Associate Data Science Specialist
1 week ago
It's fun to work in a company where people truly BELIEVE in what they are doing
We're committed to bringing passion and customer focus to the business.
Develop Predictive Modelling:
- To collect, analyze, and interpret large data sets by using analytics, statistics and programming skills.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences and other business outcomes.
- Mine and analyze data from organization databases to drive optimization and improvement of business strategies.
- Extending organization's data with third party sources of information when needed.
- Develop and maintain optimal data pipeline architecture especially for report, business intelligence (BI) dashboard.
- Work together with Data Engineer to create report and business intelligence (BI) dashboard need by organization.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the upper management, and data owner to assist with data-related technical issues and support their data needs.
- Develop data tools for analytics in building and optimizing reporting services. Use statistical computer languages (e.g. R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Work with Database Administrator, Data Engineer and Software Engineer team to strive for greater functionality in data systems. Provide excellent service towards users, in relation to database authorization, change and withdrawal (web and workgroup). Adapt conceptual and logical data models to enterprise model. Develop and validate conceptual and logical data models with clients.
- Analyze database relative to other databases.
- Provide excellent service towards user, in relation to the service request, data and information update in Bina Nusantara business units/ divisions especially related with reporting and BI dashboard.
- Design and apply procedures related to BI dashboard request and also related to database in relation to data authorization, change and withdrawal.
- Monitor and analyze data synchronization with ETL (Extract Transform Load) tools across database in BINUS. Ensure all the data complies with legal regulations.
- Coordinate with other IT departments to maintain good data center.
- Monitor the quality of data analyst processes. Ensure data security and accuracy in all BINUS business unit/division. Improve data information and request by using Data Warehouse (DWH), Big Data and Business Intelligence (BI). Maintain the performance and quality of DWH, Big Data and BI.
- Analyze user's need and automated data request service by using reporting application (data access).
Provide Data Assurance:
- Provide clear documentation in every data model, predictive model and BI dashboard created.
- Gather and document security requirements. Implement and enforce security requirements.
- Maintain and improve security in response to industry developments and user experience.
- Protect corporate data.
Provide Database Client and User Services:
- Provide and support development and production environments.
- Plan and deliver user training.
- Adapt existing structure to new business environments.
Supporting activities for management:
- Create activities report.
- Perform activities related to Quality System.
- Organize and submit monthly report to IT Enterprise Data Management Manager.
- Provide improvement ideas in relation to data, system and applications for IT Enterprise Data Management Manager. Partner with internal and/ or external parties in running the function/ tasks in Bina Nusantara.
- Perform other activities as instructed by direct supervisor.
General Requirement: Bachelor's degree in Computer Studies
Work Exposure/ Experience:
- Minimum 4 years working experience in Information Technology, in particular in in particular in database and application Experienced in SQL programming, Big Data, DWH,data analystic
Specialist Requirement:
- Obtain National (local) certification listed on the list of Certification for IT Specialist.
- Validity of required certifications should refer to the list of Certification for IT Specialist.
Special Skill :
- Database Management System (DBMS) Web Services Administration (system and application)
- Strong problem-solving skills with an emphasis on product development
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us
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