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Mid-tier fintech brand, common operations-analytics title, and broad analytics skillset yield moderate competition.
Core analytics and operations skills are transferable across industries, though fintech and Salesforce experience add moderate domain specificity.
Explicit 8+ years requirement plus mandatory SQL, Python, Power BI and domain experience makes filters strict.
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Lead operational initiatives involving data analysis, capacity modeling, and performance trend evaluation using tools like Salesforce, Jira, Python, SQL, Power BI, and advanced Excel.
Develop and maintain dashboards, forecasting, and scenario models to support strategic and tactical decision-making across business functions.
Collaborate cross-functionally to ensure timely and budget-compliant delivery of programs and manage major operational transitions (financial, technological, governance).
Minimum 8 years professional experience with a Bachelor's degree OR 5 years with a Master's degree in a related role.
Proficiency in advanced Excel, Python, SQL, and familiarity with analytics tools such as Jira, Salesforce, Power BI.
Experience building dashboards, data models, and analytical reports; strong trend analysis and forecasting skills.
Not explicitly mentioned in the JD: Notice period, strict location, or onsite requirements.
Experienced in strategic operations within dynamic, fast-paced environments, demonstrably supporting stakeholder management and decision-making.
Highly analytical with a strong analytics-first mindset, adept at combining multiple data sources for scenario planning and forecasting.
Skilled in project coordination and process improvement to enhance operational efficiency and cost reduction, with prior exposure to financial services or enterprise software contexts preferred.