Senior Data Analyst - Pinjam

About the Role

As a Data Analyst on the Consumer Lending, you will be responsible to utilize our voluminous data to improve acquisition for our Pinjam product.You will be driving the analytics projects of the Growth team across components of Pinjam product, ultimately enabling the Pinjam team to make data-driven decisions.

About the Team

At Gojek’s Consumer Lending Team, we wake up thinking about better ways to expand access Pinjam Loans to all Indonesians.

We are building our financial products with partners and deploy at scale to our hundreds of thousands of GoFood merchants, 1 million+GoRide/GoCar drivers, and tens of millions of users on Gojek and Gopay.

We’re looking for talented new colleagues to join us on our mission of universal access to financial services.

• Analyze our complex and ever-growing data, present insights, and propose strategic options to senior management to drive business decisions.
• Maintain rigor in analytical excellence in terms of data warehousing, dashboarding, and data analytics.
• Oversee analytics projects across the products to ensure that best practices are being leveraged and business questions are answered.
• Drive analytics projects—spanning across products—that improve efficiency and quality, such as automation or other shared analytical tools (sample size calculators) leveraging scripting languages such as R or Python.
• Liaise with other analytical chapters within the Consumer Lending as well as across Gojek such as Data Science, Data Engineering, Data Governance, Risk Analytics, etc, to ensure that initiatives are aligned and data integrity standards are adhered to.
• Mentor analysts to develop their analytical skills.

• BS/MS in Computer Science, Information Systems, Statistics, Engineering, Business, or equivalent experience.
• At least 3 years of working experience in an analytical role (data analyst, BI, data science, statistician, etc), preferably worked in Tier 1 consulting firms or startups.
• Strong project management skill to manage complex projects; also can manage and prioritize multiple internal and external stakeholders.
• Strong business acumen and analytical thinking. Comfortable to translate high-level business requirements into structured analytical steps.
• Advanced SQL skills with expertise in either Excel/Python/R.
• Understand the best practices of modern Data Warehouse and familiar with at least one BI tool (Tableau, Power BI, etc).
• Great data viz and data storytelling skills.

• Experienced directly leading an analytics team for at least one year.
• Experienced working on Fintech/Financial Services for at least one year.
• Experienced on (applied) Data Science/Data Engineering.
• Experienced working with GCP, particularly BigQuery.
• Hold a STEM/Business Master degree.