Data Automation Analyst

• Collect, clean, analyze, and connect data from multiple sources to support business decisions and operational workflows.

• Build and improve automated data workflows and AI-enabled tools that reduce manual effort and improve efficiency.

• Prototype data and automation solutions using modern tools, including Python where appropriate, and connect existing internal data sources to support new use cases.

• Explore modern AI tools and identify practical opportunities to apply them to business processes and user needs.

• Partner with engineering and technical teams when prototypes require deeper system integration or production support.

• Proactively identify relevant stakeholders and data owners, clarify requirements, and drive cross-functional work forward.

• Connect insights across systems, datasets, and stakeholder conversations to recommend thoughtful solutions.

• Contribute to intuitive user experiences for internal tools; UI/UX thinking, prototyping, and design contributions are welcome.

• Identify trends, patterns, and anomalies in data and communicate findings clearly to stakeholders.
• Document data processes, methodologies, and automation workflows for knowledge sharing and continuity.
• Ensure data accuracy, consistency, and integrity across deliverables.
• Support ad hoc analysis and special projects as needed by the business.

• 2-4 years of relevant professional experience in data analytics, automation, business systems, operations analytics, or a related field.

• Hands-on experience working with large or complex datasets across multiple formats or sources.

• Demonstrated curiosity and hands-on experience using modern AI tools to improve workflows, analysis, or problem solving.

• Strong analytical and problem-solving skills with high attention to detail.

• Proactive working style with the ability to independently investigate problems, connect the dots, and engage the right stakeholders.

• Excellent written and verbal communication skills, with the ability to work across technical and business teams.

• Ability to work independently, manage priorities, and deliver high-quality work within deadlines. Preferred Qualifications

• Experience using Python for data analysis, automation, prototyping, or connecting data sources.
• Experience connecting existing data sources or systems into automated or AI-enabled workflows.
• Experience with UI/UX, product thinking, prototyping, or visual/design creation.

• A portfolio or examples of tools, automations, dashboards, prototypes, designs, or other solutions created is highly encouraged.

• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with databases, data pipelines, APIs, or system integrations.
• Experience partnering with engineering or technical teams to evolve prototypes into scalable solutions.
• Experience in sales operations, finance, supply chain, NPI, or another cross-functional business environment

** All submissions must have LinkedIn id of Candidate**