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Mid-level generalist analytics role, metro location, common SQL/Tableau skills, and broad hiring appeal drive high competition.
Core analytics skills are transferable across industries, though revenue/fintech domain preference raises domain specificity moderately.
Requires explicit 4+ years, strong SQL and BI/tooling plus forecasting experience, so moderately strict screening.
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Analyze and improve sales productivity and revenue outcomes through data-driven insights across teams and customer segments.
Own and develop revenue analytics, dashboards, forecasting, and recurring reporting to support decision-making and performance management.
Collaborate cross-functionally to solve business problems, enhance operational metrics, and automate analytical workflows using SQL, BI tools, and generative AI platforms.
4+ years of experience in revenue analytics, business analytics, sales operations, consulting, finance, technology, or related analytical roles.
Strong proficiency in SQL and advanced Excel or Google Sheets including analytical or scenario modeling.
Experience with data visualization and business intelligence tools; Tableau strongly preferred.
Bachelor’s degree in business, economics, finance, statistics, mathematics, engineering, or another quantitative field, or equivalent practical experience.
Experienced individual contributor comfortable with complex data, ambiguity, and translating analysis into actionable recommendations for senior stakeholders.
Proven ability to build forecasting models, dashboards, and recurring reports supporting revenue and sales performance.
Familiarity with generative AI and automation to improve analytical efficiency and workflows, plus experience in fintech, revenue or sales operations, or data-intensive environments preferred.