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Data / Business Analyst - Hybrid
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Job Description
- Req#: 24-69955
Employer Industry: Retail Analytics
Why consider this job opportunity:
- Salary up to $80.00/hr
- Opportunity for career advancement and growth within the organization
- Work collaboratively with cross-functional teams to influence strategic decisions
- Engage in innovative projects utilizing advanced machine learning techniques
- Supportive work environment that values analytical skills and problem-solving abilities
- Chance to impact retail sales strategies across various product categories
What to Expect (Job Responsibilities):
- Apply expertise in quantitative and qualitative analysis to derive actionable insights and business predictions
- Develop data science and optimization models for customer segmentation and promotion analysis
- Source, combine, and synthesize large datasets from various sources using Python
- Conduct industry analysis to identify trends, patterns, and forecasts in the retail sector
- Create effective visualizations to assist users in interacting with forecasting models
What is Required (Qualifications):
- Bachelor's degree in business, Analytics, Data Science, Statistics, Mathematics, or a similar field (master's degree preferred)
- 4+ years of work experience in Retail Performance analytics and data modeling
- Highly skilled in Excel and Python (Pandas, Scikit-Learn, TensorFlow, Keras)
- Strong applied statistical skills, including knowledge of regression and statistical tests
- Proficient in data wrangling and handling data imperfections
How to Stand Out (Preferred Qualifications):
- Experience with machine learning methods such as clustering and time series forecasting
- Familiarity with data visualization tools like Tableau
- Proven ability to build and deliver impactful presentations
- Strong collaboration skills within retail teams
- Analytical mindset with a solid business sense
#RetailAnalytics #DataScience #MachineLearning #CareerOpportunity #DataVisualization
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