Básico
Customer Data Analyst — ML & Insights
Publicado: 18.05.2026
Data de encerramento: 02.07.2026
Referência de emprego: 59636424f2b3889560707c3daea834cf
Informação do emprego
Localização
varese, lombardia, Italy
Empresa
JR Italy
Cliente / Empregador
PricewaterhouseCoopers International
Referência de emprego
59636424f2b3889560707c3daea834cf
Tipo de listagem
Básico
É necessária autorização de trabalho da UE
Não
Publicado
18.05.2026
Data de encerramento
02.07.2026
Descrição do cargo
Una società di consulenza internazionale cerca un Customer Data Analyst per unirsi al team di Customer Transformation. Il ruolo prevede lo sviluppo di modelli di Machine Learning e l'analisi del comportamento della clientela per fornire soluzioni innovative. È richiesta una laurea magistrale in discipline scientifiche, conoscenze di Python o R, e competenze analitiche. L'azienda valorizza l'innovazione e offre un ambiente di lavoro stimolante con opportunità di crescita.
#J-18808-Ljbffr
Competências
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery