Senior Data Analyst - Revenue & Growth Insights

RingCentral; Manila; On-site; PHP 900,000 - 1,400,000; Full time

Job summary

RingCentral is seeking a Senior Data Analyst to partner with GTM, Sales, Marketing, and leadership teams to transform 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.

Qualifications

• 3+ years of experience in data analytics or related role.
• Advanced proficiency in SQL and big data analysis.
• Experience with data visualization tools (Tableau/Power BI/Looker).
• Track record of owning analyses and projects end-to-end.
• Strong problem-solving and multi-project management skills.
• Excellent communication with non-technical stakeholders.
• Bachelor’s degree in quantitative or business field or equivalent experience.

Responsibilities

• Partner with stakeholders to identify opportunities for data-driven optimization.
• Analyze large transaction and records datasets to generate insights and recommendations.
• Define metrics and design analyses leveraging big data sources with SQL.
• Build and maintain automated dashboards and reporting for decision-making.
• Improve data quality and infrastructure with Data Engineering.
• Present findings to technical and non-technical audiences and track outcomes.
• Deliver ad hoc analytics under tight deadlines while prioritizing work.

Skills

SQL

Data analytics

Data visualization

Communicate with stakeholders

Education

Bachelor’s degree in quantitative/business

Tools

Tableau

Power BI

Looker

Job description

RingCentral is seeking a Senior Data Analyst to partner with GTM, Sales, Marketing, and leadership teams to transform 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.