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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.
As a Senior Consultant/Manager in Analytics, you will leverage advanced data science applications to address business challenges, manage technical data requirements, and collaborate with stakeholders to create data models. Your role includes data validation processes, utilizing SQL and Python, and leading project efforts through effective communication and strategic planning.
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 Data Engineer will design, develop, and maintain scalable data pipelines, implement and optimize distributed data processing solutions, and collaborate with data scientists to operationalize ML models while ensuring data quality and reliability.
The Manager/Sr Manager of Analytics will oversee the coordination with functional teams and stakeholders, managing Agile activities using Jira and Confluence, building data pipelines, and developing training for automation solutions. The role requires strong communication skills and experience in FP&A and managing complex software deployments.
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 Data Engineer will architect, design, and implement advanced analytics capabilities, focusing on data integration, pipeline development, and reporting support. Key tasks include maintaining data synchronization with Oracle and Snowflake, optimizing data models, and using Airflow and Python for data processing.
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 Talent Acquisition Specialist, you will develop and execute recruitment strategies, manage the entire recruitment lifecycle, and mentor a recruitment team. You will build strong relationships with hiring managers and utilize recruitment data to improve processes, ensuring positive candidate experiences.
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.
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