Sas
3 days ago
**Job Summary**
**Responsibilities**
- Analyze large and complex data sets to identify trends and insights that drive business decisions.
- Utilize SAS and LS Salesforce to manage and analyze data effectively.
- Collaborate with Sales and Marketing teams to provide data-driven insights that enhance campaign effectiveness.
- Leverage Dataiku and Machine Learning techniques to build predictive models and improve forecasting accuracy.
- Calculate ROI for various business initiatives to ensure optimal resource allocation.
- Use Alteryx for data preparation blending and advanced analytics.
- Implement Retail Demand Forecasting techniques to predict future sales and inventory needs.
- Develop and maintain complex Excel spreadsheets for data analysis and reporting.
- Write efficient SQL scripts to extract manipulate and analyze data from various databases.
- Create compelling presentations using MS PowerPoint to communicate findings and recommendations to stakeholders.
- Ensure data accuracy and integrity by performing regular data quality checks.
- Provide actionable insights that support strategic planning and decision-making processes.
**Qualifications**
- Hold a Bachelors degree in a relevant field such as Data Science Statistics or Computer Science.
- Have a minimum of 6 years of experience in data analysis or a related field.
- Demonstrate proficiency in SAS LS Salesforce and Managed Market analytics.
- Show expertise in Brand Analytics and Sales and Marketing data analysis.
- Be skilled in using Dataiku and Machine Learning for predictive modeling.
- Have experience in ROI Calculation and Retail Demand Forecasting.
- Be proficient in Alteryx MS Excel Python SQL Scripting and MS PowerPoint.
- Possess strong analytical and problem-solving skills.
- Exhibit excellent communication and presentation abilities.
- Be detail-oriented with a focus on data accuracy and quality.
**Certifications Required**
Certified SAS Professional
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