Job ID: 24-03509 Pay rate range - $58/hr. to $61/hr. on W2
Plano, TX - 4 days onsite

Top skills: Alteryx, Advanced Analytics, R/ Python

KEY RESPONSIBILITIES/REQUIREMENTS:

Main responsibilities include the following:
• Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights
• Timely delivery of deep-dive analyses - Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis
• Highly skilled in Data Mining using Alteryx. Source, combine, and synthesize large amounts of data from various data sources.
• Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights.
• Conduct Industry analysis: Analyze trends, patterns, early warnings, and forecasts. Utilize syndicated and other sources for periodical Retail industry assessment
• Collaborate with the peer Data Science teams in developing and maintaining predictive forecasting models.
• Effective visualization for users to interact with the forecasting model
• Recommend strategic action plans for retail to drive sales across all product categories.
• Presentation skills in being able to tell the story behind the numbers.
• Maintain data quality and implement data governance measures on databases.
• Establish and maintain regular automated reporting that analyzes data from multiple sources to provide insights into the performance of the mobile business leveraging Tableau and other data visual tools.

Background/Experience Required:
• Bachelor's degree in Business, Analytics, Data Science, Statistics, Mathematics, or a similar field of study (Master's Degree preferred)
• 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling
• Technical skillset: Expert level Alteryx skills, Intermediate - Expert in Tableau, Advanced Excel, Power Point, R/ Python
• Ability to source, combine and synthesize large amounts of data from various sources to complete statistical modeling, A/B testing, cluster analysis, sample size calculations and tests of significance
• Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.
• Capability to thrive in dynamic, fast-changing environment that requires a high degree of multi-tasking with minimal supervision
• Plan, organize, and prioritize multiple complex assignments and projects. Read and interpret detailed and complex customer requirements