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Tier-1 brand, metro location, popular data role, and broad toolset increase candidate competition.
Core analytics skills are transferable, but retail forecasting and Adobe/GA experience favor retail candidates.
Requires 1+ years plus multiple analytics tools and forecasting knowledge, so moderate filtering on skills.
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Own data analysis and support decision-making through complex SQL queries and data visualizations.
Perform data mining, creation, and consolidation to support project workstreams and measure business objectives.
Communicate findings effectively to both business and technical teams, translating analytical insights into understandable stories.
Bachelor's degree or equivalent experience in a quantitative field.
At least 1 year of experience as a Data Analyst or strong equivalent experience.
Intermediate proficiency in SQL including writing complex queries.
Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, or Adobe Analytics (or Google Analytics).
Experienced in AB Testing methods, time series analysis, S&OP planning, and forecasting models including statistical analysis.
Able to ask critical questions about business objectives and measurement needs to guide analytics efforts.
Skilled in translating complex data insights into clear communications for mixed technical and business audiences.