Sales Operations Analyst

4 weeks ago

Manila, Philippines Genfinity Full time

Genfinity Manila, National Capital Region, Philippines The Sales Operations Analyst is a data-driven professional who supports the Sales Team by analyzing large datasets, building analytical models, and creating impactful presentations that guide strategic decisions. The role focuses on optimizing sales processes and pipeline performance, revenue forecasting, and quota attainment through data insights. With at least 3 years of experience in a SaaS environment and a degree from a top Philippine university, the analyst collaborates across departments and is skilled in data visualization, ETL processes, and CRM tools. Flexibility to work in a hybrid setting across APAC, North American, or European time zones is essential. 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 sales 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 KPIs and business metrics. Collaboration: Work closely with Sales, Finance, and Marketing Teams to provide data-driven support and insights. Sales Process Optimization: Analyze and improve sales processes to enhance efficiency, streamline workflows, and ensure a seamless end-to-end customer journey. Qualifications Bachelor’s degree from a top Philippine university (University of the Philippines, Ateneo de Manila University, or De La Salle University), preferably majoring in Business, Economics, Data Science, Mathematics, Engineering, or a related field. Minimum of 3 years of experience in a SaaS environment, preferably supporting sales or revenue operations teams. Work experience in other sales organizations. Proficiency in Excel (advanced functions, pivot tables, macros). Experience with SQL, Python, or R for data manipulation. Familiarity with ETL tools for data extraction and processing. Experience with Salesforce, HubSpot, or other CRM tools preferred. Proficiency in PowerPoint to create compelling business presentations. Hands‑on experience with Tableau, Power BI, Looker, or other data visualization tools. Ability to build sales performance and forecasting models to support business strategy. Preferred Strong attention to detail and ability to manage large datasets efficiently. Excellent communication skills, with the ability to translate data into actionable insights. Proactive mindset with a problem‑solving approach. Flexibility to work across APAC, North American, or European time zones in a hybrid arrangement. 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. #J-18808-Ljbffr

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