Data Business Analyst F/H
Framatome · Lyon, Auvergne-Rhône-Alpes, France
- On site
- Full-time
- €65,000 / year
- Lyon, Auvergne-Rhône-Alpes, France
Job highlights
- Analyze business needs for data solutions.
- Manage and prepare data from various sources.
- Analyze and interpret data for insights.
- Communicate data findings to stakeholders.
- Collaborate with development and engineering teams.
About the role
Data Business Analyst - Framatome DSI
Framatome's IT and Digital Solutions department is responsible for defining and deploying the group's IT and Digital solutions. It includes the Data Competency Center, which is in charge of implementing and operating the Data platform (Azure/Fabric and DataBricks) and supporting business units in implementing their use cases.
This Data Competency Center wishes to strengthen its team by recruiting its future Business Analyst, a key role at the interface between business units, data, and the platform. The main challenge of the mission is to be the link between business needs and the Data platform's solutions, leveraging analytical, technical, and relational skills. A knowledge of the SAP environment and data model (FICO/Manufacturing) will be a plus.
Your Missions:
Collection and Understanding of Business Needs:
- Gather and analyze stakeholder needs (quality, plants, finance, operations, etc.).
- Describe data and data flow processes (UML).
- Ensure data quality, consistency, and reliability.
- Anticipate and contribute to the implementation of new data sources and interfaces.
Data Extraction, Preparation, and Management:
- Identify data sources with business units and application competency centers (ERP SAP, MES Apriso, CRM, databases, etc.).
- Define data cleaning, transformation, and structuring rules to make them usable.
- Ensure data quality, consistency, and reliability.
- Follow data governance processes and rules.
Data Analysis and Interpretation:
- Perform descriptive, exploratory, and sometimes predictive analyses.
- Identify trends, correlations, and optimization levers.
Visualization and Reporting of Results:
- Describe and specify business use cases: source data, consistency checks, transformation, formatting, etc., for development teams.
- Describe data models and the final Data Product.
- Present results in a pedagogical manner adapted to the audience (Management, operational staff, etc.).
- Tell a “data story” to facilitate decision-making.
- Formulate operational recommendations based on analyses.
Team Support:
- Share specifications and ensure their proper understanding by development and Data Engineer teams.
- Contribute to the writing of test plans and preparation of tests.
- Contribute to the scoping of business requests.
Continuous Improvement and Performance:
- Propose areas for improvement in business and DSI processes.
Technical Environments:
- Applications: ERP SAP S4H, MES Apriso, PLM 3DX, Documentum, Semarchy.
- Cloud: Azure, Fabric.
- Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog).
- Languages: Python, SQL, Scala (optional).
- Big Data: Apache Spark.
Profile:
With a Master's degree (BAC+5) in Information Systems Engineering or equivalent, you have at least 5 years of experience in this role. Beyond your technical skills, you are able to Cooperate, Listen, Analyze, Create, Organize, Achieve, and Manage.
Key skills/competency:
- Data Analysis
- Business Requirements Gathering
- Data Modeling
- SQL
- Python
- Azure
- Databricks
- SAP
- Data Governance
- Data Storytelling
Skills & topics
- Data Business Analyst
- Data Analysis
- Business Intelligence
- SQL
- Python
- Azure
- Databricks
- SAP
- Data Governance
- Requirements Gathering
- Data Modeling
- Data Visualization
- Information Systems
- Big Data
- Cloud Computing
How to get hired
- Tailor your resume: Highlight your 5+ years of experience as a Data Business Analyst, emphasizing skills in data analysis, SAP, Azure, and Databricks.
- Showcase technical skills: Detail your proficiency in SQL, Python, data modeling, and data governance, referencing specific projects.
- Demonstrate business acumen: Provide examples of how you've translated business needs into data solutions and communicated findings effectively.
- Prepare for interviews: Be ready to discuss your experience with data platforms like Azure Fabric and Databricks, and how you've collaborated with technical teams.
- Understand Framatome's context: Research Framatome's industry and the role of data within their operations to align your answers.
Technical preparation
Master SQL for complex data queries.,Practice Python for data manipulation.,Understand Azure Fabric and Databricks.,Review SAP FICO/Manufacturing data models.
Behavioral questions
Describe a complex business problem you solved.,How do you ensure data quality and consistency?,How do you communicate technical data insights?,How do you collaborate with development teams?
Frequently asked questions
- What specific experience is required for the Data Business Analyst role at Framatome?
- The Data Business Analyst role at Framatome requires a minimum of 5 years of experience in a similar function, with a BAC+5 (Master's degree) in Information Systems Engineering or equivalent. Experience with data platforms like Azure/Fabric and Databricks, along with SAP (FICO/Manufacturing) knowledge, is highly valued.
- What technical skills are essential for this Data Business Analyst position at Framatome?
- Essential technical skills for the Data Business Analyst at Framatome include proficiency in SQL and Python, experience with data modeling and data governance, and familiarity with cloud environments like Azure and platforms like Databricks. Knowledge of ERP SAP S4H is also beneficial.
- How does the Data Business Analyst role at Framatome bridge the gap between business and data?
- The Data Business Analyst acts as a key liaison, collecting and analyzing business needs, defining data requirements, ensuring data quality and governance, and translating these into technical specifications for development teams. They also present data insights and recommendations to business stakeholders.
- What kind of business units will a Data Business Analyst at Framatome typically interact with?
- A Data Business Analyst at Framatome will typically interact with various business units, including Quality, Manufacturing Plants, Finance, and Operations. They will also collaborate with application competency centers for systems like ERP SAP, MES Apriso, and CRM.
- Is knowledge of SAP systems important for the Data Business Analyst role at Framatome?
- Yes, knowledge of the SAP environment and data model, particularly FICO/Manufacturing, is considered a significant advantage for the Data Business Analyst role at Framatome. It helps in understanding business processes and data structures within the organization.
- What are the primary responsibilities of a Data Business Analyst at Framatome regarding data quality?
- The Data Business Analyst at Framatome is responsible for ensuring data quality, consistency, and reliability throughout the data lifecycle. This includes defining cleaning and transformation rules, monitoring data, and adhering to data governance processes.
- What data visualization and storytelling skills are expected from a Data Business Analyst at Framatome?