Job Description
As our new colleague, you will be in charge with:
- Interpreting data, analyzing results using statistical techniques.
- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
- Creating dashboards and synthesis.
- Global role; Member of Factory digitization COE. In charge of data analytics and visualization in discrete manufacturing covering entire Garrett manufacturing sites across the globe.
- The position requires team work within IT, Data scientist, Plant, COE teams
- Extract data from enterprise systems, PLCs, ad-hoc databases thru scripts at pre-determined frequency, normalizing data and staging appropriately for analytics.
- Drive standardization of data outputs from automated equipment/test stands by working with Engineering & Business; Master data management.
- Conducts and facilitates ( and educates and trains on ) analyses, issues identification, organizational risk assessment and decision-making process.
Education Level:
- Engineering Graduates / Post Graduates with 3-4 years of experience in data analytics and manufacturing
- Post Graduate in Statistics / Computer science will be added advantage
- University special certification program in Data Science, Big Data Analytics
Key Responsibilities
- Use statistical methods to analyze data and generate useful business reports.
- Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality.
- Benchmark and Industry Connect
Skills and Leadership Qualities
- Intermediate Statistical and Analytics tools knowledge and a passion for the automotive industry with Analytical and creative mind.
- Prepare reports using various business analytics reporting tools like Microsoft Power BI/ SAS Visual analytics tool.
- Basic programming in Python, R,Java, SQL DB
- Prepare and present data in the right form (dashboard and other visualizations like graphs, tables) for decision-making and problem-solving.
- Experience in data models and reporting.
- An analytical mind and inclination for problem-solving
- Multinational environment seen as plus/ dealing with complex environments and matrix reporting structure;
- Project management skills tool assess task effort, manage priorities and report status.
- Interpersonal skills and working with global diverse groups internal and external customers
- Actively pursues personal learning by continuously updating knowledge, skills, and abilities; pursues stretch assignments to build own capabilities.
- Strong verbal and written communication skills.
- Fluency in English(mandatory) and other languages (nice to have).
Travel: 20 % of the Time
