data analyst (w/m) in Luxembourg Centre Gare

posted
contact
Fabien DAGNELLO, Randstad Luxembourg, Randstad Luxembourg
temp to perm
apply now

job details

posted
location
luxembourg centre gare
sector
IT
job type
temp to perm
reference number
20042
contact
Fabien DAGNELLO, Randstad Luxembourg, Randstad Luxembourg
phone
+352 40 32 04 255
apply now

job description

We are currently looking, for one of our clients of the Broadcasting Industry, for a :

 

Data Analyst (W/M)

1-year contract to begin with

 

As Data Analyst you will be responsible for providing data support to the operations and metadata production. This includes proactively developing optimal reporting practices, tool usage and navigation, self-service, object categorization, and improving the overall reporting and end user experience.

 

Your mission :

·        Develop, generate and manage various report types for reference and functional area use to report and monitor the data.

·        Directly manage ongoing project queue.

·        Collaborate with internal partners and stakeholders to derive maximum business value from reporting.

·        Establish and define practical reporting schedules and processes.

·        Timely, consistent and accurate reporting of all data.

·        Perform data manipulation/transformation for reports.

·        Generate routine and ad hoc reports. 

·        Support operational and client reporting needs.

 

Your profile :

·        Master’s degree in data sciences. 

·        Fluent in English, other languages are a plus but not necessary.

·        Experience with SQL, particularly Microsoft SQL (relational databases): querying and data warehousing.

·        Experience with tools related to Microsoft SQL Server Reporting Services, Report Builder in particular.

·        Experience with VBA.

·        Experience with Power BI, including Mash-up Query language and DAX for tabular models R or Python not necessarily required, but considered a plus.

·        Expertise in both quantitative and qualitative data collection and analysis techniques that include analyzing trends, benchmarking, and performance monitoring.

·        Good written and verbal communication skills.

·        Strong organizational skills.

·        Ability to work with complex datasets in terms of relations and quantity of data.

·        Keen analytical ability and strong knowledge of statistical analysis and modeling.

·        Ability to work with various business units to understand and fulfill their reporting and analysis needs.

 

Interested ? Do not hesitate to apply ?