Phoenix Recruitment · 13 hours ago

Mid-Level Staff Product Data Analyst

Chicago, IL

Full-time

Remote

Mid, Senior Level

$90K/yr - $100K/yr

7+ years exp

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Responsibilities

An exceptional storyteller through dashboards and oral presentations to effectively communicate insights and recommendations to stakeholders across all organizational levels.

Collaborate closely with product owners and marketing teams to analyze the value of new features, enhancements, and projects as well as provide insights and hypotheses that will lead to experiment design in efforts of growth, retention, and expansion

Based on exploratory analysis, create customer profiles, and develop metrics such as LTV and Churn based on these profiles

Build out scalable data models that serve as the single source of truth for the growth product teams to be leveraged across the organization

Analyze and recommend improvements to website performance by examining customer experience, conversion effectiveness, abandonment points, customer demographics, and website usability trends.

Experimentation Evangelist - educate and promote a data-driven culture through experimentation

Qualification

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Product AnalyticsSQLA/B TestingData ModelingRPythonStatistical AnalysisCausal InferencingVisualization

Required

7+ years of experience in a highly analytical role, with at least 5+ years in a product analytics/data science role, preferably in a Product Led Growth organization with a focus on growth OR master or Ph.D. degree with 3+ years of demonstrated experience in a product led growth organization with a focus on growth optimization

Advanced proficiency in SQL and A/B testing, as well as an understanding of data warehouse principles including data modeling

Experience in product-led growth A/B experiments involves understanding product metrics, formulating hypotheses, designing and implementing tests, analyzing results, and optimizing based on findings to drive key metrics like activation, retention, and revenue

Proficiency in utilizing scalable packages/libraries for experimentation, power analysis, in-depth statistical analysis, causal inferencing, and visualization in R or Python

Excellent analytical and problem-solving skills, with the ability to identify and prioritize growth opportunities based on data and experiment results

Strong written and verbal communication skills and the ability to distill complex analytical solutions into actionable insights and communicate business impact to non-technical audiences

A demonstrated self-starter with excellent prioritization skills, able to drive projects to completion with minimal guidance