Objective of job
Data Value and Platform team is responsible for discovering business insights with data value and operationalizing China BigData Platform. We are enabling our internal customers by coming up data capabilities to further empower data-driven decision making in daily business operation. As a solid foundation, we are also keeping the Datalake, the Data Warehouses and all big data solution stacks running stable and intuitive to use.
Within this setup we are looking for a Data & Analytics Developer to
•Engage business stakeholders to analyse, design and develop business intelligent reports
•Actively explore advanced analytics use cases with agile and product-oreintation mindset
•Be able to lead discussion with business to demonstrate the insights from data
•Experience in automotive data domains with data warehouse modernization & data mart layers
•Manage and design data-driven experiments by collecting relevant data from various sources with proven results
•Use statistics and machine learning methods to discover hidden patterns and information in the datasets for prediction
All these insights help in growing the business and decision making.

Job designation
•Data & Analytics Developer
-Synthesizes business requirements and develops innovative analytics solutions that meet customer requirements
-Develops and manages project plans, test designs and other documents
-Maps data sources, documents data architecture, data interfaces, and data movement to have an accurate view of the larger data picture
-Responsible for the overall data warehouse and data analytics strategy within the organization
-Analyzes structural requirements and builds data pipeline and models for new software and data analytics applications
-Manipulates and analyzes complex, high-volume, high-dimensional data using data analysis techniques
-Works on data modelling, metric development, data prototyping, and insight generation using statistical techniques
-Uses machine learning algorithms, libraries and tools to build machine learning and statistical models
-Defines ways to capture the relevant data and pre-processes and cleans the data for analysis
-Deep dives into massive data sets to answer key business questions
-Performs analytics and visualization of datasets using data mining techniques
-Evaluation and recommendation of new data management and storage technologies and standards
•Management and leadership
-Able to manage and lead data projects with great team spirit.
-Implement projects according to project plan, time and budget and utilization of the agile scrum development model.
-Validation of deliverables, estimation, auality and time.
-Always able to drive result individually and cooperation with others