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The role involves engaging with stakeholders to gather BI and dashboard requirements, analyzing business needs, constructing data models, and utilizing BI tools to create dashboards. The responsibility includes collaborating with teams to resolve client issues, ensuring data quality, and implementing risk mitigation strategies.

The Cloud Data Architect will mentor and support data engineers, review work to implement best practices, manage production processes for data ingestion and transformation, and engage with clients to provide architectural solutions. Responsibilities include designing scalable data frameworks, enhancing security and resiliency, and leveraging cloud technologies for data management.

Responsible for architecture and implementation of best data practices on the Azure platform, working on Azure Hub, Databricks, and data management principles to manage structured and unstructured data.

The Power BI Lead will focus on advanced analytics within the CPG sector, utilizing their expertise in database design, data visualization, and analytics to generate insights and business solutions. The role requires collaboration with executive stakeholders and hands-on experience with data warehousing and ETL processes.

The Senior Manager - Data Engineering/Reporting will lead data engineering and reporting projects, translating business problems into engineering solutions, managing teams, and presenting analytic solutions to stakeholders. Responsibilities include hands-on work with SQL and data visualization, while ensuring best practices and collaboration with internal teams and clients.

The BI Technical Product Owner engages with stakeholders to formulate solutions for enterprise BI initiatives, analyzes business requirements, consults on design reviews, utilizes BI tools for dashboard support, manages client issue resolution, and collaborates with offshore teams to deliver scalable BI solutions.

As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure, supporting data integration and collaboration with data scientists and analysts to facilitate data-driven decision making.