Analytics Developer

Role Overview: You are seeking a NetSuite Analytics Developer & Data Warehousing expert to design, build, and optimize NetSuite analytics solutions and enterprise data warehouses. Your role involves leveraging NetSuite's SuiteAnalytics tools and external data warehousing platforms such as Oracle Analytics Warehouse, Google Cloud Platform (GCP), and Snowflake to deliver scalable, data-driven insights through advanced visualizations and reporting across the organization. Key Responsibilities: - Designing, developing, and maintaining SuiteAnalytics reports, saved searches, and dashboards within NetSuite to meet evolving business needs. - Building and optimizing data pipelines and ETL processes to integrate NetSuite data into enterprise data warehouses, developing data models and schemas, and maintaining data marts to support business intelligence and analytical requirements. - Implementing advanced visualizations and reports using tools such as Tableau, Power BI, or Looker, ensuring high performance and usability. - Collaborating with business stakeholders to gather requirements and translate them into effective technical solutions. - Monitoring, troubleshooting, and optimizing data flow and reporting performance, ensuring data governance, security, and quality standards are upheld across analytics and reporting systems. - Providing documentation, training, and support to end-users on analytics solutions. Qualifications Required: - Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum of 3 years of experience working with NetSuite, including SuiteAnalytics (saved searches, datasets, workbooks). - Strong expertise in data warehousing concepts, ETL processes, and data modeling. - Hands-on experience with external data warehouse platforms such as Oracle Analytics Warehouse, GCP (BigQuery), or Snowflake. - Proficiency in SQL and performance optimization of complex queries. - Experience with BI and visualization tools like Tableau, Power BI, or Looker. - Understanding of data governance, compliance, and best practices in data security.,