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Job Description & How to Apply Below
Develop and deliver advanced data reporting and analytics solutions to support operational decision-making.
Primary
Build Python-based data pipelines, scripts, and API integrations for automation and advanced analytics.
Work with Generative AI tools and architectures, including Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG) applications, and platforms such as Google Gemini and OpenAI.
Write and maintain complex SQL Server queries, stored procedures, and functions, ensuring performance tuning and best practices.
Secondary
Design and optimize Power BI solutions, including DAX measures, Power Query transformations, and data modeling for performance and scalability.
Leverage Service Now for reporting and analysis of ticketing data, providing operational insights and improvement opportunities.
Utilize Microsoft Copilot and other AI assistants to improve team efficiency and decision-making.
Ensure deliverables meet quality standards and align with business objectives.
Take ownership of assigned tasks, proactively communicating progress and risks to stakeholders.
Actively contribute ideas for automation, innovation, and process improvement.
Qualifications
Minimum 5 years of professional experience in analytics, operations consulting, or related roles.
Practical exposure to Generative AI, LLMs, Prompt Engineering, RAG architectures, and tools like Google Gemini and OpenAI.
Proficiency in Python for data manipulation, automation, and API integration.
Strong SQL Server skills with experience in writing and optimizing complex stored procedures and functions.
Proven expertise in Power BI (DAX, Power Query, data modeling).
Knowledge of Service Now reporting and ticketing data analytics will be an advantage.
Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred).
Excellent communication skills, both written and verbal.
Strong collaboration and stakeholder management skills.
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