AI Productivity Enhancement Specialist
7 days ago
**Company Overview**
Salesforce is a cloud-based software company that provides customer relationship management (CRM) solutions to businesses. Our mission is to help companies succeed by providing innovative technology and expertise.
Estimated Salary:$170,000 - $220,000 per year
About the Role:
We are seeking a talented AI Productivity Enhancement Specialist to join our team. The ideal candidate will have a strong background in data analysis and visualization, with experience in analyzing and reporting on large datasets.
Key Responsibilities:
- Analyze large datasets to identify trends, opportunities, and challenges in AI-powered tools and features.
- Develop and maintain reports and dashboards to track key metrics and KPIs.
- Develop and track metrics to measure the impact of AI tools on developer productivity and satisfaction.
- Collaborate with data scientists and product managers to develop and refine metrics.
- Create data visualizations to communicate insights and trends to stakeholders.
- Use data visualization tools such as Tableau or D3.js to create interactive and dynamic reports.
- Ensure data quality and integrity by identifying and addressing data discrepancies and errors.
- Collaborate with data engineers to develop and implement data quality control processes.
- Develop and maintain regular reports to provide insights and recommendations to stakeholders.
- Collaborate with cross-functional teams to identify areas for improvement and provide data-driven insights.
- Design and execute experiments and A/B tests to measure the impact of AI-powered features on developer productivity and satisfaction.
Core Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- 5+ years of experience in data analysis, with a focus on analyzing and reporting on large datasets.
- Experience with data visualization tools and techniques.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with data analysis and visualization tools, including Tableau, Power BI, or D3.js.
- Knowledge of data manipulation and analysis techniques, including data mining and statistical analysis.
- Strong analytical skills with expertise in statistical modeling and machine learning techniques (e.g., regression analysis, classification, clustering).
- Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams (engineering, product management).
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