How You'll Make Your Mark Your main tasks in this role are:
You’ll own and continuously enhance the
global analytical framework
for store performance, ensuring that
financial and operational
KPIs are defined consistently and remain comparable across countries, store formats and maturity stages.
You will analyse
large store portfolios
to identify patterns, outliers and structural performance gaps, separating controllable operational drivers from market, format, location and maturity effects.
As part of the role, you will assess performance potential at
store, cluster, region and country
level, and prioritise opportunities based on value, feasibility and expected business impact.
You’ll build
clear driver trees and explain variances
across sales, gross profit, labour productivity, operating costs, inventory losses and store contribution.
You are expected to partner with country
Finance and Operations
teams to validate findings, understand local context, and convert analysis into practical improvement hypotheses and measurable follow-up actions.
You will develop
global benchmarks, peer groups and advanced analyses , including store ramp-up curves, portfolio segmentation, trend and cohort analysis, and scenario-based business cases.
You’ll be tasked to design
management-readyperformance narratives
using Power BI, SAP and other relevant data sources, with strong emphasis on data quality, transparent methodology and repeatability.
As part of the role you will provide
concise, fact-based recommendations
to senior stakeholders and contribute to the further development of
global performance
steering standards and reporting solutions.
Your Profile The requirements of the role include:
You possess several years of relevant experience in controlling, FP&A, commercial analytics or performance management, ideally in grocery retail, multi-site retail or another operational network business.
You have completed a university degree in business administration, finance, economics, business analytics, data science or a comparable discipline.
You bring a strong track record of analysing large and heterogeneous datasets, identifying root causes and converting findings into commercially relevant recommendations.
You bring advanced knowledge of Power BI, including data modelling, Power Query and DAX, as well as strong Excel capabilities. Practical experience with SAP, SAP BW and/or S/4HANA is highly valuable.
You have a sound understanding of store economics and key retail drivers such as sales density, gross margin, labour productivity, shrink, occupancy costs, store maturity and contribution profitability.
You can distinguish correlation from causation, challenge data and assumptions constructively, and communicate limitations transparently.
You feel confidence in working with international stakeholders, balancing global comparability with local business realities, and influencing without direct authority.
Excellent English skills. German is an advantage but not essential.
A Career that Benefits You
Flexible working environment (Flexitime, remote work options within Austria and abroad, 6 weeks of annual leave)
Health & wellbeing support (Wellpass membership, mental health support, wellbeing initiatives)
Personal and professional development opportunities
International and collaborative working environment
Modern workplace and mobile devices to support flexible working
Restaurant, free fruit and beverages
Sustainable mobility support (Public transport subsidy and bike leasing)
Employee discounts across shopping, travel, sports and health services
Relocation support
Remuneration Gross annual salary starting from € 107.000*
*willingness to overpay with appropriate qualifications
Place of work Moserstraße 42, 5020 Salzburg
Start of work As soon as possible
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