HR Business Data Analyst H/F/X

Actiris; Brussel Hoofdstad; Hybride; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Toyota Motor Europe, Brussels, is seeking a Data Analytics professional within the People & Innovation division to ensure HR data is accurate, governed, and transformed into trusted analytics and reporting solutions.

You will bridge HR stakeholders, IT data teams and reporting developers, oversee Snowflake operations, manage Power BI portfolio, and champion privacy and security across HR data products.

Qualifications

• Experience with Snowflake, Collibra and Data Product creation.
• Strong ability to simplify complex concepts and present risks.
• Ability to work with HR executives, IT teams, Data engineers, Solution architects, BI developers.
• Fluency in English; other languages a plus.
• Experience facilitating workshops and liaising with multinational teams.

Responsabilités

• Support building foundation and contribute to strong employee experiences.
• HR Data Governance & Data Quality
• Business Analysis within HR Data Domain
• Bridge between HR and IT Data Product Delivery Team
• Overview Snowflake operations (catalogue, ingest, semantic modelling design)
• Managing Power BI Reporting Portfolio (prioritisation and budget control)
• Stakeholder Management (within HR areas and business)
• Monitoring testing and release management
• Ensure compliance, privacy & security rules are followed

Connaissances

Snowflake

Collibra

Power BI

SQL

Data governance

Stakeholder management

Workshop facilitation

Analytics storytelling

Outils

Qlick

Description du poste

Toyota is one of the world's largest automobile manufacturers and a leading global corporation. Founded in 1937. Toyota now sells vehicles in 170 countries and employs over 350.000 people. Based in Brussels, Belgium, and staffed by 2.700 people and more than 60 nationalities, Toyota Motor Europe (TME) handles the wholesale marketing of Toyota and Lexus vehicles, parts & accessories, and manages Toyota's European R&D, manufacturing, and engineering operations.

The company is excited to be transforming into a mobility company focusing on bringing even more happiness to our customers through various mobility solutions.

You will be working for the Human Resources division, called People & Innovation. You will be part of the Data Analytics and HR Solutions team (part of Business Innovation within P&I). Our main purpose is to ensure HR data is accurate, governed, business-relevant, and transformed into trusted analytics and reporting solutions by acting as the primary bridge between HR business stakeholders, IT data teams, and reporting developers.

At P&I we strive to deliver effective solutions towards business leaders and our Pan-E regional HR counterparts. Listening to the customer is essential to developing adequate and efficient solutions.

Your responsibilities

Your role is to support building foundation and contribute to strong employee experiences.

• HR Data Governance & Data Quality
• Business Analysis within HR Data Domain
• Bridge between HR and ITD Data Product Delivery Team
• Overview Snowflake operations (catalogue, ingest, semantic modelling design)
• Managing Power BI Reporting Portfolio (prioritisation and budget control)
• Stakeholder Management (withing HR areas and business)
• Monitoring testing and release management
• Ensure compliance, privacy & security rules are followed

Profil

• English (Professional/Business Fluency), other languages are also an asset.
• Experience with Snowflake, Collibra and Data Product creation is essential for this role
• Knowledge of SQL, Qlick, Power BI is an asset
• Stakeholder Management
• Able to work with HR executives, HR operations teams, Data engineers, Solution architects, BI developers, Vendors
• Strong ability to simplify complex concepts, create executive summaries, present risks and recommendations.
• Our ideal candidate can facilitate workshops, and liaise with multinational teams
• The ideal candidate has a natural interest in the customer voice. They have proven similar past experiences, in the field of data governance, analytics, AI solutions design.
• Must be able to challenge assumptions, connect data across systems, identify root causes, spot inconsistencies.