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Popular mid-level title, metro location, generalist tech stack, and known employer increase competition.
Core SQL, Python and BI skills are broadly transferable across industries.
Explicit 1–3 years plus mandatory SQL and Power BI implies moderate filtering.
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Analyze business and functional metrics to provide data-driven insights for B2B growth initiatives focused on pipeline and business performance.
Develop, maintain, and ensure accuracy of reports and dashboards using Power BI for multiple teams.
Collaborate cross-functionally to gather data requirements, validate data quality, and share insights to support decision-making and optimization.
Bachelor's degree in Analytics, Statistics, Economics, Business, or related field.
1-3 years of experience in data analytics, business intelligence, or similar role.
Proficiency in SQL and Power BI; basic programming skills in Python or R.
Work Experience Required: 1-3 years in relevant data analytics or BI roles.
Operates effectively within cross-functional SaaS environments collaborating with senior analysts and stakeholders.
Focuses on data accuracy and validation to ensure reliable business insights and reporting.
Comfortable using SQL, Power BI, and foundational programming (Python/R) to analyze and visualize B2B SaaS metrics.