Data Scientist Associate
Indonesia · Posted 6 days ago
- Location
- Jakarta
- Work mode
- On-site
- Employment type
- Full-time
- Level
- Mid
- Compensation
- IDR 10.000.000/month
The Data Scientist Associate will analyze enterprise data, build dashboards and predictive models, and strengthen data quality across the organization. You will work closely with business users, Data Stewards, and Data Owners to translate business needs into practical analytical solutions.
Key ResponsibilitiesData Analytics & Business Insight
- Analyze operational and business data to identify trends, anomalies, opportunities, and business insights.
- Translate business requirements into analytical solutions and recommendations.
- Develop ad-hoc analyses and periodic reports for business stakeholders.
- Perform root cause analysis on operational and business issues.
Data Quality & Governance Support
- Assess and identify data quality issues across enterprise datasets.
- Develop data validation and data quality monitoring mechanisms.
- Support the implementation of data quality rules, scorecards, and monitoring dashboards.
- Collaborate with Data Stewards and Data Owners to improve data quality.
Data Visualization & Reporting
- Develop dashboards and analytical reports using Power BI and related tools.
- Automate recurring reports and analytical processes.
- Present findings and recommendations to business and management teams.
Data Science & Machine Learning
- Build, evaluate, and improve predictive and statistical models.
- Develop machine learning and AI use cases to support business optimization.
Requirements
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Data Science, or a related field.
- Minimum 3 years of experience in a data science, data analytics, or related role.
Must-Have Skills
- Data & Analytics: Strong SQL skills for data extraction and transformation. Experience in data analysis and data profiling. Experience working with large datasets.
- Data Science: Strong knowledge of statistics, machine learning, and predictive analytics.
- Data Mining: Experience using Python and Pandas.
- Visualization: Strong hands-on experience in developing Power BI dashboards, including dashboard development, data modeling, DAX, and report optimization.
- Data Platform: Experience working with one or more of the following: Microsoft Fabric, Azure Data Platform, SQL Server, Data Warehouse, or Data Lake.
- Data Quality: Experience in data validation, data cleansing, data reconciliation, and data quality monitoring, with awareness of data governance.
Nice-to-Have
- Familiarity with Power Apps and Power Automate to support business process automation, low-code application development, and workflow automation.
Soft Skills
- Strong analytical and problem-solving skills.
- Able to communicate insights clearly to non-technical stakeholders.
- Able to work independently and collaboratively in a cross-functional team.