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Mô Tả Công Việc
- Collection and sorting of data from various sources;
- Structure unformatted data and interpret results;
- Prepare data presentations after necessary data processing;
- Make recommendations to adapt to existing business strategies;
- Finding authentic data sources;
- Present and preparing charts and other consumable data in a visual form;
- Build algorithms and machine learning models;
- Correlating data to form actionable insights;
- Combine models through ensemble modeling;
- Build predictive models;
- Enhance data collection process;
- Develop, implement and maintain databases;
- Develop A/B testing framework to test data quality;
- Automate data collection processes;
- Filter data and create valuable reports.
Yêu Cầu Công Việc
1. Education:
- Either a Bachelor’s degree in Mathematics, Data Science, Statistics, and Economics, or related field or experience in the industry or both;
- Master degree in a similar discipline preferred;
- Prior demonstrated experience of at least 3 to 5 years as a Data Analyst or Business Data Analyst or Data Scientist;
- Experience in data mining.
2. Experiences:
- Strong mathematical, analytical and problem-solving skills;
- Familiarity with computer languages such as C++, Java, SQL;
- Knowledge of R, Python and Scala;
- Awareness of software development principles;
- Knowledge of advanced statistical techniques such as regression and statistical tests;
- Experience working with web services S3, Redshift, DigitalOcean;
- Ability to analyse data from third party providers such as Google Analytics, Site Catalyst, Adwords, Facebook Insights etc;
- Knowledge of operations research and machine learning;
- Use of business intelligence tools such as Tableau, and data frameworks like;
- Knowledge of cloud technologies such as AWS or My SQL;
- Understand ETL frameworks;
- Experience with data models and report packages;
- Adept at report writing, queries, and present findings;
- Experience with social media analytics, tech analytics and data mining;
- Knowledge of the various industry practices;
- Meticulous and diligent attributes.
3. Skills:
- Excellent people and managerial skills;
- Excellent communication and interpersonal skills;
- Ability to cope up with professionalism and integrity;
- Work in cross-functional teams to understand product improvements;
- Accuracy and attention to detail;
- Proven debugging and critical problems solving skills;
- Possess presentation skills - present complex ideas in a systematic manner;
- Drive to learn and pick up new skills.
4. Others:
- Observe and Analyse Trends;
- Collaborate and work with various team members;
- Work with raw data and structure it;
- Expert advice from professionals in the field and industry;
- Opportunity to manage time and multitask efficiently.
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