Job Description:
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
- Visualise, interpret, and report data findings and may create dynamic data reports as well
- Maintain existing BI solutions / ETL pipelines and propose continuous improvements
- Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution
- Ability to design appropriate solution in compliant to CACIB standards
- Develops detailed technical work plans, estimates, improvement plans and status reports
- Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs
- Ensure the respect of CACIB code of conduct and compliance rules within the team
- Contribute to initiatives managed at department level (continuous improvement, innovation…)
Requirements:
- SQL & DW/DM concepts are mandatory.
- Basic knowledge of SSIS & Power BI or Tableau or Qiksense of any other tools.
- This position requires a candidate with at least a bachelor degree in computer studies.
- Minimum 6 years of experience in financing industry, ideally in a banking environment at least 3 years of development experience with using Microsoft Business Intelligence stack covering Tabular Analysis Service, Data warehousing, Performance tuning.
- Data transformations and quality checks
- Power BI dashboarding and reporting
- Good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
- Ability to design and present technical solutions to architects and to team
proactive and problem solving attitude with ability to anticipate risks - Strong communication (written and verbal) and organisational skills
Preferred (additional skills preferred, but not mandatory)
- Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.
- Experience on test driven development
- Experience with Data Visualisation tools
Skills Matrix
- MS BI Technology
- SQL, SSIS, SSRSn SSAS
- Power BI or Tabeau or Qliksense or any other tools
- Basics DW/DM Concepts
- Any Scripting knowledge
- SQL & DW/DM concepts are mandatory, Basic knowledge of SSIS & Power BI or Tableau or Qiksense of any other tools.
