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Analytics Support

PayTech Nexus Ltd


Job Location:

Jakarta - Indonesia

Monthly Salary: Not provided by the employer
Posted: 24 September 2026 (Yesterday)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

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 Mastercards and or clients 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 clients 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.