Intelligent Insights Developer

4 days ago

Koṭa, India beBeeData Full time

About UsWe are seeking a skilled professional to join our team as a Data Analyst.Job Responsibilities: The selected candidate will be responsible for analyzing complex datasets, building data models, and creating reports that communicate insights to stakeholders.The ideal candidate will have strong SQL skills, experience with data visualization tools, and proficiency in statistical analysis.Data Analysis: This role involves analyzing user behavior, product usage, and AI-driven insights to identify patterns and opportunities for growth.Growth Support: The successful candidate will support growth and marketing initiatives by analyzing funnel data, cohort analysis, and campaign performance measurement.Customer Health Scoring: Develop customer health scoring models to predict churn and identify expansion opportunities.Feature Adoption: Partner with the product team to measure feature adoption and impact of new releases.A/B Testing: Design and analyze A/B tests and experiments to guide product decisions.Pricing Analysis: Contribute to pricing analysis and packaging decisions based on usage data.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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