Analyze large-scale usage datasets using SQL and data science methodologies to identify trends, patterns, and anomalies in product platform activity.
Design, develop, and deploy AI models that automatically dashboard active usage and flag abnormal patterns in real time.
Build and maintain operational alerts, interactive dashboards, and visualization solutions using Databricks, Elastic AI, Kibana, PowerBI, and related tools.
Create data profiles and leverage them to generate timely, actionable analytics that support rapid business decision-making and operational response.
Partner closely with operations teams to establish and refine early-escalation workflows for customers experiencing issues with our product platforms.
Continuously monitor platform health metrics, perform root-cause analysis on usage anomalies, and recommend data-driven improvements to alerting logic and dashboards.
Collaborate with cross-functional stakeholders to translate business requirements into technical analytics solutions that deliver clear operational value.
Document analytics processes, model logic, and dashboard architectures to ensure knowledge sharing and long-term maintainability of the Operational Intelligence platform.
Stay current with emerging tools and best practices in data science, AI-driven monitoring, and business intelligence to drive continuous innovation within the team.

Advanced SQL (required) with hands-on experience querying large-scale, high-velocity datasets
Experience working with distributed data platforms (e.g., Databricks, Spark, or similar)
Experience building or tuning anomaly detection, forecasting, or pattern recognition models
Ability to operationalize models into alerting or reporting systems (not just notebooks)
Experience designing or supporting alerting frameworks tied to system or business thresholds
Familiarity with tools like Elastic, Kibana, Splunk, or similar observability platforms
Proven ability to build actionable dashboards (Power BI, Kibana, etc.)
Demonstrated ability to investigate anomalies, trace issues across systems, and identify root causes
Ability to work directly with operations, product, and engineering teams
Experience improving alert logic, reducing false positives, and scaling analytics workflows
Ability to document data models, dashboards, and alerting logic for reuse and maintainability.

Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
Life Assurance Policies: Providing financial security for your loved ones.
Modern Family Benefits: Support for maternity, paternity, and adoption needs.
Long Service Award: Recognition for your dedication and loyalty.
Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
Flexible Benefits Plan : Offering you wider choice of services and products
Employee Assistance Program : Access support for personal and work-related challenges.
Flexible Working Arrangements: Balance work and personal life effectively.
Access to Learning and Development Resources: Empowering your professional growth.

Business Consultant

Key skills