What We Do:

📍Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization. 📍Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools. 📍Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions. 📍Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance. 📍Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.

What We Look For in You:

📍In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills: 📍Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas). 📍Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases. 📍Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization. 📍Intermediate to Advanced Python: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks. 📍Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.

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