DE Jobs

Search from over 2 Million Available Jobs, No Extra Steps, No Extra Forms, Just DirectEmployers

Job Information

The Boeing Company Reliability & Data Analysis Engineer in Rzeszów, Poland

Job Description

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

The Boeing Poland is looking for a Reliability & Data Analysis Engineer to join the Customer Support Analytics team based in Rzeszów, Poland.

The person in this role should have skills and experience in fields such as statistical analysis, data modeling, text analytics, and natural language processing . These skills will be used to solve challenging problems centered on internal engineering activity and in-service fleet performance. The resulting analytics work products will help cross-functional teams make data driven decisions that improve business results and increase customer satisfaction.

Position Responsibilities:

  • General Analytical Skills: Skill and ability to: collect, organize, synthesize, and analyze data; summarize findings; develop conclusions and recommendations from appropriate data sources

  • Analyze & Interpret Engr Data: Ability to analyze problems (troubleshooting, fault isolation, repair, modification, or redesign) of assigned end items to support the design, development and modification of company products using knowledge of engineering disciplines

  • Modifies and analyzes standardized data sets using analytics techniques such as regression analysis, statistical analysis, mathematical optimization, and simulation ; identifies modeling attributes and parameters; applies algorithms to perform descriptive, diagnostic, predictive or prescriptive analysis

  • Investigates data characteristics, complexity, quality and meaning; develops visualizations and summarizations to define performance and identify trends, outliers, and drivers

  • Prepares data for analysis , e.g., cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data

  • Identifies best-fit data analytics methodology (data aggregation, multivariate statistics, model optimization) given the data and business applications

  • Performs standard procedures in evaluation and verification of correctness and performance of models and analysis

  • Supports determination of analysis requirements given business objectives

  • Supports determination of decision support needs , matches data to requirements and performance metrics to support analysis

  • Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tool

This position is expected to be 100% onsite. The selected candidate will be required to work onsite in Rzeszów, Poland.

Employer will not sponsor applicants for employment visa status.

Basic Qualifications (Required Skills/Experience):

  • Bachelor of Science degree or higher or equivalent from an accredited course of study in data analytics: statistics, mathematics, computer science, engineering, or related field of studies

  • 2+ years of experience in data analytics

  • 2+ years of experience in database management, programming, statistical modeling ( SQL, R, Python, JMP, Tableau, etc.)

  • 2+ years of experience in performing statistical analysis

  • Proficient in both verbal and written communications skills in the English language

  • Existing rights to work in Poland

Preferred Qualifications (Desired Skills/Experience):

  • Master's degree in data analytics, applied statistics, mathematics, or other analytics oriented scientific field of study

  • Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, etc.

  • Good organizational, interpersonal, and problem-solving skills.

  • Ability to adjust priorities to multiple demands and unanticipated events

  • Highly motivated and must work well in a team environment

  • The ability to communicate effectively, both verbally and in writing

  • Experience in commercial aviation business or engineering

  • Familiarity with languages like C# / ASP.NET Core and JavaScript, which can enhance your ability to contribute to software development tasks

Typical Education & Experience:

Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master). In the USA, ABET accreditation is the preferred, although not required, accreditation standard.

Relocation: This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

At Boeing, we care deeply about the wellbeing of every employee. Some of the benefits open to you include:

  • Market competitive salary and incentive/bonus program

  • Flexible working hours

  • Additional paid days off for Winter Break (December 24th-January 1st)

  • Professional skills development via educational assistance program and certification

  • Medical Plan (Medicover/LuxMed) and life insurance (Warta S.A.) for you and your Family

  • Employee Pension Scheme (PPE)

  • Benefit from Employee Recognition Program

  • Enjoy and build a friendly and inclusive atmosphere in workplace

  • Cooperate and exchange knowledge with world class global engineering team

Important information regarding this requisition: This requisition is for a locally hired position in POLAND. Benefits and pay are determined at the local level and are not part of Boeing U.S. based payroll.

On Saturday, 12 March 2022 , the President of the Republic of Poland signed a law to assist citizens of Ukraine in connection with the armed conflict in that country. As part of this law, Ukrainian refugees in Poland benefit from access to the Polish labor market. Boeing welcomes applications from Ukrainian refugees who are seeking employment in Poland.

Applications for this position will be accepted through June , 30th 2024 .

Equal Opportunity Employer:

We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.

We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 (https://www.thevaluable500.com/) and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

DirectEmployers