Business Intelligence Analyst

5 days ago

mount, India beBeeData Full time

Data Insight SpecialistJob Overview:As a Data Insight Specialist, you will play a pivotal role in uncovering valuable insights that drive business decisions. You will work closely with cross-functional teams to analyze data, identify trends, and develop actionable recommendations.Key Responsibilities:Design and maintain dashboards to track key product and business metrics.Analyze user behavior and product usage to identify patterns and opportunities for growth.Support the growth and marketing teams with funnel analysis, cohort analysis, and campaign performance measurement.Develop customer health scoring models to predict churn and identify expansion opportunities.Partner with product teams to measure feature adoption and impact of new releases.Create reports and presentations that communicate insights to stakeholders.Design and analyze A/B tests and experiments to inform product decisions.Build data models and pipelines that enable self-serve analytics for the team.Monitor key metrics and alert the team to significant changes or anomalies.Requirements:3+ years of experience in data analysis, business intelligence, or analytics roles.Strong SQL skills with experience querying complex datasets.Proficiency with data visualization tools (Tableau, Looker, Metabase, or similar).Experience with product analytics and understanding of SaaS metrics (MRR, churn, LTV, CAC).Statistical literacy including A/B testing, significance testing, and cohort analysis.Ability to translate data into actionable insights and communicate findings clearly.Experience working with product and growth teams on data-driven decisions.Ability to work independently in a fully remote environment.Preferred Skills:Experience with Python or R for data analysis and modeling.Background in B2B SaaS analytics with multi-tenant data considerations.Familiarity with event tracking systems and product analytics platforms (Amplitude, Mixpanel, Segment).Experience building predictive models for churn or customer health.Knowledge of data warehousing concepts and ETL processes.Experience with pricing analysis and monetization optimization.Understanding of machine learning basics and working with ML teams.Experience at early-stage startups establishing analytics foundations.

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