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Tier-1 brand plus metro locations increase applicant density, but specialized BI-ServiceNow skills moderate competition.
Role requires specific BI tooling and ServiceNow experience, reducing cross-industry transferability.
Multiple mandatory requirements (6+ years, QuickSight, ServiceNow, SQL, Python) indicate strict filtering.
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Build and maintain dashboards and reports using Amazon QuickSight, integrating data from multiple sources and ensuring SLA adherence for data refreshes.
Develop and manage analytics data pipelines and tooling to support BI delivery including data ingestion, validation, troubleshooting, and automation for reliability and performance improvements.
Collaborate with product owners, engineering teams, and business stakeholders to gather requirements, define KPIs, enforce governance standards, and support self-service reporting in an Agile environment.
6+ years of experience in analytics/BI delivery including dashboarding and hands-on Amazon QuickSight usage or similar BI tools.
Strong SQL skills with experience in analytics query engines such as Athena or Redshift.
Experience integrating data via REST APIs including handling authentication, pagination, and rate limits; scripting skills in Python for data ingestion and validation.
Bachelor's degree in a technical field (BE/B.Tech/MCA/MSc Computer Science or equivalent).
Experienced in translating complex business questions into multi-dimensional analysis and actionable dashboards with strong data storytelling and UX skills.
Comfortable working in Agile teams collaborating across product, engineering, and business stakeholders to iteratively improve analytics solutions.
Familiar with dimensional modeling, KPI governance, Row-Level Security patterns, and basic cloud concepts relevant to BI delivery such as S3, IAM, and AWS analytics services.