Quantitative Analyst- Applications Developer

Description

Embark on a rewarding and challenging career as an AI & Analytics Solutions Developer with our dynamic team- the Data Analytics & Reporting Team (DART) where we specialize in delivering analytic solutions that drive operational efficiency and generate actionable insights. By developing robust web platforms, custom applications, and dynamic reports, we empower our businesses to make informed decisions and optimize performance. Leveraging advanced technology and Big Data tools, DART transforms complex data into clear, impactful intelligence—enabling teams to identify trends, uncover opportunities, and streamline processes for greater customer satisfaction, employee engagement, and profitability.

As an AI & Analytics Solutions Developer in Data Analytics and Reporting, you will join our team of Tableau and data developers where you will split time between supporting the team—elevating our reporting and analytics capabilities—and delivering individual solutions that unlock new ways to provide data and insights to our customers. You will be passionate about leveraging AI, advanced analytics, and modern application development to push the boundaries of our existing technology stack.

Job responsibilities

Mentor and assist Tableau/data developers in integrating advanced analytics, AI, and custom visualizations into reporting solutions.

Enable the team to leverage Python, AI/ML, and automation within Tableau, Alteryx, AWS, and Databricks.

Research and introduce new technologies, frameworks, and best practices to elevate reporting and analytics delivery.

Develop reusable components, templates, or scripts that enhance team productivity and solution quality.

Design and build innovative applications, web solutions, or AI-powered tools that deliver data in new, impactful ways.

Develop and deploy custom LLM models, generative AI solutions, or automation tools to improve data delivery and user experience.

Collaborate with stakeholders to understand business needs and translate them into technical solutions and

Ensure solutions are scalable, secure, and aligned with best practices in cloud environments (AWS).

Required qualifications, capabilities, and skills

Advanced proficiency in Tableau, Python, and data engineering tools (Alteryx, AWS, Databricks).

Experience integrating AI/ML models and advanced analytics into reporting platforms and experience with cloud environments and DevOps practices

Strong application/web development skills (e.g., Flask, Django, Streamlit, React, or similar) and familiarity with LLMs, generative AI, and automation tools (Co-Pilot, VSCode, LLM Suite).

Ability to mentor and upskill team members in new technologies and approaches and excellent problem-solving, communication, and collaboration skills.

Bachelor’s degree in computer science, Data Science, Engineering, or related field (or equivalent experience).

Curiosity, creativity, and imagination with a passion for data analysis, continuous learning, and professional development.

Enthusiasm for building visually compelling, user-friendly applications,

Preferred qualifications, capabilities, and skills

Strong understanding of data visualization principles and experience building interactive dashboards.

Experience with web hosting and deploying data-driven applications.

Prior work in financial services or regulated environments.

Knowledge of data visualization best practices and advanced Tableau features.

Experience with API development and integration.