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Known SaaS, metro location, mid-level generalist analytics role with broad skill requirements increases competition.
Analytical, SQL and dashboarding skills are highly transferable across industries, so fit sensitivity is low.
Explicit 4–7 years and mandatory SQL/advanced Excel/dashboards make shortlisting strictness high.
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Develop and implement regular reporting on key performance metrics including forecasting, funnel analysis, and pipeline management.
Extract insights from large, complex data sets and cleanse unstructured data to improve business processes and performance.
Communicate findings to stakeholders and create data visualizations or dashboards for diverse audiences to drive decision-making.
Bachelor's or Master's degree in Business, Analytics, or a related field from premier institutions.
4 to 7 years of work experience, preferably in e-commerce, internet, software, or SaaS industries.
Mandatory skills: advanced Excel, data modelling, familiarity with database technologies; SQL knowledge preferred.
Experience with management dashboards and data visualization tools (Tableau, Power BI) and basic CRM knowledge related to sales processes.
Experienced in translating business requirements into analytical models and developing actionable reports using structured and unstructured data, preferably with Python.
Strong database skills and ability to work semi-independently on analytics projects in a fast-paced, tech-oriented environment.
Familiarity with sales metrics and CRM systems to provide insights that directly improve sales team performance.