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Remote Supply Chain Data Analyst Jobs in Springfield, MO

micro1 AI

In-house Counsel

Springfield, MO · Remote

$90 - $130/hr

Remote Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

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Remote Supply Chain Data Analyst information

See Springfield, MO salary details

$33.7K

$67.7K

$113.2K

How much do remote supply chain data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote supply chain data analyst in Springfield, MO is $67,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $76,000.00 per year, depending on experience, location, and employer.

What is a remote supply chain data analyst?

A Remote Supply Chain Data Analyst is a professional who works off-site to collect, analyze, and interpret data related to a company's supply chain operations. Their main goal is to optimize processes such as procurement, inventory management, and logistics by providing actionable insights based on data trends and performance metrics. They use specialized software and analytical techniques to identify inefficiencies, forecast demand, and help improve supply chain performance. The remote aspect of the role means that all tasks are performed from a location outside the traditional office, often requiring strong communication and collaboration skills to work effectively with distributed teams.

What are the key skills and qualifications needed to thrive as a remote supply chain data analyst?

To thrive as a Remote Supply Chain Data Analyst, you need strong analytical skills, supply chain knowledge, and a background in data analysis or a related field such as business, statistics, or engineering. Familiarity with data visualization tools (like Tableau or Power BI), advanced Excel skills, and experience with ERP systems or SQL are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting data and collaborating with cross-functional teams remotely. These skills and qualities enable accurate data-driven decisions that optimize supply chain efficiency and business outcomes.

What are some common challenges faced by remote supply chain data analysts, and how can they be effectively managed?

Remote Supply Chain Data Analysts often face challenges such as coordinating with cross-functional teams across different time zones, ensuring data accuracy from multiple sources, and maintaining clear communication despite the lack of in-person interaction. To effectively manage these challenges, it’s important to establish regular check-ins, use collaborative project management tools, and set clear data validation protocols. Building strong virtual relationships with stakeholders and proactively addressing discrepancies will also help ensure smooth workflow and data-driven decision-making.

What is the difference between Remote Supply Chain Data Analyst vs Remote Logistics Coordinator?

AspectRemote Supply Chain Data AnalystRemote Logistics Coordinator
CredentialsBachelor's in Supply Chain, Data Analytics, or related field; proficiency in data toolsBachelor's in Logistics, Business, or related field; strong organizational skills
Work EnvironmentPrimarily data analysis, reporting, and forecasting tasksCoordination of shipments, tracking, and communication with vendors
Industry UsageUsed across manufacturing, retail, and e-commerce sectorsCommon in transportation, warehousing, and distribution industries
Search & Comparison IntentFocus on data analysis roles within supply chainFocus on logistics and shipment coordination roles

The Remote Supply Chain Data Analyst primarily focuses on analyzing supply chain data to optimize processes, while the Remote Logistics Coordinator manages shipment coordination and vendor communication. Both roles are essential in supply chain operations but differ in their core responsibilities and skill sets.

What are popular job titles related to Remote Supply Chain Data Analyst jobs in Springfield, MO?

For Remote Supply Chain Data Analyst jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Supply Chain Data Analyst jobs in Springfield, MO look for?

The top searched job categories for Remote Supply Chain Data Analyst jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Supply Chain Data Analyst jobs?

Cities near Springfield, MO with the most Remote Supply Chain Data Analyst job openings:

Remote Supply Chain Data Analyst jobs near you

In-house Counsel

micro1 AI

Springfield, MO • Remote

$90 - $130/hr

Part-time

Posted 12 days ago

Job description

Job Title: Transactional Attorney


Job Type: Contractor


Location: Remote


Job Summary: We are seeking seasoned in-house transactional attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep experience with drafting, reviewing, negotiating, and redlining within the tech field.


In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify risk and interpret contract language to create tools with improved precision and legal judgment.



Key Responsibilities:

  1. Perform simulated contract negotiations and redlining exercises.
  2. Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision.
  3. Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency.
  4. Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions.


Required Skills and Qualifications:

  1. Minimum of 3 years of in-house experience focused on technology transactions, particularly negotiating MSAs, NDAs, and DPAs.
  2. Exceptional written and verbal communication skills with meticulous attention to detail.
  3. Strong analytical capabilities and ability to translate legal expertise into actionable feedback for AI systems.
  4. Demonstrated commitment to innovation at the intersection of law and technology.
  5. Experience working with cross-disciplinary teams in fast-paced environments.


Preferred Qualifications:

  1. Prior exposure to AI, legal tech, or training initiatives.
  2. Experience at a corporate law firm in either M&A or fund formation for private equity firms.


Why Join:

  1. This is an opportunity to work at the intersection of law and technology.
  2. You will help define how AI is developed for a new generation of legal practitioners.
  3. You will apply your experience in a high-impact research environment.


Compensation Structure:

Compensation is task-based; experts are paid per task that meets the project specifications. The effective hourly rate is based on the average handling time (AHT) of the tasks and may vary by specific task.

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