Senior Analyst, Data Automation
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a portfolio of AI-driven digital initiatives from ideation through implementation and value realization aligned with strategic business objectives.
Design, develop, and maintain scalable, secure data pipelines and integration solutions using Azure, Dataverse, Databricks, SQL Server, Alteryx, Power Automate, and Python.
Leverage advanced AI tools including Generative AI, LLMs, and AI-assisted development to accelerate data transformation, metadata analysis, and code development.
Minimum Requirements
Bachelor's degree in Information Technology, Computer Science Engineering, or a Masters in Mathematics with digital software experience.
Minimum 4 years of related work experience in AI-driven data automation or digital analytics roles.
Hands-on experience with building advanced AI agents and proficient with tools such as Databricks, Dataverse, Azure Data Services, SQL Server, Python, Alteryx, and Power Automate.
Excellent English communication skills for technical and business stakeholder interactions.
Ideal Candidate Profile
Experienced in managing multiple complex AI and data engineering projects concurrently in fast-paced environments with minimal supervision.
Strong domain expertise in AI, data architecture, and developing end-to-end cloud-based data engineering solutions, preferably in healthcare, pharma, or MedTech sectors.
Capable of translating technical complexity into clear, actionable business insights and driving adoption of AI-powered solutions for measurable business impact.