Senior Analyst - Chicago, United States - Ual-pro

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    Description
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    There's never been a more exciting time to join United Airlines. We're on a path towards becoming the best airline in the history of aviation.

    Our shared purpose – Connecting People, Uniting the World – is about more than getting people from one place to another.

    It also means that as a global company that operates in hundreds of locations around the world with millions of customers and tens of thousands of employees, we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly, and we can only do that with a truly diverse and inclusive workforce.

    And we're growing – in the years ahead, we'll hire tens of thousands of people across every area of the airline.

    Our careers include a competitive benefits package aimed at keeping you happy, healthy and well-traveled.

    From employee-run "Business Resource Group" communities to world-class benefits like parental leave, 401k and privileges like space available travel, United is truly a one-of-a-kind place to work.

    Are you ready to travel the world?

    At United, we have some of the best aircraft in the world.

    Our Technical Operations team is full of aircraft maintenance technicians, engineers, planners, ground equipment and facilities professionals, and supply chain teams that help make sure they're well taken care of and ready to get our customers to their desired destinations.

    If you're ready to work on our planes, join our Tech Ops experts and help keep our fleet in tip-top shape.


    Key Responsibilities:


    The Senior Analyst - Forecasting Modeling is responsible for the planning and execution of spare parts inventory forecasting activities supporting the United Airlines Supply Chain organization.

    This position will interact with multiple supply chain areas. This senior analyst will support on the development and maintenance of the various inventory forecasting processes and analytical tools.

    This role will interact very closely with the Data Science team and be responsible for the execution of scheduled and ad-hoc forecasting models.

    Maintain, enhance and otherwise support the models for the spare parts inventory forecast and ensure they continue to stay valuable and relevant

    Support strategic Supply Chain initiatives with analysis accompanied by actionable recommendations

    Collaborate with team members (both frontline and executive-level) to identify processes, strategies or decisions that can be improved by using analytic insight

    Monitor forecasting model performance metrics and identify operational and financial improvement opportunities

    Individually develop and execute toward project plans

    Continuous improvement of the forecasting tools

    Qualifications:

    United values diverse experiences, perspectives, and we encourage everyone who meets the minimum qualifications to apply. While having the "desired" qualifications make for a stronger candidate, we encourage applicants who may not feel they check ALL of those boxes We are always looking for individuals who will bring something new to the table

    What's needed to succeed (Minimum Qualifications):
    Bachelor's degree in a quantitative field such as math, statistics, operations research or engineering

    Two to five years of experience in an analytical role

    Demonstrated ability to develop forecasting models

    Familiarity with statistical forecasting and/or machine learning modeling techniques (i.e., ARIMA, Exponential Smoothing, Croston's method)

    Familiarity with forecasting performance metrics and model evaluation/comparison (i.e. MPE, MAPE, WMAPE)

    Familiarity with relational database models and SQL

    Time-series forecasting or machine learning modeling skills

    Executive presence (written and verbal communication)

    Ability to communicate and visualize complex analyses to specific audiences at the appropriate level of abstraction

    Ability to query and manipulate data in languages such as SQL, Python, R

    Ability to develop phased implementation and execution plans

    Ability to identify improvement opportunities in existing processes

    Must be legally authorized to work in the United States for any employer without sponsorship

    Successful completion of interview required to meet job qualification

    Reliable, punctual attendance is an essential function of the position

    What will help you propel from the pack (Preferred Qualifications):

    Master's degree in a quantitative field such as math, statistics, data science, machine learning, operations research or MBA

    Six Sigma Black Belt certification and/or Project management experience

    Specialization in Supply Chain Management, Applied Statistics, Forecasting, or Data Science

    Previous experience with supply chain forecasting capabilities, operations research, industrial engineering or related field involving solving complex business problems

    Two to five years of supply chain or operations experience

    Baseline understanding of supply chain functions including sourcing/procurement, vendor management, inventory planning, warehousing, and logistics

    Familiarity with maintenance, repair, and overhaul (MRO) functions

    Familiarity with the airline industry

    Experience using traditional statistical and industrial engineering techniques (e.g. inference testing, statistical process control, economic order model and process flow analysis)

    Familiarity with spare parts demand forecasting techniques

    Familiarity with supply chain and operations planning

    Basic experience manipulating datasets using big data technologies

    Familiarity with Simulation techniques (i.e. Monte Carlo, Discrete Event Simulation)

    Familiarity with optimization modeling tools and techniques

    United Airlines is an equal opportunity employer.

    United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions.

    Please contact to request accommodation.

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