Freelance klantspecifiek EQUALMINDS

Our client is committed to an ambitious plan to transform and modernize its

technological data ecosystem. Our innovative data organization is a key pillar of this

strategy, focused on unlocking value from data and leveraging analytics capabilities to

optimize business operations and drive new growth opportunities.

To support this ambition, the Data Insight Team is seeking a Senior Business & Data Analyst

with deep core expertise in SAP BW. Acting as an essential strategic bridge between business

stakeholders and the Data Engineering team, you will drive the alignment of data solutions

with business requirements.

Your main focus will be leading and maintaining existing enterprise reporting solutions on our

legacy SAP BW architecture, while designing and building modern data solutions on our

Google Cloud Platform (GCP) BigQuery data stack.

You will deliver clear requirements analysis, solution designs, and functional specifications for

data-driven business use cases, with a strong emphasis on leveraging, integrating, and

migrating SAP BW data pipelines and reporting solutions. You will ensure end-to-end

functional integrity and execute rigorous testing across all data assets—from legacy SAP BW

reports to complex GCP advanced analytics—in full alignment with our overarching data

Strategy.

Your key responsibilities will include:

Data Solution Design:

• Requirements Elicitation: Translate business needs into detailed data requirements,

  including data mapping, transformation logic, and KPI and dashboard definitions.

• Data Modeling: Collaborate with data engineers to design and document

  conceptual and logical data models that support business scalability.

•  SQL Analysis: Use SQL to profile source data, validate business rules, and perform data

  quality assessments during the analysis phase.

• Develop Business Requirement Documents (BRDs) and Functional Specifications that

  explicitly outline data flows, extractors, data lineage, and integration with the

• BigQuery enterprise data warehouse.

• Design and execute test scenarios to validate developments and ensure no

  regressions are introduced.

• Perform impact and exploratory data analysis and deliver curated data/insights to

  the business in the most suitable format for their usage (dashboards, self-service BI,

  datasets, etc.).

• Lead change management efforts with business teams to ensure delivered solutions

  are correctly understood and adopted.

• Liaise with relevant IT teams (DWH Developers, Data Engineers), DataViz experts, and

• Data Science teams to ensure end-to-end solution delivery (data ingestion,

  advanced DataViz, EDW extensions, data models, etc.).

• Maintain effective governance over reporting assets, Key Performance Indicators

  (KPIs), and the business glossary by collaborating closely with the Data Governance

  Team.

Support & Maintenance:

• Incident & Problem Management: Lead root cause analysis for data discrepancies or

  pipeline failures to maintain high-quality data outputs.

• SAP BW Maintenance & Support: Provide expert support and ongoing maintenance

  on existing reporting solutions within our legacy SAP BW application, while ensuring

• smooth migration paths to modern cloud architectures.

Skill Requirements:

• Extensive hands-on expertise with SAP BW core architectures (BW 7.5 on HANA)),

  including Datasource, Advanced DataStore Objects (ADSOs), CompositeProviders,

• InfoObjects, process chains, OpenHub extraction, and BEx Queries.

• Strong business acumen and curiosity backed by technical data skills, enabling you

  to deliver clear and actionable insights to business stakeholders.

• Excellent understanding of data warehouse solution delivery principles (dimensional

  modeling, ETL, Enterprise Data Model, etc.).

• SQL: High proficiency, including complex joins.

• Strong analytical skills with attention to detail and accuracy.

• Ability to communicate effectively with both technical and business audiences.

• Proven expertise in data manipulation and data modeling languages.

• Proven expertise in the development or use of BI solution packages (MicroStrategy,

  Looker, Tableau, etc.).

• Proven understanding of data visualization best practices and concepts.

• Understanding of big data stack technologies (GCP, Azure, etc.).

• Understanding of machine learning fundamentals and core modeling algorithms is a

  plus (ability to engage in technical discussions with data scientists).

• Strong leadership skills with a collaborative, team-oriented mindset.

• Excellent verbal and written communication skills (French or Dutch, and English).

• Previous experience in the retail industry is preferred.

• Prior experience with SAP retail MM and SD modules is a strong plus

• Uitgebreide praktijkervaring met SAP BW 7.5 on HANA, inclusief:

  • Datasources

  • Advanced DataStore Objects (ADSO's)

  • CompositeProviders

  • InfoObjects

  • Process Chains

  • OpenHub-extracties

  • BEx Queries

• Sterk businessinzicht gecombineerd met technische data-expertise, waardoor je heldere en bruikbare inzichten kunt leveren aan stakeholders.

• Grondige kennis van datawarehouse-principes zoals:

  • Dimensionele modellering

  • ETL-processen

  • Enterprise Data Models

• Zeer goede kennis van SQL, inclusief complexe joins.

• Sterke analytische vaardigheden met oog voor detail en nauwkeurigheid.

• Vermogen om effectief te communiceren met zowel technische als niet-technische stakeholders.

• Aantoonbare ervaring met datamanipulatie en datamodellering.

• Ervaring met BI-platformen zoals:

  • MicroStrategy

  • Looker

  • Tableau

  • of vergelijkbare tools

• Goede kennis van data-visualisatieprincipes en best practices.

• Kennis van big data-platformen zoals Google Cloud Platform (GCP) of Microsoft Azure.

• Basiskennis van machine learning en modelleringstechnieken is een pluspunt, zodat je vlot kunt samenwerken met data scientists.

• Sterke leiderschapsvaardigheden met een collaboratieve en teamgerichte instelling.

• Uitstekende mondelinge en schriftelijke communicatievaardigheden in Nederlands of Frans, aangevuld met Engels.

• Ervaring binnen de retailsector is een pluspunt.

• Kennis van SAP Retail MM en SAP Retail SD wordt sterk gewaardeerd.