기본
Senior IT Data Analyst
게시됨: 18.05.2026
마감일: 02.07.2026
직무 추천서: b2c3e885bcc1c5122b071b635f8a9081
직무 정보
위치
Switzerland
회사
TN Switzerland
클라이언트 / 고용주
Tecan
직무 추천서
b2c3e885bcc1c5122b071b635f8a9081
목록 유형
기본
EU 취업 허가 필요
아니
게시됨
18.05.2026
마감일
02.07.2026
직무 설명
Ever wondered how your skills and unique background could impact the world of tomorrow?Join our Finance and Controlling team and bring your passion and talent to work. Senior IT Data Analyst (100%) Männedorf, Zürich Your contribution Analyze and visualize business data to support decision-making Develop, optimize, and maintain SAP HANA models and reporting solutions Integrate data from ERP, CRM, finance, and other systems Create dashboards and KPIs in SAP Analytics Cloud; explore new BI tools. Lead or support BI and digital transformation projects Ensure data quality, governance, and compliance (e.g., GDPR) Provide 2nd/3rd level support and training to business users Document data flows, models, and methodologies Your background We’re not just looking for hard skills: We’re looking for people who bring their passion and talent to work. Extensive experience as a data analyst/BI specialist in SAP HANA Strong knowledge of SAP Datasphere, SAP ERP (S/4), SAP Analytics Cloud, and ETL tools Experience in data modeling, SQLScript, and performance optimization Understanding of SAP S4 data structures (FI/CO, MM, SD, PP) Excellent analytical, communication, and project management skills Hands on experience in Project Management Fluent in English; German is a plus. Team player with a structured, independent work style. Degree in business IT, data science, or similar is a nice to have Experience with OneStream, Salesforce TableauNext, PowerBI would be a plus Join Tecan, a great place to work! Read about our recent certification from . We’re looking forward to receiving your application online. Please submit your CV or resume (w/o picture and w/o cover letter, reference letters and diplomas are optional).
기술
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