Job Summary:
The AI Data Analyst transforms business questions and complex data into trusted analyses, dashboards, predictive insights, and responsible AI-enabled solutions. This role combines analytics, reporting, visualization, and emerging AI technologies to improve operational efficiency and business performance. The ideal candidate is a recent Master’s graduate or early-career professional who is passionate about data, technology, and solving business challenges in a growing biopharmaceutical company.
Responsibilities:
- Partner with business leaders across functional areas to understand business objectives, identify opportunities for data-driven decision making, and translate business questions into actionable analytical solutions.
- Analyze large and complex datasets to identify trends, patterns, opportunities, and risks that support operational, commercial, financial, and strategic initiatives across the organization.
- Design, develop, and maintain dashboards, scorecards, reports, and visualizations using Power BI or similar business intelligence tools to provide meaningful insights to stakeholders at all levels of the organization.
- Collect, cleanse, validate, and integrate data from multiple internal and external sources to ensure accuracy, consistency, and reliability of reporting and analytics solutions.
- Utilize SQL, Python, and other analytical tools to perform ad hoc analyses, automate reporting processes, improve data accessibility, and support business performance monitoring.
- Support forecasting, trend analysis, scenario planning, and performance measurement initiatives by applying statistical and quantitative techniques to business data.
- Collaborate with Information Technology, Commercial, Market Access, Finance, Human Resources, Manufacturing, Quality, and other departments to support enterprise reporting and analytical initiatives.
- Assist in the evaluation, development, and implementation of artificial intelligence and automation solutions that improve efficiency, enhance decision making, and streamline business processes.
- Explore emerging technologies, advanced analytics methodologies, and AI tools to identify innovative opportunities that create measurable business value.
- Present analytical findings, recommendations, and business insights to technical and non-technical audiences through clear visualizations, executive summaries, and presentations.
- Participate in data governance, data quality, privacy, security, and compliance initiatives to ensure the integrity and responsible use of company information and AI-enabled solutions.
- Maintain documentation of data sources, methodologies, assumptions, and reporting processes to support transparency, consistency, and knowledge sharing across the organization.
Qualifications: