FP&A Analytics Lead — Scale Revenue & Data Strategy

Qred AB; Stockholms kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Office-first culture

Remote work one day per week

Job summary

Qred AB, based in Stockholm, seeks an FP&A Analytics Lead to own end-to-end data strategy, forecasting models, and team leadership for FP&A. You will translate granular data into scalable lifetime value models and strategic BI for executive decision-making.

You will bridge cloud data architecture with financial strategy, forecasting, and performance metrics, driving alignment across cross-functional teams in a fintech context.

Qualifications

• Several years of progressive experience within data analytics, financial control, or business intelligence, ideally within Fintech or digital banking.
• Demonstrated track record of leading, mentoring, or managing analytics professionals.
• Strong technical capability in SQL, Python, enterprise data warehouses (e.g., Redshift, Snowflake), and modern BI tools.
• Solid grasp of commercial unit economics (CAC, CLV, cohort payback) and core P&L mechanics.
• Degree in a quantitative field such as Engineering, Computer Science, Econometrics, Statistics, or Finance.

Responsibilities

• Lead, mentor, and build a high-performing analytics team and roadmap.
• Architect rolling forecasting engines, vintage performance curves, and driver-based models for Group revenue.
• Write production-grade SQL and Python scripts to model financial and operational data in AWS Redshift.
• Standardize global data definitions and oversee executive BI scorecards in PowerBI or AWS QuickSight.
• Partner with commercial, product, and operations teams to optimize unit economics, acquisition ROI, and cost-to-serve models.

Skills

SQL

Python

Data analytics

Forecasting

Leadership

BI tools

Education

Bachelor's degree in a quantitative field

Tools

Redshift

Snowflake

PowerBI

AWS QuickSight

Job description

Qred AB, based in Stockholm, seeks an FP&A Analytics Lead to own end-to-end data strategy, forecasting models, and team leadership for FP&A. You will translate granular data into scalable lifetime value models and strategic BI for executive decision-making.

You will bridge cloud data architecture with financial strategy, forecasting, and performance metrics, driving alignment across cross-functional teams in a fintech context.