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dataroles

Portfolio, Data & Analytics Specialist

Nasdaq Open
Stockholm Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Nasdaq. Stockholm · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SeniorityMid-level
LocationStockholm
EmploymentFull-time
PostedOct 9, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build the portfolio dataset, taxonomy, and data model so investments can be compared and used in decisions
  • Run business-case approvals with Finance, connecting intake, sign-offs, reviews, and forecasts
  • Assess investment, capacity, time-horizon mix, and value realization against business priorities, then recommend portfolio trade-offs
  • Maintain the operational and transformation KPI dashboard alongside Finance, and help develop business cases
  • Prepare portfolio analysis and recommendations for planning cycles and senior management discussions

What you bring

  • A bachelor’s degree in a relevant field or equivalent practical experience
  • Experience combining analytical work with strategic decisions, such as in corporate finance, FP&A, consulting, or a comparable role
  • Strong financial analysis skills, including business-case development and turning findings into recommendations
  • Excel modeling and BI or visualization capability, including Power BI, plus experience structuring data and automating reports
  • Working familiarity with AI applications, or a genuine interest in applying them to analysis and business processes

Who this fits

This mid-level role suits someone who can connect financial models and portfolio data to business recommendations for senior audiences. You’ll work across global teams and time zones, with English communication required. The position is based in Stockholm and requires at least three in-office days each week in a hybrid arrangement.

From the employer

The Role

As a Product Portfolio, Data & Analytics Specialist reporting to the Sr Director, Product Portfolio Operations & Transformation, you will operate at the intersection of strategy, business, technology, and analytics. You will build and run the engine behind the Financial Technology division’s capital allocation process and decisions, translating complex portfolio and financial data into strategic insights and clear business recommendations. You will own the data workflows and analytics that turn our investment portfolio into a comparable and decision-ready view, partnering closely with Finance, Product Strategy, and Product Engineering to support well-informed and structured capital allocation decisions.

You will thrive in this position if you are equally comfortable working with financial models, data and analytics, and strategic business questions. This is not a purely technical role: you will be expected to connect analysis with business context, identify strategic implications, and communicate actionable recommendations to senior stakeholders. You care about accuracy and traceability, enjoy building processes and dashboards that leaders use to make decisions, and bring either practical experience with AI or a strong and genuine interest in applying it to portfolio analysis and decision-making.


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.
  • Develop strategic portfolio views by analyzing capital allocation against key business priorities, including investment, capacity, horizon mix, and value realization; translate findings into recommendations that support 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, strategic insights, and recommendations for quarterly and annual planning cycles 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 strategy, management consulting, corporate finance, FP&A, business analytics, investment analysis, or a comparable role combining analytical work with strategic business decision-making.
  • Strong strategic and financial acumen, with experience in areas such as strategy development and evaluation, business case construction, investment assessment, and translating analysis into business recommendations.
  • Strong data and analytics capability, including Excel modelling and BI or visualization tools such as Power BI, with the ability to structure datasets and automate reporting. Working knowledge of AI tools and applications, or a genuine interest in developing this capability and applying AI to analysis, reporting, and business processes, is essential.
  • 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.
  • Ability to work across global teams and time zones.
  • 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).


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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.