Tuyển dụng Data Manager (Database, SQL)
Lương: Xem mức lương Hạn: 23/07/2024Mô tả công việc
- Create and enforce policies for effective data management
- Formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data.
- Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects
- Establish rules and procedures for data sharing with upper management, external stakeholders etc
- Support others in the daily use of data systems and ensure adherence to legal and company standards
- Assist with reports and data extraction when needed
- Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.)
- Ensure digital databases and archives are protected from security breaches and data losses
- Troubleshoot data-related problems and authorize maintenance or modifications
Yêu cầu kinh nghiệm
Must to have :
- +5 years of experience as Data Manager, manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
- Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, , etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Nice to have :
- Excellent understanding of data administration and management functions (collection, analysis, distribution etc.)
- Familiarity with modern database and information system technologies.
- An analytical mindset with problem-solving skills.
- Excellent communication and collaboration skills.
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