About the role
We are looking for a skilled Data Analyst with strong expertise in SQL, data analysis, dashboarding, ETL workflows, and data quality management. The ideal candidate should be capable of analyzing complex datasets, building reliable data pipelines, and delivering actionable insights using BI tools and cloud-based data platforms.
Responsibilities:
- Write and optimize complex SQL queries involving joins, subqueries, aggregations, and large datasets.
- Perform data analysis to identify trends, patterns, anomalies, and actionable business insights.
- Develop and maintain dashboards and reports using Looker, Looker Studio, or Qlik.
- Build, monitor, and maintain ETL workflows for efficient data processing and transformation.
- Schedule and orchestrate data pipelines using Apache Airflow.
- Perform data quality checks, validation, reconciliation, and root-cause analysis.
- Work with cloud data platforms, preferably Google Cloud Platform (GCP) and BigQuery.
- Collaborate with business stakeholders and cross-functional teams to understand analytical requirements.
- Use Git for version control and Jira and Confluence for task management and documentation.
- Identify opportunities to automate reporting, optimize queries, and improve data processing efficiency.
Requirements:
- Strong SQL and data analysis skills.
- Expertise in complex queries, joins, and aggregations.
- Hands-on experience with Looker, Looker Studio, or Qlik.
- Knowledge of ETL workflows and Apache Airflow.
- Experience in data quality validation and reconciliation.
- Familiarity with Git, Jira, and Confluence.
- Exposure to cloud platforms; GCP and BigQuery are preferred.
- Experience Required: 2-6 Years.