The CX Operations Analyst plays a key role in driving customer experience and operational efficiency through data analysis, modeling, visualization, and process optimization.
This position supports crossfunctional teams, including the Customer Experience (CX) Team by transforming complex datasets into actionable insights, building dashboards, and creating strategic presentations.
Ideal candidates bring strong analytical skills, SaaS experience, and proficiency in tools like SQL, Python, Excel, and Tableau, along with the flexibility to work across APAC, North American or European time zones in a hybrid setting.
Roles & Responsibilities
- Data Analysis & Reporting : Process, analyze, and interpret large datasets to extract actionable insights for the Sales Team.
- PowerPoint Presentations : Create impactful presentations with data visualizations, insights, and recommendations to support business strategies.
- Data Modeling : Develop models that help forecast trends, optimize customer experience performance, and improve operational efficiency.
- ETL & Data Processing : Extract, transform, and load (ETL) data from various sources for reporting and analysis.
- Dashboard Development : Build and maintain interactive dashboards using data visualization tools to track key performance indicators (KPIs) and business metrics.
- Collaboration : Work closely with Customer Experience, Sales, Finance, and Marketing Teams to provide data-driven support and insights.
- CX Process Optimization : Responsible for analyzing and improving customer experience (CX) processes to enhance efficiency, streamline workflows, and ensure a seamless end-to-end customer journey.
Qualifications
Graduate of any 4-year Bachelor’s degree program from any of the universities (University of the Philippines, Ateneo de Manila University and De La Salle University), preferably majoring in Business, Economics, Data Science, Mathematics, Engineering or a related fieldMinimum of 3 years of experience in SaaS environment, preferably supporting customer success and experienceWork experience in other sales organizationsProficiency in Excel (advanced functions, pivot tables, macros)Experience with SQL, Python, or R for data manipulationFamiliarity with ETL tools for data extraction and processingExperience with Salesforce, Gainsight preferredProficiency in PowerPoint to create compelling business presentationsHands-on experience with Tableau, Power BI, Looker, or other data visualization toolsExperience building scalable data models (e.g., in Pigment) for ROI analysis and operational support preferredFamiliarity with managing contract timelines and opt-out clauses preferredFocus on system continuity and redundancy to reduce role dependencyAbility to support Sales Strategy & Operations (SSOPS) through sustainable, transferable solutionsStrong attention to detail and ability to manage large datasets efficientlyExcellent communication skills, with the ability to translate data into actionable insightsProactive mindset with a problem-solving approachFlexibility to work across APAC, North American, or European time zones in a hybrid arrangemen All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic protected by law.Genfinity as an Equal Opportunity Employer, believes in each person’s potential, and we’ll help you achieve yours.
All information will be kept confidential according to EEO guidelines.
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