Pagrindinis
HR Data Analyst
Lisboa, Lisbon Metropolitan Area, Portugal
Įmonė:
Jobio
Klientas / Darbdavys:
Stow Group
Paskelbta: 22.05.2026
Galutinė data: 06.07.2026
Darbo nuoroda: dd0826a406643299fd85e4b1c1f3aa76
Informacija apie darbą
Vieta
Lisboa, Lisbon Metropolitan Area, Portugal
Įmonė
Jobio
Klientas / Darbdavys
Stow Group
Darbo nuoroda
dd0826a406643299fd85e4b1c1f3aa76
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
22.05.2026
Galutinė data
06.07.2026
Darbo aprašymas
Company Descriptionstow is one of the leading suppliers of storage solutions. Our core activity is the development, manufacturing and installation of top-quality racking systems for the storage of palletized or small goods and longer items, as well as mezzanine structures.Job DescriptionAs an HR Data Analyst based in Ovar, Portugal, and reporting to the Group’s International HR Director based in Belgium, you will gather data from various HR systems and reports, develop and maintain data models and respective dashboards for HR metrics, as well as provide data-driven insights to support strategic decision-making about HR topics such as salary transparency, gender equality, etc.Main responsibilities: Gather data from various sources, namely several HR systems, platforms and reportsClean, transform, and validate data to ensure accuracy, consistency, and data integrityAnalyse HR data and metrics – such as turnover rates, employee satisfaction, absenteeism, demographics, etc. – generate reports and dashboards for senior leadershipCollaborate with HR and business leaders to identify analytics projectsEvaluate HR systems and reports, and recommend process improvements to enhance efficiencyQualificationsMinimum 3 years’ experience in a similar HR role (HR background)Proficient in data analysis tools, namely MS Excel and Power BIEnglish fluent, both verbal and writtenSolid communication skills, able to collaborate with several stakeholders in a team environmentAnalytical mindset with a proactive attitude, able to act in a fast-moving environmentAvailable for short business trips to Belgium and other stow Group locationsAdditional InformationWork closely together with other rack stars in an open and enthusiastic international environment
Įgūdžiai
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