

Benefits & conditions

Competitive market salary from $125,900 per year to $139,900 per year* depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the Company.

Benefits you’ll love:

  • Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too)

  • Southwest will help fund your Retirement Savings Plan, which includes a dollar for-dollar 401(k) Company match contribution of up to 9.3% of your eligible earnings**

  • Potential for annual profit-sharing contribution in the Southwest Retirement Savings Plan-when Southwest profits, you profit***

  • Competitive health insurance for you and your eligible dependents

  • Southwest offers health plan coverage options that start from the very first day of employment. You’ll have 30 days to select and enroll in your health plan, and coverage will be retroactively available to your first day of employment.

  • Explore more benefits you’ll love: https://careers.southwestair.com/benefits

*Pay amount doesn’t guarantee employment for any particular period.

**401(k) Company match contributions are subject to the plan’s vesting schedule. Match contributions may vary based on the position.

*** Profit-sharing contributions are subject to the Retirement Savings Plan vesting schedule and are made at the discretion of the Company.

About the company

  • The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you wouldbe requiredto work from our Dallas, TX headquarters facility during business hours.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

4:13 min

Speaker background and Eurowings digital transformation context

Johannes Hansen · WWC 2023

3:19 min

Securing a strategic business seat for human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:53 min

Preparing highly scalable facial recognition for big data

Sefik Serengil · LIVE

Videos

See all

Related articles

See all