Sr. Retail Performance Analyst

3 days ago


Plano, United States Insight Global Full time

Required Skills & Experience:

• Bachelor’s degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Master’s Degree preferred)

• 5+ years of work experience in Retail Performance analytics, Data analytics with data modelling

• Knowledge of Python skills (Pandas, Scikit-Learn, TensorFlow, Keras, )

• Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators.

• Data Wrangling and mining- proficiency in handling imperfections in data

• Good knowledge of Data

• Hands-on experience with data science tools

• Problem-solving aptitude

• Analytical mind and great business sense

• Excellent oral and written communication skills, with demonstrated experience building and delivering presentations. Collaboration within Retail teams is a priority for this role.


Nice to Have Skills & Experience

• Master's Degree preferred

• Retail background preferred

• Machine learning background


Job Description:

Insight Global is looking for a Retail Performance Analyst who specializes in Advanced Analytics to join a large Telecom Retailer in Plano, TX. This team is looking for someone to manage both the reporting and building forecasting models for production and proposals. Main responsibilities include the following:

• Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights. Experience with Machine Learning techniques, such as regression, classification, clustering, and neural networks, Naive Bayes. Outline business predictions to predict forecasts of demand and promote overall efficiency

• Data science and optimization models – Customer Segmentation, Product Mix and Promotion Mix analysis, multi-variate models, Turf Analysis

• Highly skilled in Data Mining using Python. 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.



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