Data & Triage Analyst

Role Name: Data & Triage Analyst

Location: Montreal, QC(Hybrid)

Type: Contract

JOB DESCRIPTION:

POSITION DESCRIPTION EndofLife EOL Certification Data Triage Analyst

ROLE OVERVIEW

The EOL Certification Triage Analyst will support the endtoend Technology EndofLife EOL Certification and Triage process The role combines Python and data automation certification operations ServiceNow EOL knowledge and strong stakeholder engagement

The individual will be responsible for running and enhancing the Pythonbased process used to generate Excel certification templates for asset owners while providing training guidance and ongoing support to asset owners throughout the EOL Certification process

The candidate will be responsible for delivery of

Key Responsibilities Hardware and Software EOL Certification

Support the endtoend execution of Hardware and Software EOL Certification activities

Act as a key point of contact for asset owners providing guidance on certification requirements and the overall EOL process

Develop and deliver training to asset owners and other EOL stakeholders

Respond to questions and troubleshoot issues related to Excel certification templates ServiceNow EOL functionality and EOL processes

Work with relevant teams to investigate and resolve certification and dataquality issues

Maintain technical process and training documentation

Run maintain and enhance Python scripts used to generate Excel templates for EOL Software Certification

Validate certification populations troubleshoot script and data issues and ensure accurate Excel outputs

Analyse and reconcile EOL datasets using Python and Excel

Identify and implement opportunities to use Python automation and AI to improve certification activities data validation and analysis and reduce manual effort

Key Responsibilities Hardware and Software EOL Triage

Identify hardware or software package instances and mapping these against Technology Asset Inventory TAI system ownership or confirmed SubAsset Type categories within our CMDB Service Now

Collaborating with the TAI owners to validate the hardware which the software is installed

Resolve rejections of hardware or software TAI ownership or rejections of EndofLife dates

Resolve 3rd party vendor dates which appear incorrect for mapped hardware or software

Create presentations and reports based on recommendations and findings

Work with executives and other business leaders across all regions to identify opportunities for improvement

Periodic Management Reporting on the progress to key global stakeholders

Education Awareness as needed about hardware or software end of life attributes

Collaborate with team members to collect and analyze data

PREFERRED QUALIFICATIONS EXPERIENCE

Bachelor degree

Level 4

REQUIRED SKILLS

Advanced Excel and dataanalysis skills

Experience working with and reconciling large datasets

Strong communication and stakeholdermanagement skills

Ability to develop and deliver training and explain technical or process requirements clearly

Strong analytical troubleshooting and problemsolving skills

Ability to independently manage recurring operational processes with a high degree of accuracy

PREFERRED SKILLS

Handson Python experience including maintaining and troubleshooting existing scripts

Experience with ServiceNow andor CMDB

IT Asset Management Technology Asset Management or EOLlifecycle management experience

Experience supporting certification attestation risk or governance processes

Power BIreporting experience

Experience applying AI and automation to dataintensive operational processes

CANDIDATE PROFILE

We are looking for a versatile technology and data analyst who can operate across both EOL Certification and Triage The successful candidate should be comfortable analysing complex datasets investigating and resolving EOL issues supporting ServiceNowbased processes and working directly with asset owners to deliver training explain EOL requirements answer questions and resolve issues

The candidate should also bring an automation and continuousimprovement mindset identifying opportunities to simplify manual activities and apply technologies such as Python and AI where appropriate