FP&A and Data Analyst III

Jobtailor; Deutschland; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks a data/finance oriented FP&A specialist to own profitability planning for B2B, with strong SQL/Python automation and BI dashboard development.

You will partner with Consumer Financial Planning, Credit and Sales Finance, translating complex data into executive visuals to guide strategic decisions.

Qualifikationen

• Bachelor’s degree in a relevant field with strong analytical orientation.
• Hybrid profile with corporate finance or FP&A experience desired.
• Data/tech-focused mindset aiming to move closer to business finance.
• Active curiosity about AI and continuous improvement with new tools.
• SQL data extraction and Python or R automation experience.
• Advanced Excel and BI dashboard development in BI tools.

Aufgaben

• Own profitability book management for the B2B channel.
• Plan short- and mid-term budgets for 2026/2027 horizons and monitor monthly closings.
• Identify bottlenecks and implement daily automation for data extraction/processing.
• Build queries and cross-reference complex datasets to ensure data governance.
• Perform predictive analyses, trend studies and variance diagnostics.
• Partner with FP&A, Credit and Sales Finance teams for alignment.
• Translate metrics into executive visuals for leadership presentations.

Kenntnisse

SQL

Python/R

Excel

Looker Studio

Apps Script

Ausbildung

Bachelor's degree in Engineering

Bachelor's degree in Data Science

Bachelor's degree in Economics

Bachelor's degree in Business Administration

Bachelor's degree in Accounting

Tools

Looker Studio

Google Sheets

Apps Script

Jobbeschreibung

Responsibilities

• Profitability Book Management: Take ownership and daily management of the B2B channel profitability book — a central tool for all tactical decision-making by the executive team.
• Short- and Medium‑Term Planning: Work with a focus on the 2026 and 2027 horizons, performing budget simulations, trend analysis and closely monitoring the monthly closings of the B2B FP&A vertical.
• Automation and Operational Efficiency: Identify operational bottlenecks and implement daily automated routines for data extraction and processing using programming, maintaining the team’s automations to enable focus on strategic analysis.
• Data Handling and Governance: Build queries and cross-reference highly complex datasets (financial, sales, market) to refine information and ensure consistency and data governance within the system.
• Financial Analytics: Perform predictive analyses, trend studies and deep diagnostics of budget variances, providing the planning team with intelligent data‑driven inputs.
• Business Partnering: Act as a multifunctional connector, continuously aligning information with Consumer Financial Planning, Credit, and internal FP&A and Sales Finance teams.
• Storytelling and Executive Presentations: Translate complex technical metrics and large volumes of data into simple, visual executive presentations to support leadership decision-making.

Requirements

• Education: Bachelor’s degree in Engineering, Data Science, Economics, Business Administration, Accounting or related fields with a strong analytical orientation.
• Corporate Experience (Hybrid Profile): Extensive prior experience in traditional FP&A or finance is not required.
• Profile Fit: We are looking for a data/technology‑focused professional who wants to migrate to finance and get closer to the business, or a finance professional with a strong technology orientation.
• Innovative Mindset: Active curiosity about Artificial Intelligence (AI) and a drive for continuous improvement with new tools.
• Databases and Automation: Practical experience with SQL for data extraction and processing, and programming logic for automation (Python or R is a plus).
• Business Intelligence and Productivity: Advanced Excel skills, proficiency in the Google ecosystem (Sheets and Slides) and experience developing dashboards/reports in BI tools (such as Looker Studio, Apps Script, among others).
• Soft Skills: Sharp logical reasoning, strong analytical capability, proactivity and autonomy to operate in discovery scenarios.
• Communication: Excellent communication and the ability to synthesize technical concepts into simple explanations.
• Market Differentiator: Prior experience in consumer goods companies or large retail chains working with consumer behavior data.