Data Analyst

2 weeks ago


Jakarta, Jakarta, Indonesia Staffinc Full time
Job Description

We are seeking a highly skilled Data Scientist to join our team in the banking sector. As a Data Scientist, you will be responsible for analyzing large amounts of raw information to identify patterns that will help improve banking operations.

Key Responsibilities:
  1. Data Analysis & Interpretation: Collect, clean, and analyze large datasets to identify meaningful trends and patterns.
  2. Model Development: Develop predictive models and algorithms to solve complex business problems.
  3. Machine Learning: Implement machine learning techniques to improve banking processes and customer experience.
  4. Data Visualization: Create dashboards, reports, and data visualizations to communicate findings to stakeholders.
  5. Collaboration: Work closely with business stakeholders, IT, and data engineering teams to understand data needs and deliver actionable insights.
  6. Research & Innovation: Stay updated with the latest data science trends and technologies and apply them to current projects.
  7. Documentation: Maintain comprehensive documentation of models, analysis, and processes.
Qualifications:
  1. Work Arrangement:
    • Willing to work on-site in Jakarta Selatan (WFO)
    • Able to join ASAP
    • Willing to work in Banking sector
  2. Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related field.
  3. Experience: Minimum of 2 years of experience in data science or a related field, preferably within the banking or financial services industry.
  4. Technical Skills:
    • Proficient in programming languages such as Python or R.
    • Experience with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn, Keras).
    • Strong understanding of statistical analysis and data mining techniques.
    • Proficient in SQL and experience with database management.
    • Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).
  5. Soft Skills:
    • Strong analytical and problem-solving skills.
    • Excellent communication and presentation skills.
    • Ability to work independently and as part of a team.
    • Attention to detail and a proactive approach to identifying issues and finding solutions.


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