Data Analyst

Overview

Data Analyst

Data Analysis & Insight Generation

• Collect, clean, and analyze structured and unstructured data from multiple sources to support product, marketing, and operations teams.
• Develop and maintain reports and dashboards that communicate key performance indicators (KPIs), trends, and anomalies.
• Perform exploratory data analysis and root-cause investigations to answer business questions and recommend data-driven actions.

Data Modeling & Pipeline Collaboration

• Collaborate with Data Engineering to define data requirements, improve ETL/ELT processes, and ensure data quality and consistency.
• Design and validate data models and metrics to ensure reliable and repeatable analyses across teams.
• Document data sources, transformation logic, and metric definitions to promote transparency and reproducibility.

Reporting, Visualization & Communication

• Create clear, effective visualizations and presentations that communicate insights, trade-offs, and recommendations to stakeholders.
• Partner with Product and Business teams to translate analytic results into prioritized roadmap items and operational improvements.
• Provide ad-hoc analyses and respond to data requests with well-documented methodologies and reproducible code.

Testing, Measurement & Experimentation

• Support experiment design, implementation, and analysis (A/B testing), including metric selection, power calculations, and interpretation of results.
• Define and track success metrics for new features and product launches to measure impact and guide iteration.
• Implement monitoring to detect data drift, metric regressions, and pipeline failures impacting business reporting.

Documentation, Governance & Collaboration

• Maintain thorough documentation of analyses, dashboards, data dictionaries, and standard operating procedures.
• Advocate for data governance best practices, including access controls, lineage tracking, and consistent metric definitions.
• Mentor colleagues on data literacy and partner across teams to embed analytics into decision-making processes.