Experience in analytics tools such as: SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies.Knowledge of AB Testing methods, including statistical analysis.Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them.Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results.Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations.Solid problem solving, analytical skills, and data curiosity.Intermediate SQL experience writing complex queries.Bachelor’s degree with strong academic performance in a quantitative field or strong equivalent experience.Job duties may change at any time due to business needs. BI tools and technologies Descriptive & inferential analytics Engage with learningforums tohelp increase awareness and adoption of current technicaltopics relevantfor Data Analyst competency e.g.Measure success rate of how dashboard/analysis/insights are adapted into decision making, create feedback loops toenhance analysis.Be self-directed and drive execution towards outcomes, learn business interdependencies, conduct detailed problem solving, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines.
Support creation of problem statement, approach, and the metrics and measurement strategy, including success criteria, to determine and improve the value of your work through a deep understanding of the business, business process, data ecosystem and rapid data mining.Build expertise in Data function and integrate with business partners and other data teams to accelerate the product development lifecycle.Develop impactful visualizations and insights and be able to communicate them to business partners in a clear, compelling manner.This role is centered around data, analysis, metrics development, experimentation (A/B Testing) and its application to our websites and mobile apps.Together, we create positive impact across Digital initiatives that require actionable insights, measurement, and analysis, to server our guests better. We see data as a product, and as an opportunity to refine our approach to the ever evolving retail landscape. A role with Target’s Marketing and Digital Data Analytics team is a chance to help develop our in-house strength for getting the maximum value from Target’s many data assets. You will do this by becoming a trusted advisor to your partners through thought leadership, data acumen and effective storytelling. Join Target’s Digital Product Analytics team where your goal will be to help the Digital Product team make impactful data-driven decisions. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners. Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.īehind one of the world’s best loved brands is a uniquely capable and brilliant team of analysts, scientists, product owners and engineers.
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