Junior Data Analyst/Consultant

Pengiklan Anonim; Jakarta Utara; On-site; IDR 78,120,000 - 122,760,000; Full time

Job summary

Datapower is seeking fresh graduates to join as Junior Data Analysts / Consultants. The role combines hands-on data analysis and modelling with strategy analysis and development, translating insights into practical business recommendations.

The ideal candidate has strong quantitative background in Mathematics, CS, Statistics or Data Science, and proficiency in Python and SQL. Fluent English and willingness to learn in a fast-paced fintech environment are required.

Qualifications

• Top-tier university graduates with GPA ≥ 3.5/4.0
• Strong analytical, numerical, and structured problem-solving abilities.
• Good understanding of data preparation, data cleaning, exploratory data analysis, and feature engineering.
• Proficiency in Python and SQL for data preparation, analysis, and modelling.
• Ability to interpret analytical results and connect them to practical business decisions.

Responsibilities

• Data Preparation and Cleaning: Collect, consolidate, and prepare data from multiple sources for analysis and modelling.
• Feature Engineering and Analysis: Conduct exploratory data analysis to identify trends, patterns, customer behaviours, risk indicators, and business opportunities.
• Support development and validation of analytical models; translate results into actionable business insights.
• Train, test, validate, and compare model performance; monitor model outcomes over time.
• Collaborate with international teams and stakeholders to align modelling work with business strategy.

Skills

Analytical thinking

Numerical ability

Structured problem-solving

English proficiency

Problem-solving

Education

Bachelor's degree or equivalent

Tools

Python

SQL

GCP

AWS

Job description

We are looking for talented and highly motivated fresh graduates to join Datapower as Junior Data Analysts / Consultants.

This role combines hands-on data analysis and modelling with strategy analysis and development. You will be responsible for preparing and analysing data, supporting the development and validation of analytical models, and translating model results into practical business strategies and recommendations.

The position is ideal for recent undergraduate or postgraduate graduates with strong academic backgrounds in Mathematics, Computer Science, Statistics, Data Science, or other relevant quantitative disciplines.

Key responsibilities

Data Preparation and Cleaning

Collect, consolidate, and prepare data from multiple sources for analysis and modelling.

Clean datasets by identifying and addressing missing values, duplicates, inconsistencies, outliers, and data-quality issues.

Perform data validation and quality checks to ensure that analytical outputs are accurate and reliable.

Understand data structures, variables, definitions, and relationships before using the data for analysis.

Create well-structured and reusable datasets for modelling and strategy analysis.

Feature Engineering and Analysis

Conduct exploratory data analysis to identify trends, patterns, customer behaviours, risk indicators, and business opportunities.

Develop, transform, and select relevant analytical features for modelling.

Evaluate feature coverage, stability, predictive value, and business relevance.

Perform customer segmentation, performance analysis, and comparative analysis across different populations or periods.

Translate data findings into clear and meaningful business insights.

Support the development of statistical and machine-learning models.

Assist in selecting appropriate modelling approaches based on the business problem and available data.

Train, test, validate, and compare model performance.

Evaluate model accuracy, stability, interpretability, and practical business value.

Identify model limitations, potential risks, and opportunities for improvement.

Support model monitoring, performance tracking, and periodic model enhancement.

Qualifications

Top-tier university graduates with outstanding academic performance (GPA ≥ 3.5/4.0)

Strong analytical, numerical, and structured problem-solving abilities.

Good understanding of data preparation, data cleaning, exploratory data analysis, and feature engineering.

Good foundation in statistics, predictive modelling, and model-evaluation methods.

Proficiency in Python and SQL for data preparation, analysis, and modelling.

Ability to interpret analytical results and connect them to practical business decisions.

Strong interest in strategy analysis, strategy design, and strategy development.

Fluent in spoken and written English, with the confidence to participate in meetings, prepare professional reports and presentations, and communicate effectively with international teams and clients.

Strong attention to detail and commitment to data accuracy.

Curious, proactive, adaptable, and willing to learn quickly.

Able to work independently and collaborate effectively within a multicultural team.

Familiarity with model evaluation, feature engineering, and data visualization

Analytical thinker, proactive problem-solver, and collaborative team player

Internship or work experience in data science or analytics roles (preferred)

Exposure to financial services, fintech, or credit scoring projects (preferred)

Experience with cloud platforms (e.g., GCP, AWS) is a plus

Able to join immediately

Ideal Candidate Profile

We are looking for someone who:

Enjoys working with data and solving complex business problems.

Understands that reliable modelling begins with high-quality data preparation.

Can connect analytical findings and model results to practical business strategies.

Thinks logically and approaches problems in a structured way.

Can communicate complex information clearly and confidently.

Is comfortable working in English with international colleagues and clients.

Demonstrates accountability, integrity, curiosity, and a strong sense of ownership.

Has the potential to grow into a trusted data and strategy consultant.

About us

We are a leading fintech consulting company specializing in personal digital lending, credit risk modeling, fraud detection, and AI-driven operational marketing. We empower Banks, Multi-finance companies, and other financial institutions in Southeast Asia and Africa with innovative AI-driven solutions.

What We Offer

Exposure to real data analytics, modelling, and strategy-development projects.

Opportunities to work on lending, risk-management, and financial-services use cases.

Mentoring and professional development from experienced consultants.

Collaboration with local and international teams.

A learning-focused environment that values analytical thinking, initiative, and continuous improvement.

Career-development opportunities based on capability and performance.