Found 158 jobs on 16 pages

08 May
Data governance officer M/F
Location: Luxembourg City
Salary: N/A

ability to acquire such expertise quickly ; - Previous experience in data mining, data manipulation and analysis, data governance...

08 May
Data governance officer M/F
Location: Luxembourg City
Salary: N/A

such expertise quickly ; - Previous experience in data mining, data manipulation and analysis, data governance, systems development...

08 May
Senior Java (with C++ or Python)
Location: Luxembourg City
Salary: N/A

+ projects, 50+ specialists About the Client As one of the leading and established Process Discovery and Mining Solutions...

05 May

with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in...

05 May
Analyst Programmer (M/F)
Location: Luxembourg City - Belval, Esch-sur-Alzette
Salary: N/A

's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 16 countries. In 2022...

04 May
Senior Financial Analyst, EMEA Real Estate Finance
Location: Luxembourg City
Salary: N/A

-scale data mining tools, such as Power BI, Python, SQL, or Tableau - Relevant experience in financial modelling PREFERRED...

04 May
HR Business Partner EPO
Location: Luxembourg City
Salary: N/A

% About Us: ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in...

04 May
Business Intelligence Engineer II, AMXL Analytics
Location: Luxembourg City
Salary: N/A

with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in...

02 May
Finance Manager
Location: Luxembourg City
Salary: N/A

experience working with Excel, reporting tools and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau...

02 May

forward and avoid being stuck in “analysis paralysis”. Mentor more junior analysts, improving their data mining skills and ultimately... Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets...