What you'll do
Prepare and maintain Excel and Power BI reports to analyze usage, productivity, and recognition metrics.
- Forecast data trends, generate leads, and identify gaps for focused enhancements in customer success processes.
- Design, develop, and implement generative AI models and algorithms in partnership with R&D and cross-functional teams.
- Optimize existing GenAI models for improved performance, scalability, and efficiency.
- Establish and promote best practices and standards for generative AI development within the organization.
- Consolidate and analyze unstructured data sources to generate actionable insights for CRM product enhancement.
- Develop, code, and automate processes to cleanse, integrate, and evaluate large datasets from multiple sources.
- Interpret and communicate insights to product, service, and business managers for informed decision-making.
- Build system-generated reports, dashboards, and reporting tools to support data informatics and business intelligence.
- Evaluate agentic support models for ROI and integrate them into CRM systems.
- Design, develop, and test web-based prototypes and applications, focusing on user interface and experience.
What you need
- Proficiency in data science, AI model development, and advanced analytics.
- Experience with CRM platforms (Salesforce), data integration tools (Coveo, SharePoint, Snowflake), and data visualization (Power BI, Tableau, Advanced Excel).
- Strong programming skills in Python, HTML, Java, Node.js, and database management (PostgresSQL, MongoDB, MySQL, JSON).
- Ability to design and develop web-based prototypes, dashboards, and reporting tools.
- Experience in quantitative analysis, business intelligence, and communicating insights to diverse audiences.
Why this matters
Drive data-driven improvements in customer support systems, enhancing productivity and recognition.
Enable strategic decision-making through business intelligence insights for product and service teams.
Advance Synopsys’ AI capabilities by designing and optimizing generative AI models for scalability and efficiency.
Elevate the quality and user experience of CRM and customer-facing web applications.
Foster a culture of innovation by establishing best practices in AI development and analytics.
Promote cross-functional collaboration, sharing knowledge and driving impactful solutions across teams.
