Staff Revenue Analyst

October 20

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ABBYY

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Artificial Intelligence • Enterprise • SaaS

ABBYY is a leading provider of intelligent automation solutions, leveraging AI-powered document processing technologies to transform and optimize business processes. The company offers solutions such as ABBYY Vantage, a low-code platform for document processing, and ABBYY Timeline, which provides process mining and simulation to gain actionable insights into business processes. ABBYY serves a wide range of industries including financial services, insurance, and public sector by automating tasks such as accounts payable automation and customer onboarding. Known for its high accuracy and efficiency, ABBYY's technologies enable organizations to enhance productivity, improve process intelligence, and achieve cost savings.

501 - 1000 employees

Founded 1989

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Venture Round on 2021-05

📋 Description

• Serve as a liaison between GTM stakeholders (Sales, CS, Marketing, RevOps) and the data development team to understand, document, and prioritize analytics needs • Translate business requirements into clear, detailed specifications for data and reporting solutions • Design, build, and maintain Power BI dashboards and reports that provide actionable insights and support strategic decisions • Partner with Salesforce admins and developers to ensure accurate and efficient reporting within Salesforce and related tools (e.g., Saleforce Reporting, Einstein Analytics) • Proactively analyze trends and performance across the revenue funnel, identifying key insights and areas for improvement • Ensure reporting consistency, data accuracy, and KPI alignment across systems and teams • Support ad hoc analysis and executive reporting needs with high quality, speed, and precision • Contribute to the evolution of our data strategy, tooling, and analytics processes

🎯 Requirements

• 5+ years of experience in business intelligence, revenue/sales analytics, or similar roles in a SaaS or B2B tech environment. • Strong proficiency in Power BI (including DAX, data modeling, and Power Query) and Salesforce reporting (reporting, dashboards, and basic SOQL understanding). • Proven ability to gather and translate business requirements into technical specifications and reporting solutions. • Strong data storytelling skills — ability to extract insights from complex data and present them in a clear, compelling way. • Familiarity with GTM metrics such as pipeline coverage, conversion rates, sales velocity, retention/churn, CAC, LTV, etc. • Experience collaborating with data engineering teams and understanding data architecture and pipelines. • Exceptional attention to detail, critical thinking, and problem-solving skills. • Strong written and verbal communication skills, especially around documenting requirements and presenting findings. • Experience with SQL, Excel, or other analytics tools is a plus.

🏖️ Benefits

• Company laptop and mobile phone • Regular Webinars on Wellbeing and multiple other topics • Multiple company events • Up to 2 days paid time off per year for participating in volunteer activities