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功能建模数据分析师(可选自由职业)

雇主

EngiFlex

地点

远程 · Remote · 比利时

待遇

面议

工作模式

远程

截止日期

1月6日

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岗位摘要

📋 Tasks and responsibilitiesYou will join a multidisciplinary agile data team made up of data engineers, reporting specialists, data functional analysts, project managers, data architects, data quality experts and AI specialists.

岗位职责

📋 Tasks and responsibilities
You will join a multidisciplinary agile data team made up of data engineers, reporting specialists, data functional analysts, project managers, data architects, data quality experts and AI specialists.
Facilitate discussions with business subject matter experts to capture data-related needs.
Map, analyse and understand business processes and operational and analytical data flows, both incoming and outgoing.
Convert business requirements into functional data requirements and technical specifications.
Design and validate conceptual and logical data models together with data architects.
Prepare the functional design of data developments in close collaboration with data governance, BI technical leads and ICT teams.
Work with the Data Protection Officer to ensure GDPR and security compliance.
Support and coordinate testing of delivered data products.
Inform and guide business users, and help drive adoption of the delivered solutions.
📝 Your profile
Master's degree in Computer Science, or equivalent experience.
At least 5 years of professional experience in data functional analysis.
Hands-on experience with data warehouse modelling, including the Kimball approach.
Proven experience in data modelling and in analysing and designing data flows.
At least 3 years of practical experience with the Microsoft on-premise stack: SQL Server, SSIS, SSAS and Power BI.
Solid SQL skills.
Previous experience as a data engineer is an asset.
Experience with Azure Databricks is a plus.
Excellent communication skills, both written and spoken.
Professional command of both national languages, French and Dutch, at minimum B2+ level.
Strong presentation skills.
Strong conceptual thinking and business understanding.
High level of data literacy.
Able to translate business needs into technical solutions.
Autonomous way of working, with ownership and delivery focus.
Pragmatic problem-solving skills.
Collaborative mindset, perseverance and flexibility.
Eager to learn and open-minded.
In this role, you are responsible for gathering business needs, translating them into functional and technical specifications, and defining the conceptual and logical data model.
💼 Offer
You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
(Freelance is also possible)
Originally posted on Himalayas

申请条件

Master's degree in Computer Science or equivalent experience
At least 5 years of professional experience in data functional analysis
Hands-on experience with data warehouse modelling, including the Kimball approach
Proven experience in data modelling and in analysing and designing data flows
At least 3 years of practical experience with the Microsoft on-premise stack: SQL Server, SSIS, SSAS and Power BI
Solid SQL skills
Previous experience as a data engineer is an asset
Experience with Azure Databricks is a plus
Excellent communication skills, both written and spoken
Professional command of both French and Dutch at minimum B2+ level
Strong presentation skills
Strong conceptual thinking and business understanding
High level of data literacy
Able to translate business needs into technical solutions
Autonomous way of working, with ownership and delivery focus
Pragmatic problem-solving skills
Collaborative mindset, perseverance and flexibility

雇主简介

EngiFlex is an engineering consultancy specializing in process safety, providing technical calculations, risk assessments, and safety studies for industrial installations.

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数据来源:Himalayas

岗位信息来源于公开渠道,版权归原作者所有