Job description

Proudly voted a Great Place to Work®, we are a dynamic startup in the CPaaS (Communication Platform as a Service) space that is revolutionizing the way businesses communicate. Our team is made up of 400+ energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies. We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big! Meet the team! Our Revenue Operations team transform data into actionable insights that drive growth and strategic decision-making. We work cross-functionally to provide clarity, alignment, and measurable impact across all revenue channels. As a Data Analyst, you will own the analysis of Unifonic’s revenue data identifying trends, seasonality, pipelines, and key performance drivers. Your insights will shape sales forecasts, optimize revenue streams, and enhance visibility across the entire revenue funnel. Help us shape the future of communication by: • Collecting, cleaning, and structuring revenue-related data (sales, renewals, churn, ARPU, etc.). • Analyzing trends, seasonality, and anomalies; identify best practices and performance gaps. • Building dashboards and reports for sales, finance, and operations to monitor KPIs. • Providing regular analysis: e.g. monthly/quarterly revenue performance vs forecast; pipeline conversion; gap analysis • Supporting forecasting efforts by supplying inputs, validating models, and helping to refine assumptions. • Working with teams (Sales, Marketing, Customer Success) to define metrics, ensure data integrity, ensure that data capture supports analysis. • Assisting in implementing tools/automations for data collection, reporting, and visualization.

Requirements

Must-haves

Meet the team!
Help us shape the future of communication by:
Collecting, cleaning, and structuring revenue-related data (sales, renewals, churn, ARPU, etc.).
Analyzing trends, seasonality, and anomalies; identify best practices and performance gaps.
Building dashboards and reports for sales, finance, and operations to monitor KPIs.
Providing regular analysis: e.g. monthly/quarterly revenue performance vs forecast; pipeline conversion; gap analysis
Supporting forecasting efforts by supplying inputs, validating models, and helping to refine assumptions.
Working with teams (Sales, Marketing, Customer Success) to define metrics, ensure data integrity, ensure that data capture supports analysis.
Assisting in implementing tools/automations for data collection, reporting, and visualization.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Platform: recruitee
Effort: medium