Develop and maintain reporting systems that provide important data and performance indicators related to product performance.
Create visually compelling dashboards for easy consumption of product-related information.
Collaborate with teams from multiple functions to support strategic decision-making processes.
Provide data-driven insights to influence product development, marketing, and sales strategies.
Evaluate the performance of existing products, identifying areas for optimization and improvement.
Work with product managers to assess the impact of product changes on key performance metrics.
Collaborate with internal teams, including Product Management, Manufacturing, Project Execution teams, Product Development teams, Marketing, and Sales, to align product intelligence efforts with overall business goals.
Communicate insights effectively to both technical and non-technical collaborators.
Implement processes for continuous improvement in data collection, analysis, and reporting.
Stay abreast of industry standard methodologies in business intelligence and product management.
Monitor competitors’ offerings, strategies, messaging, and market positioning.
Requirements
Bachelor's degree or equivalent experience in Business or Business Analytics, Data Analytics, Statistics, Computer Science, or a related field.
Relevant certifications in business intelligence or data analysis preferred.
5+ years of experience in business intelligence, data analysis, or a related role.
Experience in the product management or technology industry is a plus.
Strong analytical and quantitative skills with proficiency in data analysis tools and techniques.
Expert in business intelligence tools such as Power BI, SAP ecosystems including SAP Analytics Cloud (SAC), and integration with enterprise data platforms such as Snowflake.
Must have practical experience in developing and maintaining reports with these tools.
Hands-on experience in JIRA.
Conversant with M365 software ecosystem including SharePoint, Power Automate, and Power Apps.
Knowledge of product management principles and understanding of the product development lifecycle.
Familiarity with market research methodologies.
Experience using Generative AI / LLMs for data exploration, hypothesis generation, and automated insight summarization for business use.