Kerja Separuh Masa, Database Developer - Statistical Analyst - Quantitative Analyst di Core Business Talent - Maukerja

Uses data, statistical methods, and database technologies to support analysis, reporting, and business or research decisions. The focus depends on the position: a Database Developer designs and maintains data structures and pipelines; a Statistical Analyst applies statistical methods to investigate patterns and evaluate evidence; a Quantitative Analyst builds mathematical and computational models for areas such as finance, risk, pricing, or forecasting.

A Database Developer designs, builds, and maintains databases, data models, queries, stored procedures, and data-processing routines. Works with software engineers, analysts, and business teams to understand data requirements and create reliable ways to store, retrieve, transform, and validate information. May support database performance, integration, access controls, backups, and data quality.

A Statistical Analyst organizes and analyzes data to answer research or operational questions. Selects appropriate statistical techniques, tests hypotheses, evaluates relationships, and explains uncertainty and limitations. May design surveys or experiments, prepare datasets, analyze results, and communicate findings through reports, visualizations, and presentations.

A Quantitative Analyst develops and applies mathematical models to support decisions. May work on financial valuation, investment strategies, credit or market risk, pricing, forecasting, optimization, or simulations. Tests model assumptions, analyzes performance, and documents methods, results, and limitations for technical and business stakeholders.

Across these roles, responsibilities may include cleaning and validating data, automating recurring analysis, maintaining documentation, and collaborating with technology or business teams. The specific balance of database development, statistical research, and quantitative modeling varies by position and industry.

• Bachelor’s degree in computer science, statistics, mathematics, economics, finance, data science, or a related field; advanced study is an asset for some roles
• Experience in database development, statistical analysis, quantitative research, data engineering, or a related discipline
• For Database Developer roles, proficiency in SQL and experience with relational databases, data modeling, and query optimization
• For Statistical Analyst roles, understanding of statistical methods, study design, hypothesis testing, and interpretation of results
• For Quantitative Analyst roles, strong mathematical and statistical foundations, with experience in modeling, forecasting, optimization, or simulation
• Programming experience in languages such as Python, R, SQL, Java, or C++, depending on the role
• Ability to clean, validate, and analyze complex datasets with attention to accuracy and reproducibility
• Familiarity with visualization, reporting, or business intelligence tools is an asset
• Strong analytical and problem-solving skills, including the ability to explain assumptions and limitations
• Clear writing and presentation skills for communicating technical findings to different audiences
• Knowledge of data governance, privacy, security, and documentation practices is beneficial
• Ability to collaborate with engineers, researchers, finance teams, and business stakeholders
• Relevant certifications or experience with industry-specific tools and systems are an asset
• Advanced degrees, research experience, or professional qualifications may be preferred for specialized statistical or quantitative roles