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.

Requirements

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data AnalyticsA/B testingHypothesis testingStatistical validationExploratory Data AnalysisQuantitative analysisQualitative analysisSQLPythonR

Soft Skills

Business writingStorytellingCollaborationProblem-solvingCommunicationTime managementAnalytical thinkingPrioritizationAdaptabilityAttention to detail