Business intelligence engineer - hybride ref. 005151

09/12/2023 Bayt.com
Description du poste

Key Responsibilities :


  • Supports data domains to design & deliver business insights and visualization solutions to drive business value
  • Maintains dashboards and provides support to users
  • Supports the Data Culture lead in data citizen self-service training

Activities :


1- Delivery :


  • Works with the Data Manager and business stakeholders to frame data need
  • Performs an exploratory analysis to assess data quality & insight potential
  • Performs in-depth data analysis to derive business insights
  • Works with the Data Manager to shape the use-case UX & UI for the users to take best advantage of the data insights
  • Test wireframes with users
  • Extracts data from databases and designs data models to ensure dashboard efficiency and responsiveness
  • Defines data quality controls to ensure insight robustness
  • Develops and pushes dashboards to production 
  • Works closely with data engineers in case of complex data pipelines
  • Possibly works an extra mile and turns prepared data into a data product on the Data Marketplace

2- Run :


  • Monitors, maintains, and continuously improves its dashboards, adopting DevOps best practices, with possible support of IT Operations
  • Continuously improves data quality controls
  • Provides support to users on Data Manager demand
  • Sets up and implements adoption metrics and dashboard success metrics


3- Innovation & BI community :


  • Performs BI development peer reviews in other projects from any Data Domain
  • Conducts experimentation projects with new BI technologies, sets up demonstrators and POV (Proof of Value) with the business teams
  • Improve BI processes and tools, e.g., DevOps, Agility, ...
  • Share project return of experience
  • Train other BI engineers in advanced BI/data technologies
  • Train the data citizen for self-BI (Qlik, PowerBi, etc.)


Qualifications :


  • A degree in Computer Science, Information Technology, Applied Mathematics, or similar is preferred
  • Experience as a BI engineer or analysis role is preferred
  • Proficient knowledge of data visualization technologies such as Qlik, SharePoint, Power BI, Grafana, Excel, SQL…
  • Good knowledge in small- & large-scale database design, maintenance, and querying (SQL & nonSQL, Kafka consumers, ElasticSearch, Cypher...)
  • SQL Server skills including SQL object development, performance tuning, data analysis, and integration
  • Strong SI & reporting skills
  • Knowledge in Python, R, and Spark for data mining and cleansing
  • Knowledge in ETL and data governance technologies, e.g., Talend
  • Excellent interpersonal, communication, listening, and presentation skills
  • The ability to work both as a team and independently
  • Excellent problem-solving and analytical skills
  • Strategic understanding of how Data enables business goals
  • Product Management and Agile Methodologies
  • Understanding of PO's technological environment
  • Interest in data management

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