Analytics and AI Developer

Responsibilities

• Design, develop, and maintain analytics, reporting, and AI-driven applications.
• Build and optimize data pipelines, integrations, and automated workflows across multiple systems.
• Create and support machine learning and AI solutions to improve decision-making and operational efficiency.
• Analyze large datasets to identify trends, anomalies, and business opportunities.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Develop and maintain APIs and integrations between enterprise applications and analytics platforms.
• Ensure data accuracy, consistency, governance, and security across systems.
• Perform root cause analysis and troubleshoot issues related to data quality, integrations, and analytics solutions.
• Document technical processes, architectures, and development standards.
• Support cloud-based analytics and AI platforms such as Snowflake, Agentforce, Co-Pilot, and others.
• Perform impact analysis for upstream and downstream data changes across integrated systems.
• Contribute to data governance initiatives, including defining standards, best practices, and data quality SLAs to support data security, compliance, and integrity as well as implement access control processes.
• Work closely with Sales, Marketing, Business Development, Manufacturing, Quality, Applications, and other business stakeholders to understand data requirements, and deliver effective solutions.
• Stay current with emerging AI, analytics, and automation technologies and recommend improvements.
• Determine if any may fit or address a gap in the business.
• Test and evaluate potential candidates.
• Identify potential/new risks posed by other Company processes and technologies.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, or related field.
• Minimum 3 years of experience in analytics, software development, data engineering, or AI-focused roles.
• Strong proficiency in Python and SQL.
• Experience with cloud data platforms such as Snowflake, Azure Synapse, AWS Redshift, or BigQuery.
• Experience with BI and visualization tools such as Power BI, Tableau, or Looker.
• Familiarity with AI and machine learning frameworks and tools.
• Experience working with APIs, ETL processes, and system integrations.
• Strong understanding of database structures, data modeling, and data governance.
• Excellent problem-solving, analytical, and communication skills.