Analytics Consultant – Consumer Banking

Analytics Consultant – Consumer Banking

📍 Location: Jakarta, Indonesia

📅 Contract: 1 year + Extension or Conversion to Permanent

💰 Compensation: Payout in USD + full statutory benefits as per country law

About the Company

Join a globally recognized leader in payments, technology, and data-driven solutions, working closely with leading banks and financial institutions across the world. This is a great opportunity to gain exposure to large-scale banking and consumer payments data, work on impactful analytics projects, and collaborate with experienced industry and client stakeholders in a fast-paced, global environment.

About the Role

We are looking for an experienced Analytics professional to support a major banking analytics engagement in Jakarta. The role will focus on using business intelligence, descriptive/predictive analytics, customer segmentation, benchmarking, rule-based modelling, and performance tracking to generate actionable insights from large datasets.

Candidates with prior experience in consumer banking, credit cards, debit cards, or banking analytics are strongly preferred, particularly those with a good understanding of credit/debit card data structures, parameters, metrics, and performance measures.

Key Responsibilities

• Conduct data and analytics analysis using client and relevant Mastercard data.
• Develop customer segmentation, benchmarking, rule-based modelling, and performance tracking.
• Analyse large datasets and translate findings into actionable business recommendations.
• Review analytics deliverables to ensure accuracy, quality, and timely completion.
• Support the development of project deliverables and analytical outputs.
• Support implementation of agreed plans and mitigation actions discussed through weekly cadence and steering committee meetings.
• Work closely with client and internal stakeholders to ensure alignment and progress across workstreams.
• Prepare materials and analytical updates for weekly progress reviews and steering committee meetings.
• Manage multiple tasks and stakeholders in a fast-paced, deadline-driven environment.
• Work independently while driving progress with banking clients.

Requirements

• 5–7+ years of experience in Business Intelligence, Data Analytics, Descriptive Analytics, Predictive Analytics, or Prescriptive Analytics.
• Strong experience analysing large datasets and developing actionable business insights.
• Experience with data analytics tools such as SQL or Python or R or SAS, or similar.
• Experience in database structures, data management, and analytics.
• Strong understanding of metrics, measurements, benchmarking, and performance analysis.
• Banking industry experience is required, preferably within Consumer Banking.
• Credit Card / Debit Card analytics experience is highly preferred.
• Good understanding of credit/debit card data structures and parameters.
• Strong Microsoft Excel, Word, and PowerPoint skills.
• Ability to independently manage deliverables and work directly with banking clients.
• Strong stakeholder management and communication skills.
• Native Indonesian language proficiency and good English communication skills.
• Must be based in Jakarta and willing to work on-site at the client's location.

Preferred Background

Priority will be given to candidates with current or previous experience in major banks, particularly:

• Citibank
• Mandiri
• DBS
• HSBC

Candidates from other established banking institutions with strong consumer banking / credit or debit card analytics experience will also be considered.

What We're Looking For

The ideal candidate is not just a general data analyst. We are specifically looking for someone who can combine:

Banking + Consumer/Credit/Debit Card Knowledge + Data Analytics + SQL/Python/R/SAS + Business Intelligence + Segmentation + Benchmarking + Performance Analytics

If this opportunity interests you, we'd love to hear from you! Click Apply to submit your application, or for a faster response, feel free to WhatsApp me directly at +65 6359 2571 or email your CV to nmulla@high5hire.com.

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