Senior Data & AI Analytics Developer II

About the role

In this role, you will be responsible for developing large-scale business intelligence solutions aimed at enhancing financial transparency and aiding decision-making processes across Finance, Accounting, and associated departments. Your expertise will guide the entire lifecycle of data initiatives, from initial architectural design through to the implementation of AI-enhanced reporting systems.

Key facts

What you'll do

• Lead the development and implementation of AI-driven analytics, utilizing advanced BI platforms such as Aperium to evolve from traditional static dashboards to dynamic, conversational self-service insights.
• Create innovative AI-native reporting interfaces that empower leadership with automated data exploration capabilities and natural language querying features.
• Oversee the comprehensive development of dashboards and data models, ensuring thorough requirements gathering, validation processes, and continuous enhancements.
• Craft intricate SQL transformations to seamlessly integrate data from ERP, MES, and HRIS systems, while rigorously testing to maintain data accuracy.
• Communicate model logic and analytics strategies to both technical team members and executive stakeholders, ensuring alignment and understanding.
• Ensure the performance, usability, and data currency of all AI analytics products, maintaining high standards of quality.
• Advocate for documentation best practices and drive quality improvements across the team to enhance overall productivity and efficiency.
• Collaborate with cross-functional teams to identify and address data-related challenges, ensuring that analytics solutions meet business needs.
• Mentor junior team members, sharing knowledge and fostering a culture of continuous learning within the analytics team.
• Analyze user feedback and performance metrics to inform future iterations of analytics tools and reporting systems.
• Stay updated on industry trends and emerging technologies in data analytics and AI, applying this knowledge to enhance existing processes and tools.

Requirements

• A minimum of 7 years of experience in the fields of business intelligence and data modeling, demonstrating a strong track record of successful project delivery.
• At least 2 years of direct experience working with financial or accounting data, showcasing an understanding of the unique challenges in this domain.
• Strong proficiency in SQL, with hands-on experience in working with ERP data systems to extract and manipulate data effectively.
• Familiarity with AI-driven analytics platforms such as Aperium, Tableau Pulse, or ThoughtSpot, with a focus on leveraging these tools for enhanced insights.
• Experience with dbt, GitLab, and CI/CD pipelines, highlighting your ability to automate workflows and improve efficiency.
• Knowledge of semantic layers and data structures that are optimized for AI applications, ensuring that data is accessible and usable.
• Expertise in data visualization techniques, data storytelling, and proficiency in Microsoft Office tools to present insights effectively.
• Strong documentation skills, with the ability to define metrics clearly and provide user training to ensure effective tool usage.

Nice to have

• Experience with Infor LN or similar ERP systems, which can enhance your ability to work with financial data.
• A background in the manufacturing or aerospace industries, providing context for the specific challenges faced in these sectors.
• Familiarity with Power BI or legacy BI tools, which could be beneficial for migration projects and integration efforts.
• Understanding of RAG architecture, prompt engineering, or capabilities related to large language models (LLMs), adding depth to your analytics skill set.

Skills & tools

• Proficient in SQL, ERP systems, dbt, GitLab, CI/CD, Aperium, Tableau Pulse, ThoughtSpot, Microsoft Office, and semantic layers.

Practical notes

• The compensation package includes both salary and equity options, along with a comprehensive benefits program that features paid time off (PTO), sick leave, parental leave, and a stipend for learning and development opportunities.
• The company is committed to providing reasonable accommodations for applicants and employees, which can be requested by contacting accommodations@relativityspace.com.
• Please note that Relativity does not accept unsolicited resumes or referrals from recruitment agencies, ensuring a streamlined hiring process.