Lead Data Analyst - R01562072

Lead Data Analyst

Primary Skills • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Specialization • Data Science Advanced: Data Analyst Job requirements • * JTBD Analysts (USA):

The ideal candidate will demonstrate expertise in A/B testing implementation, exploratory data analysis (EDA), quantitative and qualitative analysis, along with the ability to translate ambiguous inputs into structured frameworks and actionable insights.

Key Responsibilities • Support AI-enabled operational execution, reporting, and analytics initiatives across business functions. • Deliver high-quality analytical outputs within defined timelines for strategic and operational projects. • Design and implement A/B testing experiments, including hypothesis creation, experiment setup, statistical validation, and result interpretation. • Conduct comprehensive Exploratory Data Analysis (EDA) to uncover trends, patterns, and opportunities. • Perform advanced quantitative analysis using statistical techniques and modeling methods. • Synthesize qualitative data (customer feedback, interviews, survey responses) into structured, measurable insights. • Manage throughput and real-time triage workflows, ensuring prioritization of high-impact initiatives. • Collaborate with product-facing teams to support data-driven decision-making and workflow optimization. • Convert ambiguous or loosely defined business problems into clear analytical frameworks and structured problem statements. • Develop executive-ready dashboards, reports, and presentations. • Demonstrate strong business writing and storytelling skills to communicate complex findings in a concise and impactful manner.

Required Qualifications • Experience in Data Analytics, preferably in CX, product analytics, or operational analytics environments. • Proven hands-on experience in: • A/B testing implementation and experimentation frameworks • Hypothesis testing and statistical validation • Exploratory Data Analysis (EDA) • Quantitative and qualitative analysis • Experience supporting AI-driven or operational analytics initiatives. • Proficiency in SQL and at least one programming language (Python or R). • Strong experience with data visualization and reporting tools (Tableau, Power BI, Looker, etc.). • Demonstrated ability to manage high-volume workstreams and real-time analytical triage. • Excellent written communication and business storytelling skills. • Ability to work aligned to North America business hours.

Salary: 115-120 USD per year salary