Marketing Operations Analyst
Xendit provides payment infrastructure across Southeast Asia, with a focus on Indonesia, the Philippines and Malaysia. We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially. We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind — to make payments across and within SEA simple, secure and easy for everyone. We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly. We’ve been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and backed by global top-10 VCs. We’re proud to be featured on among the fastest growing companies by Y-Combinator.
About the Job
The mission of our Revenue Operations group is to maximize business performance by being the objective, trusted partner to the sales & marketing organization. This is driven by (1) marrying external and internal data insights to guide decision-making; (2) strategic planning, (3) cross-functional collaboration and (4) continued pursuit of operational excellence. We are the swat team of change drivers that respond swiftly to the needs of the business by enabling the sales & marketing teams to transition to a stronger future state. In short, we are the driving force of sales & marketing efficiency.
If you love designing and implementing new marketing program processes, measuring marketing performance and maintaining the overall systems and tools functionality then we would love to welcome you to the team. We are looking for a Marketing Analyst to work with large data sets, conducting complex analysis, converting marketing results into actionable marketing decisions to accelerate Xendit’s growth.
Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- 1-4 years of experience in querying and analyzing datasets using SQL or Python.
- 1-2 years of experience with data visualization tools such as Looker, Tableau, or similar.
- Basic understanding of statistics concepts (e.g., hypothesis testing, probability, regression analysis).
- Exposure to marketing analytics, digital acquisition, or performance tracking.
- Strong analytical skills with the ability to translate data into actionable insights.
- Excellent communication and presentation skills.
- Ability to multitask and work with different stakeholders across marketing, sales, and data teams.
Preferred Qualifications
- Familiarity with Salesforce, Pardot, and BI tools..
- Experience using Google Tag Manager and Google Analytics.
- Exposure to Multi-Touch Attribution and Marketing Mix Modeling.
Responsibilities
Data Management & Quality
- Support data cleaning, preparation, and organization to ensure accuracy and consistency.
- Assist in managing marketing data pipelines in partnership with data engineers.
- Help maintain a single source of truth for marketing data to improve reporting efficiency.
Marketing Attribution & Data Flow
- Work closely with the marketing teams to ensure that customer data flows correctly into Salesforce.
- Learn how data is generated and inputted into Salesforce, Pardot, and other marketing tools.
- Assist in refining marketing attribution models to track customer interactions and campaign effectiveness.
- Identify gaps in attribution tracking and research solutions for improvement.
Dashboard & Reporting
- Build and maintain dashboards to visualize marketing performance.
- Use tools like Salesforce, Looker, and Google Analytics to create easy-to-understand reports.
- Optimize dashboards to improve user experience and minimize data processing time.
- Ensure marketing teams have the right insights to measure campaign effectiveness.
Campaign Performance Analysis
- Track key performance indicators (KPIs) for marketing campaigns, including lead generation and conversion rates.
- Help marketers optimize budget allocation based on campaign performance and ROI.
- Provide insights on which marketing channels and strategies are most effective.
Web Tracking & User Behavior Analysis
- Build accurate website tracking.
- Analyze website user interactions and clickstream data to identify trends and areas for improvement.
- Set up and maintain tracking for marketing campaigns and website experiments.
Lead Quality & Customer Insights
- Analyze lead quality and conversion trends to refine lead scoring models.
- Identify opportunities to improve marketing messaging and product positioning.
- Provide recommendations based on data to improve sales and marketing alignment.
Experimentation & Optimization
- Assist in planning and executing A/B tests to measure the impact of marketing changes.
- Partner with marketers to analyze experimental results and provide recommendations.
- Support data validation and sanity checks before new marketing initiatives go live.
