Reporting & BI Analyst at Qred Bank AB

, , -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Data Modeling, Financial Reporting, Kpis, Data Transformation, Data Reconciliation, Query Optimization, Data Visualization, Financial Analysis, Business Insight, Data Governance

Industry

Banking

Description

At Qred, we’re building the bank for small businesses. Since launching 10 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a Reporting & BI Analyst for the next phase of growth. About the Role This role is for a finance professional with strong SQL skills who wants to own financial data logic end-to-end. You will bridge the gap between raw technical data and strategic business control, managing the entire pipeline from SQL transformations to data modeling. Your mission is to ensure all financial reporting—from daily dashboards to board-level KPIs—is built on robust, traceable datasets to drive Qred’s growth. Key responsibilities Build and maintain core financial datasets and SQL transformations to create structured, scalable models. Ensure alignment between ERP data and operational systems, owning the reconciliation of data warehouse outputs. Define and document financial KPIs across the organization to ensure consistent metric definitions. Write and optimize advanced SQL queries to support FP&A, budgeting, and performance tracking. Translate complex models into management-ready dashboards and automate recurring reporting. Perform deep-dive analyses on portfolio performance to support data-driven business recommendations. What we’re looking for We need a candidate who combines financial fluency with the technical skills to model data at scale. You have a structured mindset and the ability to drive alignment between technical and financial stakeholders. We value professionals who take full ownership and are motivated by building scalable reporting frameworks in a regulated environment. Qualifications A few years of experience in a similar role. Strong SQL skills with experience working directly with large, raw datasets. Proven track record of building financial models and a deep understanding of financial statements. Structured approach to problem-solving and the ability to translate data into business insights. Comfort using BI tools and experience with visualization platforms like AWS QuickSight. Previous experience from fintech, banking, or regulated financial services is a strong advantage. Why Qred? This is the place to be if you’re looking for a place to grow. Qred is growing fast, and our Qredsters along with it. With a non-bureaucratic organization and delegated responsibilities, we make sure there’s a short path from idea to action. In addition to our great culture, you get to work with the latest cutting-edge techniques, full ownership, and last but not least a bunch of great competent colleagues to learn from! One Last Thing This is a full-time, permanent position based in our headquarters in Stockholm. While we encourage a hybrid setup, we do expect you to be at least three days per week at the office. We review applications on a rolling basis and while the start date is flexible, the right candidate can join us immediately. Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law. #LI-Hybrid #LI-Remote #LI-Onsite

Responsibilities

The analyst will be responsible for building and maintaining core financial datasets using SQL transformations to create scalable models, ensuring alignment between ERP and operational systems. Key duties include defining financial KPIs, optimizing SQL queries for FP&A, and translating complex models into automated, management-ready dashboards.