Advanced Data Insight Analyst III

PhD, Master’s, or Bachelor’s (preferably in Mathematics or a scientific field) with 2-4 years of experience, or 4+ years in a comparable data analytics role.
Proven ability to deliver data-driven insights that drive business impact through various analytics techniques.
Advanced proficiency in R, Python, or SQL for data analysis, transformation, and visualization of large datasets.
Experience executing analytics projects across business areas autonomously with strong business acumen.
Strong skills in critical thinking, problem-solving, communication, and stakeholder influence.
Proficiency in statistics, SQL, Python, R, and data visualization for diverse audiences.
Understanding of business acumen and basic machine learning concepts.
Understanding of marketing, returns and search marketing channel dynamics.

Extract, integrate, and analyze data from multiple sources to support business insights and model building.
Apply statistical techniques (e.g., regression, A/B testing, ANOVA) and collaborate with ML teams to scale models.
Select appropriate measurement methodologies (e.g., causal impact, multivariate testing) based on business needs.
Engage stakeholders early to clarify objectives and align analytics solutions with decision-making.
Present insights clearly to technical and non-technical audiences, adapting communication as needed.
Write efficient, shareable code, ensuring reproducibility and following best practices for data quality and optimization.
Create impactful visualizations using tools like Tableau, Power BI, charting packages (ggplot, plotly), applying inclusive design principles.
Automate reporting, build scalable dashboards, and empower stakeholders with self-serve analytics tools.
Write and optimize advanced SQL queries across different platforms (Presto, Hive, PostgreSQL, Spark).
Develop and maintain data pipelines, adapting quickly to new tools and methodologies.
Frame complex problems into actionable analytics tasks, proactively identifying and resolving roadblocks.
Stay curious, continuously learning and applying new techniques to improve analytics capabilities.