Analyze data, build models, test hypotheses, find root causes, develop prototypes, forecast performance, create Power BI reports, and write SQL scripts.
Extract insights from these data activities to inform business decisions.
Use descriptive (what happened) and diagnostic (why did it happen) analytics to develop specific, actionable recommendations for business leaders.
Define metrics that are independent, holistic, accurate, encourage the right behaviors, and are aligned with company strategy and objectives.
Manage relationships and small projects with cross-functional stakeholders.
Map business processes to their corresponding data flows.
Proactively identify and surface opportunities to improve efficiency for Operation and Internally as well.
Requirements
3+ years of experience in data science, data analysis, analytics, business intelligence, or reporting.
2+ years' experience working with Power BI and in SQL, experience with R, Python, appscripts, redshift, bigquery.
Experience in doing exploratory data analysis, prototyping, testing hypotheses, performing root cause analyses, modeling business processes, building forecasts, creating predictive models, defining metrics, and/or measuring business performance.
Track record of linking data and analytics to business strategy and operations to drive real impact.
Working knowledge of probability and statistics.
Exceptional written and verbal communication skills, including the ability to explain complex issues in a simple and intuitive way.
Must be at a C1 English level in verbal and written communication to be considered for this role.