Informacje o stanowisku

technologies-expected :

• SQL
• Python
• Tableau
• Azure
• Google Cloud Platform
• C#
• ASP.NET
• JavaScript

• 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

• 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):
• Masters 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.

• 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

Rzeszów - Oferty pracy w okolicznych lokalizacjach