Retail Analytics Professional
1 week ago
We are seeking a highly skilled Data Analyst to join our team at Staffmark Group. As a Data Analyst, you will be responsible for supporting our Retail Teams with deep analysis using data science models and tools.
Key Responsibilities- Apply expertise in quantitative and qualitative analysis to synthesize trends into actionable insights.
- Develop and implement data science and optimization models for Customer Segmentation, Product Mix and Promotion Mix analysis, Multi-variate models, Turf Analysis.
- Source, combine, and synthesize large amounts of data from various data sources using Excel and Data Mining using Python.
- Work cross-functionally to identify current organization gaps and emerging trends and recommend solutions based on qualitative analyses and market insights.
- Analyze trends, patterns, early warnings, and forecasts, utilizing syndicated and other sources for periodical Retail industry assessment.
- Effectively visualize data for users to interact with the forecasting model.
- Bachelor's degree in Business, Analytics, Data Science, Statistics, Mathematics, or similar field of study (Master's Degree preferred).
- 4+ years of work experience in Retail Performance analytics, Data analytics with data modelling.
- Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras), good applied statistical skills, and knowledge of statistical tests, distributions, regression, maximum likelihood estimators.
- Good knowledge of machine learning methods like Clustering, k-Nearest Neighbors, Decision Forests, Time series Forecasting.
- Proficiency in handling imperfections in data.
- Good knowledge of Data Visualization Tools Tableau.
- Analytical mind and great business sense, problem-solving aptitude, excellent oral and written communication skills, and demonstrated experience building and delivering presentations.
Staffmark Group is committed to providing equal employment opportunity for all persons regardless of race, color, religion (including religious dress and grooming practices), sex, sexual orientation, gender, gender identity, gender expression, age, marital status, national origin, ancestry, citizenship status, pregnancy, medical condition, genetic information, mental and physical disability, political affiliation, union membership, status as a parent, military or veteran status, or other non-merit based factors.
Estimated salary range: $95,000 - $115,000 per annum, depending on qualifications and experience.
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