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Data Analyst

Unifonic·LinkedIn·Amman, Jordan·On-site·Full-time·12 hours ago
mid levelbachelor degreeRevenue

About the role

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

What you'll bring

  • Bachelor's degree in Business, Economics, Data Science, or anything else relevant
  • 1-2 years of experience in data analysis, revenue operations, or business analytics, preferably in the SaaS or CPaaS industry.
  • Experience in Excel and data manipulation, as well as familiarity with business intelligence tools like tableau.
  • Strong statistical and quantitative thinking and reasoning, and experience in analyzing revenue data.
  • Solid understanding of revenue, pipeline, and sales metrics and indicators.
  • Excellent communication skills and great attention to detail.
  • Curious, proactive, and comfortable with working in a fast-paced, dynamic environment.

Craft & Toolkit

  • Revenue & Business Analytics
  • Data Analysis & Visualization
  • Sales & Pipeline Metrics
  • Statistical & Quantitative Analysis
  • Excel & Data Manipulation
  • Tableau & BI Tools
  • Revenue Performance Reporting

Character Traits

  • Analytical thinking and problem-solving - approach problems clearly, use data, and find solutions.
  • Ownership and accountability - take responsibility and follow projects through to completion.
  • Communication - explain ideas clearly and listen to others across teams.
  • Collaboration - work well with others and support team goals.
  • Adaptability and learning - adjust to change and keep learning new skills or tools.
  • Mentorship and knowledge sharing - help others grow and share what you know.
  • Resilience - stay calm under pressure and handle setbacks constructively.
  • Quality and attention to detail - do work carefully and strive for improvement.
  • Advocacy and innovation - encourage best practices, efficiency, and new ideas

As a Unifone you'll receive a range of

benefits

  • Competitive salary and bonus
  • Unifonic share scheme (we are all owners!)
  • 30 holiday days after the first anniversary
  • Your Birthday off!
  • Spend up to 25 days per year working from anywhere in the world!
  • Paid leave for new parents
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