Junior Operations Analyst

Junior Operations Analyst

Location: remote (60-75% client-site travel) | Full Time

At Implementation Engineers, we don’t just advise -- we implement.
You’ll work on real factory floors, solve complex problems,
and see your solutions stick in productivity, quality, and cost performance.

What you’ll do

• Dive into manufacturing operations, analyze problems, and implement fixes that move the needle.
• Build dashboards and models to turn shop-floor data into decisions (Power BI/Excel/SQL/Python).
• Collaborate with experienced engineers and client teams; document results and standardize wins.
• Travel to client sites across the U.S. to work hands-on with operations.

Who you are

• Problem-solver with strong analytical chops and a bias for action.
• Clear communicator who’s comfortable on the shop floor and with executives.
• Curious, coachable, and energized by fast-moving environments.
• Willing to travel frequently (week-to-week variability; expect significant on-site work).

Qualifications

• Education: BS/MS in Mechanical, Industrial, Manufacturing, Chemical, Computer/Software (AI/ML/Data), or related engineering field.
• Experience: 0–5 years; 1–5 years in manufacturing preferred (internships/co-ops count).
• Tools: Power BI (or Tableau), Excel, basic SQL; Python a plus (required for AI/Data track).

Choose your path (we’ll place you where you’ll thrive)

Supply Chain

• Interests/skills: material flow, PFEP, inventory optimization, planning/SIOP, logistics, line balancing.
• Familiarity with ERP/MRP (SAP/Oracle/other) and shop-floor data.
• Deliverables: value stream maps, PFEP builds, inventory and throughput models, line-side kit/route designs.

Maintenance & Asset Performance Engineering (APE)

• Interests/skills: RCA/5 Whys/FMEA, reliability basics, TPM, PdM/CBM, CMMS exposure.
• Comfort with time-series data from sensors; translating findings into maintenance plans.
• Deliverables: PM/PdM routes, failure analyses, loss trees, criticality rankings, uptime/MTBF improvements.

AI / Data Science for Industry 4.0

• Skills: Python, data wrangling, time-series/ML basics; bonus for LLM/RAG/OpenAI API experience.
• Comfort building small data pipelines and lightweight models tied to shop-floor outcomes.
• Deliverables: clean datasets, diagnostic models, copilots/assistants, and BI integrations that operators actually use.

Nice-to-haves (any track)

• Lean/CI exposure (5S, Kaizen, standard work), SPC/statistics, simulation, basic scripting.
• Power BI DAX, SQL joins/windows, Git, Jupyter; vibration/IR/ultrasound basics.
• Strong presentation skills; turning analyses into crisp operator playbooks.

What you’ll get

• Accelerated learning with senior mentors and diverse plants/industries.
• Visible impact—your work changes how factories run.
• A collaborative, no-ego culture that values curiosity and results.