Job Description

W2 position for 6 months

Seeking a Data Analyst and Data Visualization Specialist to support the Merchandise Planning and Inventory Management (MPIM) data analytics and reporting team. The ideal candidate should be an excellent storyteller and a strong technical contributor with experience in solving business problems using data-driven tools. The responsibilities include delivering a suite of analytical products such as analyses, dashboards, insights, and recommendations. Collecting, analyzing, and presenting data to enhance strategic decision-making and tracking the benefits of data products are key aspects of the role. A high level of curiosity about the business and the ability to uncover impactful insights from data are essential. Effectively communicating these insights is essential for building confidence and enabling decisions that drive business value.

About the Job

• Conduct analysis on complex retail data, measure and track data created by data products, and convert them into key KPI metrics.
• Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support.
• Create dashboards to track the adoption and business impact of launched features and data products.
• Dive deep into complex business problems, provide insights, and partner with cross-functional teams on implementation.
• Collaborate with data science, data analytics, and product managers on planning, goal setting, and prioritization.
• Work with data and engineering teams to improve data quality, data analysis, and business debugging.
• Bring data to life through storytelling in a clear and meaningful way to audiences with varying levels of technical expertise, informing key strategic decisions.
• Promote a culture of data-driven technical excellence, ownership, and collaboration.
• Optimize and standardize reporting through automation

About You

• Over 3 years of professional experience in analyzing complex data, drawing conclusions, and making recommendations.
• More than 3 years of applied data visualization experience, with proficiency in Looker or PowerBI.
• At least 3 years of experience in extracting and manipulating large data sets from various relational databases using SQL (experience with Google BigQuery or MSsql).
• Experience with data integration tools such as Data Fusion, Alteryx, or Dataiku is a plus.
• Coding skills in at least one statistical or programming language (preferably Python or R) to import, summarize, and analyze data is a plus.
• Hands-on experience working with big data, such as sales, inventory management, and planning; retail knowledge is an advantage.
• Ability to translate and present complex analysis in executive summaries, with clear and effective written and verbal communication, and strong interpersonal skills.
• Strong problem-solving abilities.
• A Bachelor's degree in Economics, Statistics, Data Science, or Data Engineering (a Master's degree is a plus) or equivalent experience

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