Data Analytics Manager

Asiacruit BPO, Inc; Jakarta Utara; Hybrid; IDR 1.000.834.000 - 1.334.446.000; Full time

Job summary

A leading technology consulting firm is seeking a skilled Data Analytics Manager to spearhead analytics initiatives. This hybrid position involves building predictive models related to credit risk, collections, and fraud, while managing the complete lifecycle of data models. Ideal candidates should have at least 4 years of experience in developing machine learning models, with strong leadership and statistical skills. Join a diverse team and enjoy competitive compensation and opportunities for professional growth in Jakarta Utara.

Benefits

Flexible work schedule

Opportunities for professional growth

Competitive compensation package

Qualifications

• 4+ years of hands-on experience building and monitoring machine learning models.
• At least 2 years of leadership or team management experience.
• Strong foundation in mathematics and statistics.

Responsibilities

• Build predictive models for credit risk, collections, fraud detection, and business optimization.
• Manage the full lifecycle of model development—from design and validation to deployment and maintenance.
• Engineer predictive features and enhance customer profiling using diverse datasets.

Skills

Machine learning model building

Statistical analysis

Data visualization

Leadership

Stakeholder engagement

Education

Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or other quantitative fields

Job description

Work Setup: Hybrid
Location: West of Jakarta
Company Industry: Software house / IT Agency
Employment Type: 6-12 month contract, then permanent

About Asiacruit
Asiacruit is your trusted partner for Employer of Record (EOR) and compliant workforce management solutions. We help businesses scale with global professionals, seamless integration, and cost efficiency.

Position Overview

We're assisting one of our clients in software house / IT Agency who is seeking a Data Analytics Manager to lead advanced analytics initiatives and drive data-powered decision-making. This role will focus on building predictive models related to credit risk, collections, fraud, and other business functions while managing the full lifecycle of model development, deployment, and optimization. The ideal candidate will be highly analytical, business-oriented, and capable of leading stakeholders through data-driven strategies.

Key Responsibilities

• Build predictive models for credit risk, collections, fraud detection, and business optimization
• Manage the full lifecycle of model development—from design and validation to deployment and maintenance
• Engineer predictive features and enhance customer profiling using diverse datasets
• Identify and integrate external data sources to enrich modeling performance
• Design analytical model frameworks aligned with strategic business needs
• Translate complex analytical insights into business-friendly recommendations
• Communicate findings effectively to stakeholders and align execution with analytics roadmap
• Lead and guide data teams to deliver high-impact analytical outcomes

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or other quantitative fields
• Minimum 4 years of hands‑on experience building and monitoring machine learning models in financial products (credit scoring, collection risk, etc.)
• At least 2 years of leadership or team management experience
• Strong foundation in mathematics and statistics
• Knowledge of machine learning techniques such as Bagging, Boosting, Recommendation Engines, and related concepts
• Expertise in feature engineering across varied data types
• Proven experience developing ML analytics models in real-world environments
• Strong understanding of trade-offs between model performance and business priorities
• Ability to translate business needs into data science solutions
• Strong communication skills and stakeholder engagement capability
• Experience across multiple domains (Risk Analytics, Marketing Analytics, Fraud Analytics) is a plus

Why Join Asiacruit

Hybrid work setup offering flexibility and work‑life balance.

Work with a diverse, talented team in a collaborative environment.

Opportunities for professional growth and exposure to global projects.

Competitive compensation package and performance-based incentives.

A culture that values innovation, teamwork, and continuous learning.