Data Analyst​/Data Scientist

Data Scientist

As a Data Scientist, you will transform complex datasets into actionable insights that drive business growth. You will work across data exploration, feature engineering, statistical modelling, and campaign analytics, collaborating with stakeholders to deliver data‑driven strategies that enhance portfolio performance and customer engagement.

What You’ll Do and How You’ll Succeed

• Develop project scopes, methodologies, and analytical solutions using appropriate tools and techniques.
• Ensure quality control and maintain up‑to‑date documentation for all data science projects.
• Monitor client portfolio growth data, analyse spending trends, and identify new opportunities using non‑traditional data sources and advanced modelling techniques.
• Provide data support for card campaign design, including customer tiering, Test & Control setup, campaign targeting, and performance tracking.
• Track and benchmark portfolio dashboards, analyse market segments and channel opportunities, and provide insights to optimise ongoing and tactical campaigns.
• Manage communication effectively with clients and stakeholders to ensure clarity, alignment, and impact.

We’d Love to Hear From You If…

Experience

• You hold a degree in Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or another quantitative field.
• You have at least 5 years of experience in data exploration and feature engineering.
• You understand local market conditions and industry regulations.
• A master’s degree is an advantage.

Technical Expertise

• Proficient in statistical techniques such as Gradient Boosting, Linear and Logistic Regression, Decision Trees, and Clustering.
• Skilled in Python, SQL, and Power BI for data analysis and management.
• Capable of translating complex datasets into clear, actionable insights for business improvement.
• Strong in data storytelling and presentation, with proficiency in MS Excel and MS PowerPoint.

Ways of Working

• Manage stakeholders collaboratively, diplomatically, and flexibly.
• Communicate complex ideas effectively, both verbally and in writing.
• Stay informed about macro trends in payments, banking, and financial services to support value proposition development (nice to have).
• Employment Type:
  
  Project-Based (12 months)

Our client offers an exciting opportunity for a motivated Junior Data Analyst to join their team in Jakarta. This hybrid position blends office and remote work. The role supports senior team members in collecting, cleaning, analyzing, and interpreting large datasets, assisting in identifying patterns and insights to inform business decisions. Responsibilities include creating reports and visualizations, maintaining databases, and contributing to data quality assurance.

You should have a foundational understanding of statistical concepts, proficient in Microsoft Excel, and familiarity with SQL, Python, or R is a plus.

Key Responsibilities

• Collect, clean, and organize data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and generate regular reports and dashboards tracking key performance indicators.
• Assist in creating data visualizations to communicate findings effectively.
• Support senior analysts and stakeholders with ad‑hoc data requests.
• Learn and apply various data analysis techniques and tools.
• Contribute to data quality initiatives and process improvements.
• Collaborate with cross‑functional teams to understand data needs.
• Document data sources, methodologies, and findings.
• Participate in team meetings and training sessions.
• Gain exposure to different aspects of the data lifecycle.
• Assist in the testing and validation of data models and reports.

Required Qualifications

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or related quantitative field.
• Strong analytical and problem‑solving skills.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Familiarity with data analysis tools and languages such as SQL, Python (Pandas, Num Py), or R is a plus.
• Basic understanding of statistical concepts.
• Excellent attention to detail and…