Analytics Support

PayTech Nexus Ltd; Jakarta Pusat; On-site; IDR 300,000,000 - 480,000,000; Full time

Job summary

PayTech Nexus Ltd in Jakarta invites an Analytics Support professional for a 12-month engagement starting in early October. The role focuses on analytics in consumer banking, understanding credit and debit card data, and delivering accurate, timely insights using SQL, Python or R.

Must be based in Jakarta and willing to work on-site at the client's site. You will conduct analyses on Mastercard data and client datasets, create segmentation, track performance, review deliverables, support project

Qualifications

• Native Indonesian language with proficient English.
• 5-7 years in business intelligence and/or analytics.
• Experience with consumer banking analytics and card data.
• Ability to analyze large datasets and provide actionable insights.

Responsibilities

• Conduct analysis using Mastercard's and client data with SQL/Python/R/SAS as needed.
• Create segmentation, benchmarking, rule-based modelling, and performance tracking.
• Review analytics deliverables for accuracy, quality and timeliness.
• Support developing project deliverables and plan implementation.
• Prepare materials for biweekly progress updates and steering committee meetings.
• Coordinate with stakeholders to align analytics efforts across teams.
• Build portfolio segmentation using MCC, dormancy, recency, and personas.
• Develop predictive models (e.g., propensity to travel, attrition).
• Track campaign performance and assess results against objectives.
• Generate data insights for portfolio performance reviews.
• Assess candidates' basic SQL skills via live query-writing exercise.
• Explain modeling objectives, approaches, and validation of outputs.
• Demonstrate coachability and ability to adjust after feedback.

Skills

Indonesian (native)

English proficiency

Tools

SQL

Python

R

SAS

Job description

Job Title: Analytics Support

Term: 12 months

Start date: Early October

Preferred requirements:

• Analytics in consumer banking/ credit or debit card department
• Have some understanding of credit / debit card data structure and parameters

Roles & Responsibilities:

• Conduct analysis using Mastercard's and or client's data
• Create segmentation, benchmarking, rule based-modelling, and performance tracking
• Review analytics deliverables to ensure accuracy, quality and timeliness
• Support developing project deliverables
• Support implementation of the agreed plan and mitigation actions agreed in the weekly cadence and steering committee meetings.
• Support alignment between all stakeholders and help to coordinate as well as prepare the materials for biweekly progress updates and steering committee
• Create portfolio segmentation using factors such as merchant category code (MCC), dormancy and recency, and customer personas (e.g., traveller or foodie).
• Develop predictive models, such as propensity to travel and propensity to attrite.
• Track campaign performance and assess results against objectives.
• Generate data insights for regular portfolio performance reviews.
• Assess candidates' basic SQL skills through a live query-writing exercise.
• Assess whether candidates can explain model objectives, approach selection, and validation of model accuracy and outputs.
• Assess coachability, comprehension of the case, relevance of responses, and ability to incorporate guidance.

Requirements:

• Native in Indonesian language and proficient in English
• Based in Jakarta and willing to work face to face in client's site
• Have at least 5-7 years of working experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
• Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence
• Have the knowledge on metrics, measurements, and benchmarking
• Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS) and building, managing, and maintaining database structures
• Advanced Word, Excel, and PowerPoint skills
• Have experience in banking industry (preferably consumer banking)
• Can work independently and drive progress with banking clients
• Experience managing clients or internal stakeholders and ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment
• Have hands-on experience in consumer banking debit or credit card portfolio optimization analytics, including relevant analytics approaches and modelling.
• Demonstrate basic SQL writing ability through an on-the-spot query-writing exercise; candidates should be able to construct logic independently rather than rely on copied queries.
• Understand the objective of each modelling approach, why one approach is selected over another, and how to validate that model outputs are accurate and appropriate.
• Be coachable and able to understand guidance and case objectives, respond to the question asked, and adjust their approach after feedback.