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Understand the full advertising acquisition funnel, including impressions, clicks, installs, registrations, applications, approvals, disbursements, repayments, LTV, and ROI.
Support business and campaign operations teams with analysis on performance fluctuations, funnel drop-offs, customer quality changes, cost increases, and ROI gaps.
Proactively initiate deep-dive analyses to identify growth opportunities and efficiency issues in paid acquisition.
Analyze user mix and conversion performance across platforms, channels, campaigns, ad groups, creatives, landing pages, and audience segments.
Provide data-driven recommendations for budget allocation, campaign optimization, user targeting, and acquisition strategy.
Build and maintain full-funnel advertising performance dashboards across platforms, channels, campaigns, ad groups, creatives, landing pages, and audience segments.
Develop creative performance dashboards to track CTR, CVR, approval rate, disbursement rate, ROI, and user quality across different creatives, messages, product propositions, and landing page experiences.
Build attribution and campaign ROI reporting to help the team evaluate the true business contribution of different campaigns.
Define and standardize key advertising metrics, reporting logic, and data definitions.
Establish monitoring and alerting mechanisms for campaign performance, funnel conversion, cost, quality, and ROI.
Work with data engineering teams to improve data pipelines, reporting efficiency, and metric consistency.
Diagnose key business issues such as growth slowdown, rising acquisition cost, declining conversion rate, approval rate fluctuation, and ROI deterioration.
Analyze differences in conversion rate, approval rate, disbursement rate, risk profile, LTV, and ROI across user segments.
Support campaign scaling, budget adjustment, creative testing, landing page optimization, and product proposition testing through structured analysis.
Use cohort analysis, funnel analysis, A/B testing, incremental lift analysis, and attribution analysis to evaluate the business impact of campaign actions.
Deliver regular business review reports and help build reusable analytical frameworks for advertising performance management.
Work closely with campaign operations teams to understand actual media buying actions, platform optimization logic, and campaign execution details.
Collaborate with business, product, risk, data engineering, and technology teams to turn analytical insights into business actions.
Provide data insights in business reviews, campaign review meetings, and strategic discussions.
Continuously improve the team’s analytical capability in evaluating acquisition efficiency, customer quality, and long-term user value.
Bachelor’s degree or above in Statistics, Mathematics, Computer Science, Economics, Finance, Information Management, or a related field.
Minimum 3 years of experience in data analysis, business analysis, growth analysis, advertising performance analysis, or BI analytics.
Experience in credit, consumer finance, fintech, online lending, advertising, user growth, or user operations is preferred.
Strong SQL skills, with the ability to independently extract, clean, analyze, and validate complex datasets.
Proficiency in at least one analytical programming language or tool, such as Python or R.
Solid understanding of paid advertising fundamentals, including feed ads, app install campaigns, retargeting, campaign structures, conversion funnels, attribution, and ROI analysis.
Strong business sense, with the ability to design analytical approaches based on business problems rather than only responding to data requests.
Clear logical thinking and strong communication skills, with the ability to translate complex analysis into practical business recommendations.
Strong cross-functional collaboration skills, especially with campaign operations, business, product, risk, data engineering, and technical teams.
Description
About the team:
Job Description:
Requirements:
As a core member of the Credit Online Marketing team, you will be responsible for business analysis and data insights across paid advertising campaigns. You will support decision-making around user acquisition scale, customer quality, conversion efficiency, and campaign ROI.
This role is not limited to dashboard building or ad hoc data requests. We are looking for someone with strong business sense who can understand credit products, advertising funnels, and user conversion behavior; proactively identify business problems; design analytical frameworks; and translate data findings into actionable recommendations for campaign optimization and business decisions.
Ad Performance Analysis & Business Decision Support
BI Reporting & Full-Funnel Metrics System
Campaign Diagnosis & Deep-Dive Analysis
Cross-Functional Collaboration