Business Analytics Developer & AI Integrator

BBB | Better Business Bureau•Daphne, AL

About The Position

As the Business Analytics Developer & AI Integrator, you’ll design, develop, and operationalize advanced analytics and AI-enabled solutions across the enterprise. Blending deep technical skill with business acumen, you’ll accelerate data-driven decision-making, automate complex workflows, and embed artificial intelligence into core business processes. It’s a role for a hands-on technologist who can translate business strategy into scalable analytical capabilities that deliver measurable impact.

Requirements

Bachelor’s or master’s degree in data science, Computer Science, Information Systems, Engineering, or a related field.
7+ years in analytics development, data engineering, or AI/ML solution delivery, with a track record of leading enterprise-level initiatives with measurable impact.
Proficiency in analytics and BI platforms (Power BI, Tableau, Qlik, etc.).
Strong experience with SQL, Python, R, or similar languages.
Hands-on experience with cloud ecosystems (Azure, AWS, GCP) and modern data architectures.

Nice To Haves

Familiarity with machine learning frameworks, LLMs, and AI integration patterns.
Experience with automation tools (Power Automate, UiPath, Automation Anywhere).
Experience in manufacturing, distribution, or industrial environments.
Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.

Responsibilities

Support TERREPOWER’s analytics and AI strategy, identify high-value opportunities for analytics, automation, and AI, and advise leadership on emerging technologies and trends.
Architect dashboards, predictive models, and automated reporting; build and maintain scalable data pipelines and integrations across enterprise systems and cloud platforms; and embed data quality, governance, and security into every workflow.
Design and deploy AI-driven solutions — machine learning models, NLP tools, intelligent agents, and decision-support systems — and build automation frameworks using RPA, low-code platforms, and custom AI-powered tools.
Partner with business units to define requirements and deliver tailored solutions, work with IT, data governance, and cybersecurity teams on deployment and lifecycle management, and run enablement programs that elevate data literacy and AI adoption.
Establish KPIs and success metrics for analytics and AI initiatives, and continuously optimize models, dashboards, and workflows for accuracy, performance, and user experience.