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The Sr./Lead Consultant will leverage data science and analytics to address business issues, collaborating with team members to implement analytic techniques, and engaging with senior client leaders to create actionable insights and solutions. Responsibilities include project breakdown, team management, and presenting data-driven results to stakeholders.

The Data Engineer will architect, design, and implement advanced analytics capabilities, build large-scale data processing pipelines, develop self-service dashboards, and provide insights from complex data sets to tackle business challenges.

As a Data Architect at Tiger Analytics, you will be responsible for designing and implementing data solutions aligned with business goals. This involves developing data architecture blueprints, optimizing Snowflake performance, and collaborating with stakeholders to translate requirements into technical specifications. You will also ensure data governance and lead the adoption of new technologies while working in a team for data visualization and reporting.