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Design, build, and test end-to-end data solutions: identify sources, map data flows, implement ETL into data warehouses, support reporting (Tableau/PowerBI/Qlickview), and provide ad hoc analysis and process improvements.

Lead client engagements to discover needs, profile and analyze data, design and deliver BI dashboards and reports, write and optimize SQL, build ETL/data pipelines, apply statistical analysis and basic ML, collaborate cross-functionally, and present solutions to stakeholders using Agile delivery.

As an AI/ML Consultant, you will engage with clients to understand their needs, analyze data, design BI reports, and collaborate on solutions using Agile methodologies.

Perform stakeholder interviews and exploratory analysis to surface insights; build dashboards and reports; profile data and assess quality; leverage cloud data platforms; collaborate with engineers and clients; facilitate agile workshops and explore AI/GenAI to accelerate reporting and decision intelligence.

The Operations Analyst manages invoicing processes, ensures data integrity, reconciles accounts, administers projects, and improves operational efficiency at Inspire11.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

Lead a service line or portfolio, own revenue and margin targets, ensure delivery excellence at scale, build and develop senior leaders, drive commercial strategy, and enforce operational discipline and governance.

The DevOps Engineer will lead multiple client projects, design and support applications, and mentor other engineers, utilizing modern development practices and technologies.

The role involves managing client engagements, driving sales and project delivery, mentoring team members, and advising on emerging technologies.