data analyst in budapest

posted
contact
randstad sourceright
job type
permanent
apply now

job details

posted
location
budapest
job category
Other
job type
permanent
reference number
698
contact
randstad sourceright
apply now

job description

Job title: Senior Data Analyst


Accountable to: Head of Technology
Accountable for: Delivering data work streams for new account implementations, report building as well
as test staging and co-ordination. TDX programme management.

Main purpose of role
Working directly with Randstad Sourceright Technology Project Managers across the various
Technology Enterprise Tribes, the Data Analyst will be responsible for the data work stream in new
and existing client implementation and integration projects ensuring data integrity for optimal system
configuration and programme management. The Data Analyst will be responsible to staging data for
and co-ordaining User Acceptance / Solution Validation Testing. The Data Analyst will work with the
Application Support Leads across all Tribes to support the effect build for client and account team
reporting requirements.

Key responsibilities
• Deliver the data work stream for system implementation and integrations
• Amend test scripts to client specification
• Quality Assurance Testing
• Solution Validation and User Acceptance testing co-ordination
• Develop and support reporting processes
• Develop records management processes
• Liaise with internal and external clients to fully understand data content
• Manipulate, analyse and interpret complex data sets
• Mine and analyse large datasets, draw valid inferences
• Monitor and audit data quality
• Set up and maintain automated data processes
• Support data validation and cleansing
• Data upload for VMS, ATS and CRM Systems including SAP Fieldglass, Beeline, IQN, Netive
and Coupa CCW
• Report build and validation
Skills required for the role
• Show advanced skills in Excel
• An aptitude to pick up new systems quickly
• Logical processing and problem-solving skills
• Finance aptitude
• Visual Basic experience desirable
• Excellent numerical and analytical skills
• Knowledge of data modelling, data cleansing, and data enrichment techniques
• The capacity to develop and document procedures and workflows
• The ability to carry out data quality control, validation and linkage
• An understanding of data protection issues