BI Support Analyst

Key Responsibilities:

• Maintain reliability for data pipelines and report refreshes, ensuring high uptime and data quality.
• Deliver validated ad-hoc data extracts and automated reports, ensuring accuracy and clarity.
• Manage and resolve operational tickets via ServiceNow and Azure DevOps within SLA timelines.
• Communicate proactively with stakeholders through timely updates, incident summaries, and reports.
• Enforce least-privilege access to data assets, maintaining audit trails and supporting access reviews.
• Conduct root cause analysis (RCA) for recurring issues and document solutions in the Known Error Database.
• Safeguard production changes by performing checks, smoke tests, and rollback planning.
• Participate in agile ceremonies, planning, documentation, and efficient delivery of BI projects.
• Maintain SOPs for monitoring, incident handling, and access workflows, and keep knowledge bases updated.

Requirements:

• Bachelors degree in Computer Science, Business Analytics, Information Systems, or related field.
• 2-5 years experience in BI support or analytics engineering support in SLA-driven environments.
• Strong expertise in Power BI (report building, data modeling, DAX, RLS, gateways, usage/capacity monitoring).
• Proficiency in SQL (diagnostics, tuning, complex queries, large datasets).
• Hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and ServiceNow.
• Knowledge of Python is an advantage.
• Cloud certifications or Power BI/SQL/Databricks/Azure certifications preferred.
• Strong communication skills in English with cultural awareness for stakeholder engagement.
• High attention to detail, adaptability, and problem-solving mindset.

Competencies:

• Accountability and ownership of deliverables.
• Strong time management and ability to prioritize tasks.
• Clear communication and stakeholder alignment.
• Critical thinking and adaptability in high-pressure situations.
• Attention to detail and accuracy in reporting.
• Achievement orientation with enthusiasm for continuous improvement.
• Work Environment:
• High-pressure, multitasking environment with occasional after-hours support for critical incidents.
• Tools: Office 365, Power BI, Databricks, Azure Data Factory, SQL, ServiceNow.