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Advanced Analytics Specialist
2 months ago
Job Overview
Insight Global is seeking an Advanced Analytics Specialist to join a dynamic team focused on leveraging data to drive business insights and decision-making.
This role involves managing reporting processes and developing predictive models to enhance operational efficiency and strategic initiatives.
Main Responsibilities:
- Utilize both quantitative and qualitative analysis to extract trends and translate them into actionable insights.
- Implement Machine Learning methodologies, including regression, classification, clustering, and neural networks, to inform business predictions and demand forecasts.
- Develop and optimize models for customer segmentation, product mix analysis, and promotional effectiveness.
- Conduct comprehensive data mining using Python, synthesizing large datasets from diverse sources.
- Collaborate cross-functionally to identify organizational gaps and emerging trends, proposing solutions based on thorough qualitative analysis and market research.
Industry Analysis:
- Analyze market trends, patterns, and forecasts to provide valuable insights.
- Utilize various data sources for periodic assessments of the retail landscape.
Collaboration:
- Work closely with Data Science peers to develop and maintain predictive forecasting models.
- Create effective visualizations to facilitate user interaction with forecasting tools.
- Recommend strategic initiatives to enhance sales across product categories.
Presentation Skills:
Demonstrate the ability to effectively communicate the narrative behind data findings.
We are committed to fostering diverse and inclusive work environments where individuals can express their authentic selves. As an equal opportunity employer, we value every candidate's unique background and experiences.
Qualifications:
- Bachelor's degree in Business, Analytics, Data Science, Statistics, or Mathematics.
- 4+ years of experience in Retail Performance Analytics and Data Modeling.
- Proficient in Python (Pandas, Scikit-Learn, TensorFlow, Keras).
- Strong applied statistical skills, including knowledge of statistical tests and regression analysis.
- Familiarity with Machine Learning techniques such as Clustering, k-Nearest Neighbors, and Time Series Forecasting.
- Proficient in Data Wrangling and Data Visualization tools like Power BI and Tableau.
- Hands-on experience with data science tools is preferred.
We are dedicated to creating a workplace that respects and values diversity. Qualified candidates will be considered for employment without regard to race, color, ethnicity, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability, or any other characteristic protected by applicable laws.
