Staff Analyst, Analytics

Posted 20 days agoInactiveViewed

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💎 Seniority level: Staff, 6+ years

📍 Location: United States

💸 Salary: 104000.0 - 205000.0 USD per year

🔍 Industry: Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

⏳ Experience: 6+ years

🪄 Skills: PythonSQLBusiness IntelligenceData AnalysisData MiningTableauBusiness OperationsData engineeringData scienceCommunication SkillsAnalytical SkillsData visualizationFinancial analysisData modelingData management

Requirements:

6+ years of hands-on experience in Sales Analytics, Revenue Analytics, or GTM Analytics, ideally at a fast-growing SaaS or technology company
Strong expertise in data analysis, statistical modeling, sales reporting, and pipeline analysis
Advanced SQL skills and proficiency in Python (or R) for data analysis and statistical modeling
Experience with data visualization tools such as Tableau, Looker, or Power BI
Strong understanding of data governance, data quality best practices, and AI-driven analytics
Experience building automated dashboards and self-service analytics tools for sales teams
Proven ability to translate complex data into actionable business insights and effectively communicate findings to senior leadership
Experience working cross-functionally with Analytics, Sales, Finance, and Operations teams to drive data-driven decision-making
Ability to work independently and take full ownership of projects with minimal guidance
Strong communication and stakeholder management skills

Responsibilities:

Take full ownership of key analytics projects, driving them from scoping to execution with minimal oversight
Develop and enhance Sales Analytics reporting frameworks to provide clear visibility into sales performance, pipeline trends, and revenue forecasting
Define and track KPIs related to sales productivity, funnel efficiency, pipeline health, and overall business impact
Conduct deep-dive analyses on sales processes, pipeline conversion rates, and customer segmentation to inform sales strategies
Partner with Sales Operations, FP&A, Sales Commission, and Strategy & Planning teams to analyze sales compensation structures, ensuring alignment with performance goals
Use advanced analytics and statistical methods to assess sales trends, forecast revenue, and identify opportunities for growth
Work closely with Data Architecture, Data Engineering, and IT teams to create and manage a curated central repository of sales and product usage data
Build high-quality data products, such as dashboards and AI-driven insights, to enable self-service analytics across the sales organization
Develop a keen understanding of stakeholder business strategy and provide actionable insights to optimize people and processes
Ensure key principles of Data Governance, Data Management, and Advanced Analytics (including AI & GenAI) are implemented across the organization
Collaborate with other analytics teams to align on data strategy, share best practices, and drive holistic insights across departments
Communicate analytical findings effectively to non-technical audiences and influence strategic decisions

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