Search the 78 jobs at Tiger Analytics (tigeranalytics.com)

The Product Manager will manage project development and implementation, ensuring timely delivery and desired outcomes. Responsibilities include directing project schedules, using agile methodologies, overseeing project teams, and coordinating deliverables.

As a Senior Data Scientist at Tiger Analytics, you will apply your expertise in AI, machine learning, and generative AI to design and build advanced analytics solutions. This role involves collaboration with cross-functional teams to address technical challenges, evaluate and enhance generative AI models, and engineer features from diverse data sources while contributing to the development of best practices in data science.

The Lead Data Scientist will apply expertise in AI to design and build advanced analytics engines, solve business problems using data science methods, and collaborate with a team of data scientists and engineers. They will communicate solutions to business partners and ensure models are scalable and interpretable.

The Technical Project Manager will manage and oversee project-related activities, ensuring timely delivery and desired outcomes. Responsibilities include developing project plans, managing timelines, coordinating with teams across various disciplines, and utilizing Agile methodologies to guide product roadmaps and manage backlogs.

The Manager/Senior Manager in Technology Consulting at Tiger Analytics will manage large-scale data analytics client engagements, collaborating with technology and program teams, presenting solutions, and overseeing project implementation. Responsibilities include understanding business requirements, managing senior client stakeholders, and developing analytics solutions leveraging modern technologies.

The Data Science Manager will lead the Pricing and Promotion Optimization team to develop strategies enhancing pricing initiatives. Responsibilities include roadmap development, quarterly planning, team leadership, stakeholder collaboration, and market analysis, while mentoring data scientists and ensuring alignment with business goals.

Analyze business requirements, construct conceptual models, support dashboards, and lead migration from Alteryx to other tools like Snowflake and PowerBI. Engage with stakeholders, optimize Alteryx architecture, and work in an agile environment.

As an Azure DevOps Engineer, you will design and manage DevOps processes, implement CI/CD pipelines, and enhance Azure infrastructure performance, while collaborating with development teams and ensuring compliance with security standards.

As a Senior Data Steward Manager, you'll oversee data governance and management within the organization, ensuring data quality, compliance, and privacy. You'll partner with cross-functional teams, identify data sources, perform analysis, and promote adherence to governance standards while coordinating with various stakeholders to maintain consistent enterprise data across business segments.

The Power BI Developer will leverage extensive experience in Business Intelligence to design and implement data solutions while generating actionable insights. Responsibilities include developing self-service dashboards, conducting data analysis, and applying expertise in ETL and data warehouse concepts, particularly using Power BI, SQL, and Snowflake.

The role involves managing analytics projects, engaging with executive stakeholders, translating business problems into analytics solutions, and ensuring efficient delivery of projects while collaborating with global teams. Presenting analytical findings to senior management and operationalizing solutions is also key.

The Tableau Consultant at Tiger Analytics will develop user interfaces and dashboards on Tableau, utilizing advanced SQL skills. Responsibilities include creating metrics, filters, charts, and tables while authoring technical documentation and collaborating with other teams. The role demands analytical problem-solving abilities and the application of Tableau best practices.

The Data Product Manager will translate business problems into analytics solutions, manage analytics projects, and communicate insights to stakeholders. Responsibilities include developing end-to-end analytics solutions, overseeing data management within the Enterprise Data Foundation, and building data roadmaps for global initiatives.

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.

The BI Senior Manager will lead the development of enterprise BI and dashboard initiatives by engaging with stakeholders, analyzing requirements, ensuring data architecture meets business needs, building dashboards, managing client issues, and ensuring data quality while collaborating with cross-functional teams.

The Data Architect will design and implement data solutions tailored to complex business needs, focusing on Snowflake architecture. Responsibilities include developing data blueprints, optimizing performance, ensuring data governance, and collaborating with stakeholders for technical specifications and data integration.

The Data Engineer will design databases, manage complex data sets, and develop self-service dashboards. They will apply analytical skills to derive insights for solving business problems and enhance data analytics capabilities within the company.

The role involves leading teams to create data-driven solutions using data science and analytics. Responsibilities include extracting and organizing data, developing predictive models, facilitating discussions with stakeholders, and ensuring high-quality results. Candidates should have extensive experience in data science, supply chain analytics, and familiarity with analytics tools and methodologies.

The Technical Project Manager will oversee project management activities, ensuring timely delivery and successful execution of projects within a consulting environment. Responsibilities include managing timelines, coordinating resources, and using agile methodologies to guide product development and project processes.

The Sr. Manager/AD - BI Strategy and Consulting will analyze business needs, develop data processing models, manage risk compliance, and partner with teams to improve business functions through data-driven solutions. The role requires managing client issues and leading initiatives for a Business Intelligence Strategy.