Portfolio Analyst

What you will do

Lets do this. Lets change the world. The Portfolio Analyst position offers a unique opportunity to join a fun, innovative engineering team within the Enterprise Data Strategy and Engineering (EDSE) organization. Youll work on building next-generation capabilities and services in Data and AI using innovative open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, ensuring alignment with organizational priorities.

As a Portfolio Analyst, for business performance, you will monitor departments performance looking at various projects and providing the updates.

You will get connected with different teams: engineering, product, project management etc. to understand and report the performance.

Business Performance reporting

• Monitor and track financials for the department.

• Monitor and track org performance.

• Help to present and communicate to leadership with weekly, monthly and quarterly reports for performance.

Data analysis and Provide insights

• Help leadership team with insights into gaps and area of improvement for business performance.

Stakeholder communications

• Communicate various updates to leadership and other teams.

What we expect of you

• Masters degree and 5 to 7 years of Information Systems experience OR

• Bachelors degree and 6 to 8 years of Information Systems experience OR

• Diploma and 10 to 12 years of Information Systems experience

• 5-7 years of experience in a business performance role.

Basic Qualifications:

• Understanding of different KPIs/metrics (operational, projects and financials) and ability to track, monitor and report those.

• Past experiencefinancial analysis creating forecasting models and dashboards to track finances overall of department and of individual projects.

• Excellent excel and presentation skills.

• Good analytical skills.

• Proficiency with data tools (e.g. excel, power bi, Tableau etc)

• Experience in communication and presentation to leadership.

• Excellent stakeholder management skills.

• Excellent communication and social skills, with the ability to work collaboratively with different teams.

Preferred Qualifications:

• Ability to work effectively across matrixed organizations and lead in collaboration.

• Passion for technology and customer success, particularly in driving innovative AI and data solutions.

• Familiarity with biotech/pharma is beneficial.

Soft Skills:

• Excellent analytical and solving skills.

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation.

• Ability to handle multiple priorities successfully.

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills.