Major Responsibilities
· Provide Level 1 and Level 2 support for Enterprise Analytics users, addressing inquiries related to reports, dashboards, and data across global regions.
· Respond to support requests via ticketing systems, email, and virtual collaboration tools in accordance with defined service level agreements (SLAs).
· Clearly explain reports, KPIs, and data concepts to business users with varying levels of technical expertise.
· Troubleshoot reporting and data issues, perform root cause analysis, and coordinate with Data Engineering, Analytics, and IT support teams for resolution.
· Collaborate closely with US- and EMEA-based stakeholders, including regular interaction during overlapping working hours with the US Eastern Time Zone, to gather reporting requirements and clarify business needs.
· Develop, modify, and enhance reports and dashboards using Power BI and other enterprise reporting tools.
· Support user enablement through virtual training sessions, user guides, and knowledge documentation.
· Gain working knowledge of enterprise data architecture, ETL processes, data orchestration, and data models to effectively support analytics solutions.
· Document recurring issues, standard operating procedures, and support processes to enable scalable and consistent global support.
Education and Experience:
· Bachelor’s degree in Engineering, Computer Science, Information Technology, Business Analytics, or a related discipline.
· 2 to 3 years of relevant experience in analytics support, business intelligence, IT support, or a similar role.
· Hands-on experience with Power BI, Power Pivot, Tableau, or similar data visualization tools.
· Exposure to ETL concepts, data modeling, relational databases, and SQL is preferred.
· Experience supporting global stakeholders or working in an offshore delivery environment is highly desirable.
Knowledge and Skills:
· Strong written and verbal communication skills in English.
· Proven ability to work effectively with global stakeholders across multiple time zones.
· Strong analytical and problem-solving skills with attention to detail and data quality.
· Ability to manage multiple priorities in a structured and process-driven environment.
· Customer-focused mindset with a proactive and collaborative approach.
· Ability to work independently with minimal supervision while contributing to team goals.
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