Intelligence Analyst

该职位来源于猎聘 The Innovation Intelligence Analyst is responsible for bridging the gap between strategic business questions and the data needed to answer them. This role will focus on supporting the innovation lifecycle—from early-stage consumer insights and market trend identification to post-launch performance analysis—by providing clear, actionable data analysis and reporting. The analyst will design and maintain dashboards, run deep-dive analyses, and deliver insights that directly inform investment decisions in new materials, technologies, and product launches. Key Responsibilities:

• Data Analysis and Insight Generation 1) Market & Consumer Insights: Proactively analyze market data, competitive intelligence, and consumer behavior data to identify emerging trends, unmet customer needs, and potential white space opportunities for innovation. 2) Performance Tracking: Develop, automate, and maintain dashboards and reports to track the performance of new and innovative products, campaigns, and projects against key business metrics (e.g., adoption rates, margin, customer lifetime value). 3) Deep-Dive Analysis: Conduct ad-hoc statistical analysis and data mining to investigate complex business questions related to innovation, such as the correlation between specific features/technologies and long-term customer retention.
• Data Infrastructure and Reporting 1) Data Modeling: Partner with data engineering and IT teams to ensure the necessary data structures and pipelines are in place to support innovation-related reporting and analysis. 2) Report & Dashboard Creation: Design, develop, and maintain BI tools (e.g., Tableau, Looker, Power BI) dashboards for key stakeholders, ensuring data is accurate, reliable, and easily accessible. 3) Data Integrity: Ensure data accuracy across multiple data sources, performing rigorous quality checks and troubleshooting data anomalies.
• Strategic Partnership 1) Stakeholder Communication: Present complex data findings and actionable recommendations in a clear, concise manner to non-technical stakeholders, including executive leadership, R&D, Product Development, and Marketing teams. 2) Process Improvement: Propose and champion new analytical methods, tools, and data sources that can enhance the innovation team’s decision-making capabilities.
• Innovation Industry Movements Intelligence Collection and Sharing. Qualifications and Experience：
• Education: Bachelor’s degree in Business, Economics, Statistics, Computer Science, or a related quantitative field. Master's degree is a plus.
• Experience: 3+ years of experience in a Business Intelligence, Data Analyst, or similar quantitative role, with a focus on supporting R&D, Product, or Innovation teams.
• Technical Proficiency: 1) Expert-level proficiency in SQL for data querying and manipulation. 2) Proven experience with BI platforms (e.g., Tableau, Looker, Power BI). 3) Experience with a statistical programming language (e.g., Python, R) is highly desirable. 4) Familiarity with cloud data warehousing solutions (e.g., Google BigQuery, Snowflake) is a plus. Skills and Competencies：
• Analytical Thinking: Exceptional ability to translate ambiguous business problems into clear analytical frameworks and hypotheses.
• Communication: Excellent verbal and written communication skills, with the ability to tell a story with data and influence strategic decisions.
• Curiosity: A strong passion for understanding new technologies, market dynamics, and consumer psychology.
• Attention to Detail: Meticulous approach to data validation and quality assurance.
• Collaboration: Proven ability to work effectively in a cross-functional environment with both technical and business teams.