Operations Support Analyst

is mainly responsible for:

1. Data Warehouse & Analytics Operations

Ensure scheduled Extract-Transform-Load jobs, data refreshes, and reporting processes run successfully and on time;

Execute on-demand data extraction and loading jobs, as needed;

Monitor daily operations of the data warehouse, data pipelines, and analytics platforms to ensure data availability and performance;

Track and resolve data load failures, report issues, and system performance anomalies;

Ensure compliance with SLAs for data refresh, reporting, and analytics delivery; and,

Support release coordination and deployment of analytics and data warehouse changes. Also provide post-release monitoring and troubleshooting support.

1. Data Quality & Validation

Perform data quality checks to validate accuracy, completeness, and consistency across data sources;

Investigate data discrepancies and work with data engineering and analytics teams to implement fixes; and,

Document data issues, root cause analysis, and preventive measures.

1. Reporting & Analytics Support

Support BI tools, dashboards, and analytical reports used by business teams;

Assist users with data access, report usage, and issue resolution; and,

Validate analytical outputs to ensure alignment with business definitions and metrics

1. Stakeholder Collaboration

Coordinate with data engineers, analytics teams, IT operations, and business users;

Communicate data issues, operational status, and resolutions in a clear and timely manner;

Support change management activities related to enhancements, releases, and platform upgrades;

Provide application-related support and training to internal and external clients on how to use dashboards and reports;

Coordinate with teams for infra-related support; and

Perform other job-related tasks that may be assigned by his superiors from time to time.

Bachelor’s Degree in Computer Science, Computer Engineering, or any IT related course

No certifications required.

Must have at least 2+ years of related experience in support.

Exposure to ETL/ELT tools (e.g. SSIS, Azure Data Factory, etc.)

Knowledge in BI tools (Power BI, Tableau, Qlik, etc.)

Strong SQL skills and experience with relational databases.

Familiarity with cloud analytics platforms (Azure Synapse, AWS) is a plus (but not required.)

Knowledge of IT service management processes (ITIL, incident/problem management)