Hybrid BI Analyst | AI & ML Insights for Growth

Innovatesphere; Fort Smith (AR); Hybrid; USD 40,000 - 64,000; Full time

Job summary

InnovateSphere is seeking a hybrid Business Intelligence Analyst in Fort Smith, AR. The role focuses on turning data into decisions, driving ML-driven insights, and delivering self-service tools to reduce ticket volume.

Candidates should have 1+ years in BI and strong communication skills. Join a curious engineering shop that treats Scikit-learn and Deep Learning as related disciplines; you’ll grow with a mentor, benefit from flexible hours, and contribute to measurable ML performance

Qualifications

• Storytelling instincts that turn data into a decision.
• Comfort being the newest person in the room and the loudest in the notes.
• Roughly 1+ years operating in a similar Business Intelligence Analyst position.
• Real prioritization chops, plus the MLflow curiosity to keep growing.
• Self-direction that survives a quiet Slack channel.
• Demonstrated wins in technology work somewhere near Fort Smith, AR.
• Excellent written and verbal communication skills.

Responsibilities

• Drive the Deep Learning incident postmortem that stops the Fort Smith outage from recurring.
• Lead technical design reviews for junior technology initiatives.
• Build Empathy self-service tools so Fort Smith teams stop filing tickets for everything.
• Land MLflow performance wins InnovateSphere can measure in AR retention numbers.
• Spike a Deep Learning proof of concept fast when InnovateSphere needs a yes-or-no answer.

Skills

Storytelling

Communication

Adaptability

Prioritization

MLflow curiosity

Tools

MLflow

Scikit-learn

BI tools

Job description

InnovateSphere is seeking a hybrid Business Intelligence Analyst in Fort Smith, AR. The role focuses on turning data into decisions, driving ML-driven insights, and delivering self-service tools to reduce ticket volume.

Candidates should have 1+ years in BI and strong communication skills. Join a curious engineering shop that treats Scikit-learn and Deep Learning as related disciplines; you’ll grow with a mentor, benefit from flexible hours, and contribute to measurable ML performance