Snowflake Snowpro Advanced Certification Jobs

The Finance Data Analyst role is a remote position within the Data Science and Analytics department, focused on delivering business solutions to finance operations teams. The individual will capture, shape, and present data using modern reporting platforms to support Order-to-cash and Procure-to-pay processes. Key responsibilities include engaging with business leaders to define project requirements, integrating data from multiple source systems into standardized formats, and creating dashboards to track key performance indicators. The position offers an opportunity to work with emerging technologies such as agentic AI and RPA while developing expertise in tools like Power BI and SQL. This role appeals to candidates seeking a collaborative environment where they can apply Lean Six Sigma methods to improve critical business processes.

This remote Finance Data Analyst role supports finance operations teams by delivering business solutions through modern reporting platforms. The position focuses on capturing, shaping, and presenting data into clear dashboards and tables to optimize Order-to-cash and Procure-to-pay processes. Key responsibilities include collaborating with business leaders to define project requirements, integrating data from multiple sources into standardized formats, and developing visual tools to track key performance indicators. The role also involves exploring emerging technologies like agentic AI and RPA to enhance business efficiency. This opportunity appeals to candidates seeking to apply their skills in Power BI, SQL, and Lean Six Sigma within a collaborative environment. The position offers full remote flexibility and is ideal for recent graduates or professionals with up to one year of experience looking to grow their expertise in data analytics and finance.

This senior data infrastructure role at 10Beauty, a robotics startup in Burlington, MA, focuses on building the foundational data architecture for the world's first autonomous manicure machines. The position involves designing scalable ETL pipelines to process high-volume operational and machine-generated data, architecting the company's data warehouse, and establishing governance and monitoring systems to support analytics and future AI initiatives. The role offers significant ownership as the first hire in this domain, allowing the engineer to shape data strategy from the ground up while collaborating with robotics and product teams. The opportunity is appealing for its chance to work on cutting-edge autonomous technology in a fast-growing environment with a mission to redefine beauty robotics. The position is based on-site in Burlington.

This role within Apple's Services Finance Data Science and Engineering team focuses on building and optimizing financial data platforms to support product innovation. The position involves partnering with business stakeholders to translate complex requirements into data-driven solutions, utilizing AI coding assistants and agentic frameworks to rapidly prototype and deploy analytical models. Key responsibilities include designing scalable analytics pipelines, conducting rigorous statistical analysis, and creating self-serve dashboards that empower decision-making. The role appeals to candidates who thrive in a collaborative culture of excellence and offers the opportunity to work with cutting-edge AI tools to accelerate delivery. The position requires a strong background in Python, SQL, and machine learning, with a focus on shipping production-ready solutions in a dynamic environment.

This Engineer or Senior Engineer role within American Airlines' IT Data domain focuses on designing and implementing scalable data solutions to drive business insights and operational reliability. Key responsibilities include building batch and streaming data pipelines using Microsoft Azure services, managing data migration and governance, and leading DevOps practices for cloud infrastructure. The position offers the opportunity to mentor team members, establish coding standards, and work on high-impact projects involving machine learning and AI. The role is appealing due to the company's commitment to diversity and inclusion, access to extensive travel perks, and a supportive culture that encourages professional growth and work-life balance.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on leading the development of innovative AI and machine learning solutions specifically for health systems. The position involves designing and implementing advanced algorithms, building RAG pipelines, and managing model governance in regulated environments to transform clinical data into actionable insights. Key responsibilities include serving as a strategic advisor to clients, fostering high-performing diverse teams, and navigating complex healthcare challenges to drive operational excellence. The opportunity is appealing for its focus on cutting-edge generative AI applications in healthcare, offering significant professional growth through continuous learning and the chance to shape industry standards. The role requires up to 80% travel and operates within a hybrid work arrangement.

This role serves as an AI Solutions Architect within the Accounting and Finance department, focusing on designing and governing AI initiatives for a large retail organization. The position involves mapping complex financial data flows to ensure seamless integration between AI applications and core ERP systems while maintaining strict auditability and reconciliation integrity. Key responsibilities include establishing architecture standards for financial AI use cases, documenting end-to-end process flows, and collaborating with finance leadership to translate business requirements into secure, scalable technical solutions. The role offers the appeal of working at the intersection of advanced AI technology and critical financial operations within a collaborative Center of Excellence. The position is based in a hybrid arrangement requiring three days in the Lincolnshire office.

This Full-Time Research Associate role within the Fundamental Research Group supports Fixed Income Investment Professionals by conducting bottom-up fundamental research on Emerging Markets and Investment Grade Corporates. Key responsibilities include performing deep financial analysis on bond issuers, drafting research notes, facilitating meetings with stakeholders, and contributing to the credit investment process. The position offers a collaborative culture that values diverse perspectives and authentic self-expression, alongside opportunities for professional growth through mentorship and on-demand development resources. The role provides flexible work options, generous benefits, and occasional travel for research trips, allowing associates to balance a full life with their career goals.

This full-time Data Scientist role supports a large Federal agency by delivering advanced analytics to optimize contact center and field office operations. The position involves designing predictive models for workforce management, building robust data pipelines for complex datasets, and collaborating with stakeholders to present strategic insights to executive leadership. The role offers a hybrid work arrangement in Woodlawn, MD, within a supportive culture that prioritizes professional growth through education reimbursement and continuous development. Candidates will join a recognized, fast-growing company known for its collaborative environment, commitment to innovation, and focus on making a positive community impact.

This senior engineering role within the Facilities Engineering & Construction team focuses on leading electrical design and execution for oil and gas facilities. Key responsibilities include developing power distribution standards, specifying instrumentation and control systems, managing procurement, and overseeing commissioning and startup activities. The position requires coordinating with utilities, performing arc flash studies, and ensuring compliance with safety codes. The role offers a hybrid work arrangement with up to 25% travel and provides opportunities for professional growth within a diverse, inclusive environment that supports work-life balance through flexible scheduling and comprehensive benefits.