FP&A Data Analyst: Insights & Automation Lead

at; Amsterdam; Hybrid; EUR 55,000 - 71,000; Full time

Benefits offered by this job

40% product discount

Autonomy in role

Growth opportunities

Job summary

Suitsupply in Amsterdam, North Holland, The Netherlands, is seeking a Finance professional shaping FP&A data and systems. This is not a traditional Controller role; you will focus on data models, automation, and scalable reporting rather than manual Excel processes.

You will develop and enhance FP&A reporting with Looker, Pigment, and related sources, translate business questions into dashboards for retail and logistics teams, and bridge Finance, Data, and Engineering.

Qualifications

• 4–6 years of FP&A, Controlling, or Data Analytics experience.
• Masters in Finance, Economics, and/or STEM is a nice to have.
• Strong interest in data, systems, and process improvement.

Responsibilities

• Develop and enhance FP&A reporting stack with Looker, AI-based apps and data sources.
• Translate business questions into dashboards and self-service analytics for retail and logistics teams.
• Maintain and develop data models and processes in Pigment for planning.
• Bridge data across systems (Dynamics, Pigment, Looker) to harmonize KPI framework.
• Reduce reliance on Excel by building structured reporting layers.
• Act as interface between Finance, Data, and Engineering teams.

Skills

Data analytics

Financial modeling

Data automation

Attention to detail

Education

Masters in Finance or Economics or STEM

Tools

Looker

Pigment

Anaplan

Workday Adaptive Planning

Job description

Suitsupply in Amsterdam, North Holland, The Netherlands, is seeking a Finance professional shaping FP&A data and systems. This is not a traditional Controller role; you will focus on data models, automation, and scalable reporting rather than manual Excel processes.

You will develop and enhance FP&A reporting with Looker, Pigment, and related sources, translate business questions into dashboards for retail and logistics teams, and bridge Finance, Data, and Engineering.