Executive - Analytics L1 1

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Job Duties and Responsibilities

• Assist with tasks and operations following defined procedures and guidelines.
• Perform tasks given with clear instructions ensuring accuracy
• Support the team by preparing documentation, reports, or presentations, ensuring they meet quality standards.
• Share weekly updates & publish reports as required by the team
• Resolve issues within own area of work or escalate to their manager
• Collaborate with team members to ensure tasks are completed on time.
• Participate in training opportunities to build understanding of processes, tools, and methodologies used by the team.
• Utilize basic technical or professional skills to perform team projects or tasks.

Job Description – Support Analyst (Business Analytics & Cloud Operations)

Key Responsibilities

• Provide Level 1 support for business analytics, and data platforms.
• Monitor support queues, investigate incidents, and resolve routine issues within agreed SLAs.
• Perform basic data validation and analysis to identify and troubleshoot data discrepancies.
• Support report and dashboard availability and assist users with Power BI and Qlik-related issues.
• Monitor scheduled ETL/data pipeline jobs and escalate failures to L2/L3 teams when required.
• Maintain basic operational reports and dashboards using Power BI and Qlik to support business and operational monitoring.
• Perform day-to-day operations activities across analytics and cloud platforms, including monitoring cloud resources, reviewing alerts, validating scheduled jobs, and coordinating the resolution of operational issues.
• Maintain incident records, knowledge articles, and operational documentation while ensuring timely updates and adherence to support processes.
• Collaborate with application, infrastructure, and data engineering teams to resolve incidents, support service continuity, and ensure platform stability.

Required Skills

• 2–3 years of experience in Analytics, BI Support, Application Support, or Data Operations.
• Good understanding of SQL and relational databases.
• Hands-on exposure to Microsoft Fabric and/or analytics platforms.
• Experience with visualization and reporting tools such as Power BI and Qlik.
• Basic understanding of ETL/data integration concepts.
• Basic exposure to cloud platforms (Microsoft Azure and AWS) with an understanding of cloud monitoring and operational support.
• Familiarity with ticketing tools such as ServiceNow and/or Jira.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good communication skills with the ability to interact effectively with business and technical teams.

Preferred Skills

• Exposure to cloud-native data platforms such as Snowflake, Azure Data Factory, or AWS data services.
• Understanding of data warehousing and modern analytics ecosystems.
• Knowledge of ITIL processes and incident management.
• Willingness to work in a support environment, including rotational shifts if required.
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