Search the 98 jobs at Tiger Analytics

The Senior Data Engineer will design, build, and maintain scalable data pipelines on cloud infrastructure. They will collaborate with cross-functional teams on data analytics and business intelligence initiatives, requiring expertise in SQL, ETL pipeline development, and cloud platforms.

The Associate in Human Resources will support various HR functions including onboarding, performance management, learning and development, and employee engagement. The role involves enhancing HR offerings, maintaining payroll, and compliance, alongside tracking and analyzing data using HR tools.

The Technology Partner role at Tiger Analytics involves providing thought leadership, managing client relationships, and leading technology transformation initiatives. Responsibilities include developing technology solutions, overseeing data governance practices, guiding consulting efforts, and mentoring engineering talent across various data platforms and architectures.

The Project Manager will facilitate agile project processes, enhance team collaboration, and manage multiple project aspects for GenAI initiatives. Responsibilities include engaging with stakeholders, maintaining project documentation, and ensuring effective communication. The role requires a strong background in data analytics and project management, focusing on delivering projects successfully and adapting agile methodologies as needed.

The BI Strategy Consultant will analyze business requirements, create data models, design reviews, and manage client issues. Responsibilities include building BI strategy, collaborating with analysts, ensuring data quality, and driving insights from data.

The Technical Data Steward will oversee data governance, ensuring data quality and integrity within the organization. This role involves working with data owners and IT teams to implement data policies and standards, conduct data quality initiatives, and manage the lifecycle of data assets. The Steward will also develop data dictionaries and ensure compliance with internal and external regulations.

The Sr. Azure Data Engineer will develop efficient data pipelines, work with Azure technologies, and harmonize data for analytics. Responsibilities include coding in Scala, integrating APIs, building data ingestion pipelines, and ensuring data systems align with business goals.

As an MLOps Engineer at Tiger Analytics, you will develop and manage machine learning pipelines, deploy and test models using AWS services, and collaborate with Data Engineers and Data Scientists to enhance data workflows. You will also implement monitoring solutions and develop data quality frameworks.

The role involves managing analytics projects in the insurance sector, translating business problems into analytics solutions, and presenting findings to stakeholders. It requires strong expertise in data analytics, visualization, and model deployment, along with leadership and team management skills to engage with senior clients.

The Azure Databricks Administrator will provide technical expertise in deploying applications on the Azure Databricks platform, manage memory and performance, supervise cluster health checks, and ensure regular backups and recovery. This role involves supporting the development team and creating technical documentation.

As a Solutions Architect at Tiger Analytics, you will lead the integration of system solutions for regulatory compliance and safety, focusing on PLM systems and supply chain systems. You will analyze business processes, suggest improvements, manage architecture alignment, and support project lifecycles. Your experience in multiple disciplines and technologies will drive efficiency and enhance user experience.

As a Data Engineer at Tiger Analytics, you will design and maintain data pipelines and infrastructure, collaborate with data scientists, and support decision-making through efficient data flow. You will manage Azure Databricks workspaces, configure access controls, and ensure best practices in data security and integration.

The Project Manager will facilitate agile methodologies, manage project execution for data analytics and BI consulting, and collaborate with stakeholders to enhance project delivery. Responsibilities include backlog management, communication facilitation, and maintaining project documentation.

As an AWS Data Engineer, you will design, build, and maintain scalable data pipelines on AWS cloud infrastructure. Responsibilities include implementing data processing workflows, building orchestration workflows using Apache Airflow, and collaborating with cross-functional teams to deliver data solutions while optimizing for performance and cost-effectiveness.

The Supplychain Manager at Tiger Analytics will drive innovation and analytics solutions for global teams, requiring strong communication and interpersonal skills to interact with clients and technical staff. Responsibilities include creating documentation, managing reporting environments, troubleshooting databases, and training users on reporting tools.

The Senior Tableau Developer will design and develop Tableau reports and visualizations, analyze business requirements with stakeholders, optimize performance, and focus on user experience by creating intuitive dashboards. The role involves collaboration with IT and business teams to enhance decision-making and data representation, while working with large datasets and analytics tools.

The Power BI Developer will design and build self-service dashboards, and manage large data sets to generate insights. Key responsibilities include coordinating with stakeholders to develop KPIs, leveraging strong expertise in Power BI, SQL, and Snowflake, while contributing to the firm’s analytics initiatives and solutions.

The Technical Project Manager will manage the development and implementation of analytics projects, ensuring timely delivery and achieving desired outcomes. The role involves overseeing project activities, managing tools and methodologies, coordinating teams, and leading projects of moderate to complex scope.

As a Senior Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and infrastructure using Dataiku. You will collaborate with data scientists and analysts to ensure effective data flow and support decision-making processes across the organization.

The Sr. Manager - BI Consulting will lead BI initiatives by engaging with stakeholders to gather requirements, analyze business processes, and communicate data architecture. Responsibilities include managing BI dashboard development, ensuring data quality, and working closely with technical teams and clients to deliver scalable solutions.