Use storytelling to present data in a clear and engaging manner, making it accessible and meaningful to audiences with varying degrees of technical expertise.
Provide high-quality data visualizations to support analyses, presented through automated dashboards and ad-hoc reports.
Manage analyses across competing priorities to focus on the most impactful work to maximize the value of your work to the business.
Partner with key stakeholders to define success and develop measurement frameworks.
Present the results to the stakeholders and guide them to make the best use of the insights for their purposes and use-cases.
Use advanced analytical and statistical practices to create thorough and actionable insights.

Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
2+ years hands-on professional experience in Data Science and Analytics.
2+ years of strong coding skills in at least one statistical or programming language (e.g., R, Python) to import, process, summarize, and analyze data.
Experience with utilizing data visualization tools to tell compelling data stories (e.g., Power BI, Tableau, Shiny, Plotly, GGPlot).
A solid grasp of the scientific method and its application to Data Science.
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical techniques and when best to apply given current situation.
Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, GCP preferred).
Experience managing large projects or workstreams as a Data Analyst/Data Scientist.

Data Analyst 2, Stores & Finance

Key skills