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As a Data Analytics Consultant, you will work directly with clients to define business problems and analysis requirements. You will use analytical skills to manage data, create reports, and communicate results effectively while ensuring business value is achieved.

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.

The role involves managing marketing campaigns for the consumer lending/cards business, ensuring accurate end-to-end execution and timely delivery. Responsibilities include applying data science techniques, collaborating with stakeholders to design analytic solutions, and managing analytics projects with global teams.

The Azure PaaS Product Manager will develop and launch new products and services tailored to customer needs, collaborating with cross-functional teams for timely and quality delivery. Responsibilities include executing product launch plans, managing product budgets, and maintaining relationships with key stakeholders, focusing mainly on the Azure PaaS marketplace and product requirements.

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.

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.