Senior Data Analyst at RingCentral in Manila

Job description

Senior Data Analyst Say hello to opportunities. If you’re looking to be part of what’s next in communication, you’re in the right place. At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere. With $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications This is where you and your skills come in. We’re currently looking for: We are seeking a Senior Data Analyst to partner with GTM, Sales, Marketing, and leadership teams in transforming data into actionable insights that drive strategic decisions and business growth. In this individual contributor role, you will independently own analyses and metrics from question to recommendation, working with large-scale datasets and communicating results to technical and non-technical audiences. The ideal candidate combines advanced SQL and strong analytical skills with sound business judgment, and is comfortable working in a fast-paced environment. Responsibilities Partner with stakeholders: Collaborate with business stakeholders to identify opportunities for using data to optimize processes and improve performance, and shape ambiguous questions into well-defined analyses. Analyze large datasets: Explore, clean, and analyze large datasets, including large transaction and records data, to generate actionable insights and clear recommendations. Own metric and analysis design: Define metrics and design analyses that leverage big data sources, using advanced SQL to extract, transform, and interpret large-scale datasets. Build reporting solutions: Build and maintain automated dashboards and reporting that support data-driven decision-making and reduce manual effort. Improve data quality and infrastructure: Evaluate data quality, integrate new data sources, and work with Data Engineering to improve data infrastructure and reliability. Communicate with impact: Present findings and translate complex analyses into clear, concise insights for non-technical stakeholders, and follow up to track outcomes. Deliver under pressure: Handle ad hoc analytics requests alongside planned projects, delivering timely, high-quality insights under tight deadlines and prioritizing effectively across competing requests. Raise the bar: Apply and share good practices for analysis, documentation, and validation, and look for opportunities to automate repeatable work, including with AI-assisted tools. Qualifications 3+ years of experience in data analytics or a related role. Advanced proficiency in SQL, with demonstrated experience analyzing big data, including large transaction and records datasets, to generate reports and analyses. Experience with data visualization tools such as Tableau, Power BI, or Looker. Track record of independently owning analyses and projects from problem definition through insight delivery. Strong problem-solving skills and the ability to manage multiple projects and shifting priorities simultaneously. Excellent communication skills, with the ability to convey complex ideas to non-technical stakeholders. Bachelor’s degree in a quantitative or business field (e.g., Statistics, Economics, Engineering, Business Analytics) or equivalent experience. Preferred Qualifications Experience applying AI tools (e.g., Claude, Gemini, Copilot, ChatGPT) to accelerate analysis, code and query development, automation, and reporting. Proficiency in Python, R, or Alteryx for data analysis and automation. Experience with cloud data platforms such as Snowflake, AWS, GCP, or Azure. Familiarity with GTM/revenue data and metrics (pipeline, funnel conversion, bookings/ARR, retention) and CRM data such as Salesforce. RingCentral’s work culture is the backbone of our success. And don’t just take our word f