À propos
The Big Data Analyst II employs big data technologies and analytics techniques to process and analyze large amounts of data to derive insights and predictions that help improve business decisions. In order to do this, the Big Data Analyst II must be able to organize data, cleanse and normalize raw data, process data for statistical modeling using computers, and identify relationships and trends in data. The Big Data Analyst II must have a strong educational foundation in data analytics, basic machine learning, database technology, and computer programming related to basic data processing/visualization. The Big Data Analyst II must be able to think analytically, and must be detail oriented. Also, the Big Data Analyst II should be able to effectively communicate with supervisors and business leaders who may not have strong data analytics or statistical background. The Big Data Analyst II will usually work independently with guidance provided by the senior team members Duties and Responsibilities
30% -Data Analysis and Problem Solving : Use advanced analytics techniques to process and analyze large amounts of data to identify trends and relationships within the data and draw actionable insights. This requires being able to prepare data by organizing, adjusting and weighting the raw data, applying advanced analytics approaches, and processing large amounts of data using computers. 20% -Support and Testing : Use skills to validate the functionality of software solutions and provide necessary support to end-users to resolve different operational issues. 10% -Communication : Work with different teams (IT managers, Executives, Business Partners) to better understand the business and the challenges. Clearly articulate discoveries and insights and challenges with management. Troubleshoot medium complexity problems. 10% -Mentoring Junior Employees : Be actively involved with the training, assistance, and development of less experienced Big Data Analysts. 30% -Software Application Development : Use computer programming languages to automate, test, execute, debug, and deploy solutions. Education
Bachelors Degree in Statistics, Computer Science, Applied Mathematics, Data Science, MIS, Management, Operations Research, Industrial Engineering or equivalent Work Experience
Database technology (Oracle, DB2, Bigquery, Hadoop, Impala, SQL, etc.)- 2-4 years’ experience Data Cleaning, Manipulation, Analysis, and Reporting- 2-4 years’ experience Data visualization (JavaScript, tableau, gnuplot, matplotlib, etc)- 2-4 years’ experience Programming Language (Python, JavaScript, Java, C, etc.)- 1-3 years’ experience Machine Learning/Applied Statistics/Artificial Intelligence- 1-3 years’ experience Knowledge, Skills, and Abilities
World League IT Competencies Business Impact: Intermediate Business Domain knowledge. Strategic Architect: Intermediate level understanding of technical area relevant to role. Influential Networker: Influential within team. Governance & Protection: Follows Risk management protocols. Culture of Innovation: Identifies opportunities for improvement within work area. Leadership 2020 Competencies Intellectual Strength: Demonstrated success working with abstract requirements. Intermediate ability to identify issues/gaps at early stage. Intermediate problem solving. Demonstrated ability to apply concepts appropriately. Agility: Ability to respond to customer needs with speed and accuracy. Willingness and eager to learn; is curious. Excellent Execution: Ability to follow standards & directions. Ability to multi-task and prioritize work. Accountable for personal results and teamwork. Asks for guidance as needed. Leadership: Sense of ownership & commitment. Values diverse perspectives. Has a high standard for own work and result. Connecting: Effective verbal and written communication skills. Ability to communicate commitment and work collaboratively. Partnering: Basic situation analysis combining the technical and business point of view.
Compétences linguistiques
- English
Avis aux utilisateurs
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