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Mid-level generalist data analytics role in metro with 5+ years experience increases competition density.
Core SQL, Python and BI skills are transferable, though fintech domain knowledge is beneficial.
Explicit 5+ years plus required SQL, Python and BI tools raises screening strictness.
Lead end-to-end analytics initiatives impacting business and product decisions, including metrics definition, analysis, insights generation, and recommendations.
Partner with cross-functional teams like Product, Engineering, Sales, Operations, and Finance to solve complex business problems using data.
Build dashboards, reports, and visualizations; ensure data accuracy and automate recurring analytics processes; occasionally mentor junior analysts.
5+ years of experience in Data Analytics, Business Analytics, Product Analytics, or related fields.
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or related field; Master's is a plus.
Strong hands-on skills in SQL and proficiency in Python for data analysis and automation.
Experience with BI tools such as Tableau, Power BI, Looker or similar platforms.
Experienced in independently owning analytics projects from gathering requirements to delivery with clear business impact.
Strong business acumen connecting data insights to business outcomes and product growth opportunities.
Comfortable working in fast-paced, ambiguous environments with cross-functional teams and mentoring junior analysts.