Posted on: 27/11/2025
Description :
Key Responsibilities :
- Analyze large datasets to identify trends, patterns, and actionable insights.
- Develop dashboards, reports, and visualizations to support business decision-making.
- Build, maintain, and optimize SQL queries and data pipelines.
- Work extensively with GCP, Snowflake, SQL, and Python for data extraction, transformation, and automation.
- Collaborate with cross-functional teams including Product, Engineering, and Business stakeholders.
- Ensure data accuracy, consistency, and quality across all reporting processes.
- Participate in data modeling, performance tuning, and workflow automation.
- Troubleshoot data issues and perform root-cause analysis.
- Document processes, pipelines, and best practices.
Required Qualifications :
- 35 years of proven experience in data analysis, reporting, and visualization.
- Strong proficiency in GCP, SQL, Snowflake, and Python.
- Advanced SQL skills for writing complex queries, performance tuning, and optimization.
- Hands-on experience using Python for data manipulation, automation, or analytics.
- Experience working on data projects in a fast-paced environment.
- Strong analytical mindset with excellent problem-solving abilities.
- Ability to communicate insights clearly to technical and non-technical stakeholders.
Preferred Skills :
- Experience with BI tools such as Tableau, Looker, Power BI (optional).
- Understanding of ETL/ELT processes.
- Knowledge of data warehousing concepts.
- Ability to handle multiple projects with attention to detail
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1580904