5-7 years of analytics experience, ideally in enterprise IT, infrastructure, or product lifecycle domains
Strong SQL skills and dashboarding proficiency in tools like Power BI (Mandatory) or Tableau (Preferred)
Demonstrated ability to work independently, manage multiple priorities, and operate effectively in a cross-functional setup
Experience with IT Infrastructure, CMDB, configuration relationships, and data quality management
Familiarity with product lifecycle governance, metadata models, and platform health indicators
Excellent communication skills with the ability to simplify complex issues for varied audiences
Awareness of AI use cases in analytics, lifecycle optimization, or automation
Preferred:
Experience working with ServiceNow CMDB, product registration systems, or service catalogue data
Understanding of technology journey mapping, persona-based reporting, or digital experience measurement
Basic scripting or notebook-level comfort with Python or R for ad hoc analysis
Awareness of data governance, metadata standards, and enterprise architecture alignment
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full time