Portfolio, Data & Analytics Specialist

The Role As a Product Portfolio, Data & Analytics Specialist reporting to the Sr Director, Product Portfolio Operations & Transformation, you will build and run the engine behind the Financial Technology division’s Capital Allocation process and decisions. You will own the data workflows and analytics which turn our investment portfolio into a clear, comparable and decision-ready view, partnering closely with Finance, Product Strategy and Product Engineering to ensure well informed and structured capital allocation decisions. You will thrive in this position if you’re equally comfortable in a financial model, a data pipeline, and strategic decision making. You care about accuracy and traceability, and you enjoy building processes and dashboards that senior leaders actually use to make decisions. Key Responsibilities

• Build and run the portfolio data set-up - the business-case / financial dataset, portfolio taxonomy, and the underlying data model and sources.
• Run the business case approval process end to end, in collaboration with the finance team: intake, sign-off forms, RACI, review cadence, and linkage back to financial forecasting.
• Facilitate portfolio views by analyzing capital allocation towards key strategic priorities, including investment, capacity, horizon mix and value-realization views, supporting portfolio construction and trade-off decisions.
• Implement and maintain the Operational and Transformation KPI dashboard in partnership with Finance.
• Support the development of key business cases as needed, partnering with Finance and Strategy.
• Prepare portfolio materials and analyses for quarterly and annual strategic planning and senior management forums.

Required Qualifications

• Bachelor’s degree in finance, economics, business analytics, engineering or a related field, or equivalent practical experience.
• Proven experience in management consulting, corporate finance, FP&A, business analytics, or investment analysis.
• Strong financial and strategic acumen — business case construction, investment evaluation methodologies and strategy evaluations
• Advanced data and analytics capability, including Excel modelling and BI / visualization tooling (e.g., Power BI); comfortable structuring datasets and automating reporting, leveraging AI.
• Demonstrated experience designing and running recurring business processes with multiple stakeholders and governance layers.
• High attention to detail with a strong bias for accuracy, traceability and auditable calculations.
• Excellent communication skills (English), with the ability to translate data into clear recommendations for senior audiences.

Preferred Qualifications

• Advanced degree (e.g., MBA, MSc in Finance or Analytics) or relevant certification.
• Experience in financial services, fintech or software, and familiarity with product P&L and capital-allocation frameworks.
• Working knowledge of planning or financial systems (e.g., Anaplan) and data tooling (SQL, Python).
• Experience applying AI to automate processes, reporting, and analytics.
• Ability to work across global teams and time zones.

Benefits & Rewards We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable). Actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable. We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. Other benefits are:

• Employee Stock Purchase Plan offering discounted company shares
• Pension plan
• Paid vacation days
• 6 additional days off per year
• Work from (almost) anywhere – up to 20 days/year
• Paid time off to volunteer
• Health insurance
• 24/7 mental health support for you and your family
• Global mentoring program
• Unlimited access to e-learning platforms

For more information, visit Nasdaq Benefits & Rewards Career Page. This position is located in Stockholm, and offers the opportunity for a hybrid work environment at least 3 days a week in-office (subject to change), providing flexibility and accessibility for qualified candidates. Come as You Are Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities. We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.