Senior Product & AI/ML Data Analyst
Robotics technology LLC Atlantic City
Key Responsibilities Conduct product analytics and user behavior analysis to drive data-backed decisions. Develop and maintain dashboards, reports, and data visualizations using Qlik Sense, Tableau, or similar tools. Apply AI/ML models to analyze trends, optimize product performance, and drive automation.
Define and track product success metrics, KPIs, and A/B testing experiments. Leverage statistical analysis and predictive modeling to identify patterns and trends. Provide business intelligence insights that impact product growth, customer engagement, and retention.
Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights. Ensure data integrity, consistency, and governance across reporting and analysis efforts. Stay up to date with emerging AI/ML trends and analytics best practices.
Required Skills & Qualifications 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc. Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio.
Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/B testing, experimental design, and data instrumentation. Knowledge of predictive modeling, clustering, and classification techniques. Ability to transform complex data into simple, compelling insights for business stakeholders.
Experience working with large-scale datasets and structuring unstructured data for analysis. Strong communication skills to present data findings and drive decision-making. Experience in a scripting language to automate and reuse code (optional but encouraged We are an equal opportunity employer.
Define and track product success metrics, KPIs, and A/B testing experiments. Leverage statistical analysis and predictive modeling to identify patterns and trends. Provide business intelligence insights that impact product growth, customer engagement, and retention.
Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights. Ensure data integrity, consistency, and governance across reporting and analysis efforts. Stay up to date with emerging AI/ML trends and analytics best practices.
Required Skills & Qualifications 5-8+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc. Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio.
Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/B testing, experimental design, and data instrumentation. Knowledge of predictive modeling, clustering, and classification techniques. Ability to transform complex data into simple, compelling insights for business stakeholders.
Experience working with large-scale datasets and structuring unstructured data for analysis. Strong communication skills to present data findings and drive decision-making. Experience in a scripting language to automate and reuse code (optional but encouraged We are an equal opportunity employer.
All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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