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Remote Scale Operator Jobs in Iowa (NOW HIRING)

Mom's Meals

Principal Data Analyst

Ankeny, IA · On-site +1

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Drive adoption of data products to scale data value * Stay current with emerging technologies and ...

Mom\'s Meals

Principal Data Analyst

Ankeny, IA · Remote

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Drive adoption of data products to scale data value * Stay current with emerging technologies and ...

Mom's Meals

Principal Data Analyst

Ankeny, IA · Remote

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Drive adoption of data products to scale data value * Stay current with emerging technologies and ...

Workiva, Inc.

Tax Senior Manager

Ames, IA · On-site +1

... operating with a keen cultural awareness of global nuances. Tax Planning & M&A * Partner with ... Demonstrated ability to work effectively in a remote environment with the requirement of reliable ...

Afni, Inc.

Remote Customer Service Representative

IA · On-site +1

$15.50 - $21.25/hr

What You Need to Thrive in Our Remote Environment: * Cable or Fiber Internet Service only (no dial-up, DSL, satellite or cellular) * 25Mbps Download/10Mbps Upload * Ping Rate - Less than 100 ms * A ...

Gannett Co., Inc.

RAGBRAI Ride Operations

Des Moines, IA · On-site

$45K - $50K/yr

... operating in the United Kingdom, we provide essential journalism, local content, and digital ... The ideal candidate has experience executing large-scale events in high pressure situations that ...

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All JobsRemote Scale Operator JobsRemote Scale Operator Jobs in Iowa

Remote Scale Operator information

What are remote scale operators?

Remote scale operators are professionals who manage and monitor weighing systems, such as truck or industrial scales, from a remote location. They are responsible for ensuring accurate weight measurements, verifying load records, and maintaining communication with drivers and onsite staff. Their work often involves using specialized software and technology to operate scales, log data, and troubleshoot issues. Remote scale operators play a crucial role in industries like logistics, agriculture, and waste management, where accurate weight tracking is essential.

What is the difference between Remote Scale Operator vs Remote Data Entry Clerk?

AspectRemote Scale OperatorRemote Data Entry Clerk
Required CredentialsHigh school diploma, training in weighing systemsHigh school diploma or equivalent, basic computer skills
Work EnvironmentIndustrial or warehouse settings, remotely monitoring scalesOffice or home-based, entering data into systems
Employer & Industry UsageLogistics, manufacturing, transportationAdministrative, healthcare, retail sectors
Common Search & ComparisonRemote Scale Operator vs Remote Data Entry Clerk

The Remote Scale Operator and Remote Data Entry Clerk roles share similarities in working remotely and requiring basic technical skills. However, the Remote Scale Operator focuses on monitoring and managing weighing systems in industrial environments, often requiring specific training. In contrast, the Remote Data Entry Clerk primarily handles data input tasks in administrative settings. Both roles are essential in their industries but serve different operational functions.

What are the key skills and qualifications needed to thrive as a Remote Scale Operator, and why are they important?

To thrive as a Remote Scale Operator, you need attention to detail, basic math skills, and a high school diploma or equivalent. Familiarity with digital scale systems, weighbridge software, and data entry tools is typically required. Strong communication, problem-solving abilities, and reliability help you excel in coordinating with drivers and ensuring accurate records. These skills are crucial for maintaining operational efficiency, regulatory compliance, and accurate transactions in industries like logistics and waste management.

What job makes $10,000 a month without a degree?

A remote scale operator typically does not earn $10,000 a month without specialized skills or experience. High-paying jobs that can reach this level often involve sales, entrepreneurship, or technical roles such as software development or digital marketing, which may require self-education or certifications rather than formal degrees.

What are some common challenges faced by Remote Scale Operators and how can they be effectively managed?

Remote Scale Operators often face challenges such as maintaining accuracy while managing multiple simultaneous tasks, troubleshooting remote technology issues, and communicating effectively with on-site personnel. Staying organized and using digital tools to track loads and weights can help minimize errors. Establishing clear communication protocols with drivers and facility staff ensures smooth operations, and being proactive about regular system checks can reduce downtime from technical glitches. Continuous learning and adaptability are key to handling the fast-paced and sometimes unpredictable nature of the role.

How can I make 2000 a week working from home?

A remote scale operator can potentially earn $2000 a week by working multiple shifts, increasing hourly rates through specialized skills, or taking on high-volume projects. Building experience, gaining relevant certifications, and utilizing efficient tools can help maximize earnings in this role.

What jobs pay 2000 a day?

Remote scale operators typically do not earn $2000 a day; such high daily earnings are more common in specialized fields like high-level consulting, executive roles, or certain sales positions. Most jobs with daily pay of this level require extensive experience, advanced skills, or ownership of a business. Freelance consulting, investment banking, or executive management roles are examples where such earnings are possible.

What remote jobs pay 25 an hour?

Remote scale operator roles typically pay around $25 an hour, especially for positions requiring technical skills, equipment operation, and attention to detail. These jobs often involve monitoring and managing equipment or systems remotely, with some roles requiring certifications or experience in logistics or technology environments.
What are popular job titles related to Remote Scale Operator jobs in Iowa? For Remote Scale Operator jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Scale Operator jobs in Iowa look for? The top searched job categories for Remote Scale Operator jobs in Iowa are:
What cities in Iowa are hiring for Remote Scale Operator jobs? Cities in Iowa with the most Remote Scale Operator job openings:
Remote Scale Operator jobs near you
Infographic showing various Remote Scale Operator job openings in Iowa as of June 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Mom's Meals rating

6.2

Company rating: 6.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

13th of 22 rated food delivery companies

Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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