Podstawy
sprachversierter Data Analyst
Opublikowano: 18.05.2026
Data zamknięcia: 02.07.2026
Referencje dotyczące stanowiska: bda363442641d860bff164a7fbdc71e9
Informacje o stanowisku
Lokalizacja
Binningen, Basel-Country, Switzerland
Firma
TN Switzerland
Klient / Pracodawca
PKS Personal AG
Referencje dotyczące stanowiska
bda363442641d860bff164a7fbdc71e9
Typ wpisu
Podstawy
Wymagane pozwolenie na pracę UE
Nie
Opublikowano
18.05.2026
Data zamknięcia
02.07.2026
Opis stanowiska
In Kürze sprachversierter Data Anaylst Kompetenzen - ETH Zürich - Physikdoktorat - Langjährige Berufserfahrung als Data- und Businessanalyst, Softwarentwickler und Consultant - Branchenerfahrung: Banken, Versicherung, Zahlungsanbieter, Automobilhersteller - sprachlich äusserst versiert (5-sprachig fliessend) - offene, umgängliche und teamiorientierte Persönlichkeit IT-Kenntnisse: - Programming: Javascript, Java (JEE, REST and SOAP), Python, Perl and golang - MDA: TIBCO EBX™, Powercenter, DSM (Allianz) - BA-Tools: Enterprise Architect (Sparx), Erwin Data Modeler, Sybase PowerDesigner - Data Analytics: QlikView, Tableau, R, D3.js, Chart.js - DWH and DB: Oracle SQL-PL/SQL, MongoDB, DB2 SQL, Teradata, etc. - Office: MS-Excel, MS-Access, Word and Powerpoint - Unix & Scripting: Solaris, Linux, Shell scripting, awk and sed - Methods: Conceptual Design (UML), Entity Relationship Modeling - Project Lifecycle: Agile development with Jira - Testing: Automated Web Testing with Selenium Sprachen - Deutsch (Verhandlungssicher in Wort und Schrift) - Englisch (Verhandlungssicher in Wort und Schrift) - Italienisch (Muttersprache) - Französisch (Verhandlungssicher in Wort und Schrift) - Spanisch (Fliessend)
Umiejętności
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