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Remote Cloud Factory Data Entry Jobs in Indiana (NOW HIRING)

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ... Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration with ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ... Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration with ...

Data Architect

Indianapolis, IN · Remote

$61 - $78.50/hr

Develop and manage large-scale data storage solutions using distributed and cloud platforms (e.g ... Factory orchestration, KQLbased RealTime Analytics, semantic model creation, and integration with ...

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Fluency in establishing enterprise data governance and migration factory models aligned to program ...

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Fluency in establishing enterprise data governance and migration factory models aligned to program ...

SAP Data Solution Architect

Indianapolis, IN · Remote

$78.50 - $105.75/hr

... remote basis. In this role, you will make an impact in the following ways: * Define system ... Fluency in establishing enterprise data governance and migration factory models aligned to program ...

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... cloud-based data platforms (Azure preferred). - Understanding of data quality, reliability, and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

... cloud-based data platforms (Azure preferred). - Understanding of data quality, reliability, and ... Fully Remote Opportunity * Healthcare Benefits and 401K * Growing Startup Culture

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Remote Cloud Factory Data Entry information

What is a Remote Cloud Factory Data Entry?

Remote Cloud Factory Data Entry jobs involve entering, updating, and managing data for companies using cloud-based platforms, all while working from a remote location. These roles typically require attention to detail, proficiency with spreadsheets and online databases, and the ability to follow instructions accurately. Employees may work with a variety of data types, including sales information, customer records, or inventory lists, depending on the specific needs of the employer. The 'cloud factory' aspect refers to the use of cloud computing tools that enable collaboration and secure data storage. These jobs offer flexibility and the opportunity to work from anywhere with a reliable internet connection.

What are some typical challenges faced by Remote Cloud Factory Data Entry professionals, and how can they be managed?

Remote Cloud Factory Data Entry professionals often encounter challenges such as maintaining focus during repetitive tasks, ensuring data accuracy, and managing communication with distributed teams. To overcome these, it’s helpful to establish a structured daily routine, use productivity tools to minimize errors, and participate in regular check-ins with team leads. Additionally, staying updated on cloud-based data entry platforms and following company protocols for data security can make the workflow smoother and more efficient.

What is the difference between Remote Cloud Factory Data Entry vs Remote Data Processing Specialist?

AspectRemote Cloud Factory Data EntryRemote Data Processing Specialist
CredentialsBasic data entry skills, familiarity with cloud platformsData analysis, processing skills, possibly some technical certifications
Work EnvironmentCloud-based platforms, remote setupRemote or cloud-based data processing tools
Industry UsageManufacturing, logistics, cloud data servicesData analysis, IT, cloud services
Search/Comparison IntentJob roles involving data entry in cloud environmentsRoles focused on processing and analyzing data remotely

Remote Cloud Factory Data Entry primarily involves inputting data into cloud-based systems within manufacturing or logistics sectors. In contrast, Remote Data Processing Specialist focuses on analyzing and processing data remotely, often requiring more technical skills. Both roles are remote and utilize cloud tools, but they differ in complexity and focus.

What are the key skills and qualifications needed to thrive as a Remote Cloud Factory Data Entry specialist?

To thrive as a Remote Cloud Factory Data Entry specialist, you need strong typing skills, attention to detail, and proficiency in data management, often supported by a high school diploma or equivalent. Familiarity with cloud-based platforms, spreadsheets, and data entry software is typically required. Excellent time management, reliability, and clear communication are crucial soft skills for remote collaboration and meeting deadlines. These skills ensure data accuracy and efficiency, which are essential for maintaining high-quality operations in a virtual work environment.

What are the most commonly searched types of Cloud Factory Data Entry jobs in Indiana?

The most popular types of Cloud Factory Data Entry jobs in Indiana are:

What are popular job titles related to Remote Cloud Factory Data Entry jobs in Indiana?

For Remote Cloud Factory Data Entry jobs in Indiana, the most frequently searched job titles are:

Data Entry Operator (Contract)

Blue Star Partners LLC

Merrillville, IN • Remote

$18 - $24/hr

Full-time

Re-posted 18 days ago


Job description

Job Title: Data Entry Operator
Location: Merrillville, IN
Work Model: Hybrid - Tuesday through Thursday onsite, Monday and Friday remote
Rate: $18-$24/hour
Contract Length: 1 year, with possibility of extension
Contract Term: August 10, 2026 - August 9, 2027
Employment Type: W-2 Only
Work Authorization: U.S. Citizens Only | Green Card holders also eligible; no visa sponsorship available

Position Overview

We are seeking a detail-oriented Data Entry Operator to support intermediate to advanced data entry, data cleanup, record maintenance, and reporting activities across multiple systems. This role will be responsible for accurately entering, validating, organizing, and maintaining alpha/numeric data while handling confidential and sensitive information with care.

The ideal candidate is highly accurate, organized, and comfortable managing multiple priorities in a fast-paced environment. This person should have strong Excel skills, good mathematical ability, experience working with structured data, and the ability to proof work carefully for accuracy and completeness. The role also requires a team-oriented individual who communicates well, accepts feedback constructively, and contributes to shared team goals.

Key ResponsibilitiesData Entry & Data Maintenance
  • Perform intermediate to advanced data entry duties across various systems.
  • Input alpha/numeric data accurately and efficiently.
  • Support multiple data entry tasks, data cleanup activities, and record updates.
  • Maintain accurate records, tracking reports, and documentation.
  • Proof completed work for accuracy, completeness, and consistency.
  • Correct errors identified through visual inspection or quality review.
Excel, Reporting & Data Organization
  • Use Excel to filter, sort, create, update, and manage columns and datasets.
  • Perform accurate data entry within spreadsheets and system-based records.
  • Generate reports based on inputted data and completed work.
  • Support basic data analysis, tracking, and reconciliation activities as needed.
  • Use basic formulas and functions where applicable.
  • Prioritize work by coding, sorting, organizing, and processing assigned tasks.
Quality Control & Accuracy
  • Review data for errors, inconsistencies, missing information, and formatting issues.
  • Ensure work meets established accuracy and completeness standards.
  • Follow established guidelines, procedures, and policies when making corrections or recommendations.
  • Maintain strong attention to detail while managing multiple assignments and shifting priorities.
Confidential Information Handling
  • Manage confidential and sensitive information in accordance with company policies.
  • Maintain discretion and professionalism when working with employee, customer, operational, or business-related data.
  • Ensure records are handled, stored, and updated appropriately.
Team Support & Process Guidance
  • Collaborate with team members to complete data entry, cleanup, and reporting tasks.
  • Provide guidance to staff once fully trained and familiar with the work.
  • Share process knowledge, best practices, and task-specific support as needed.
  • Remain open to feedback and apply coaching to improve accuracy, quality, and efficiency.
Equipment & Processing Support
  • Use a 10-key adding machine to support data entry and item processing activities.
  • Make simple mechanical adjustments as needed, such as switching sets and changing control features.
  • Support item processing tasks that require accuracy, speed, and attention to detail.
Day-to-Day Responsibilities
  • Enter alpha/numeric data into assigned systems and spreadsheets.
  • Review and proof data for accuracy and completeness.
  • Filter, sort, organize, and update Excel files.
  • Correct errors identified during visual inspection or quality checks.
  • Maintain tracking logs, reports, and records.
  • Generate reports based on inputted data.
  • Support data cleanup efforts across multiple systems.
  • Handle confidential and sensitive information appropriately.
  • Coordinate with team members and respond to feedback or corrections.
  • Prioritize daily work based on assigned tasks, deadlines, and processing needs.
Required Qualifications
  • High school diploma required; post-secondary education preferred.
  • 4-6 years of data entry, administrative, records management, item processing, or related experience.
  • Intermediate to advanced data entry experience.
  • Ability to accurately input alpha/numeric data.
  • Ability to key approximately 10,000 keystrokes per hour.
  • Strong Excel skills, including the ability to filter, sort, create and manage columns, and enter data accurately.
  • Familiarity with basic Excel formulas and functions is a plus.
  • Ability to use a 10-key adding machine.
  • Good mathematical ability.
  • Good item processing skills.
  • Ability to proof work carefully for accuracy and completeness.
  • Ability to maintain accurate records and tracking reports.
  • Ability to manage multiple tasks and shifting priorities while maintaining high accuracy.
  • Strong attention to detail, organization, and follow-through.
  • Ability to work effectively in a team environment and remain receptive to feedback.
Preferred Qualifications
  • Experience with Microsoft Access.
  • Experience supporting data cleanup across multiple systems.
  • Experience working with confidential or sensitive information.
  • Experience generating reports from entered or maintained data.
  • Experience in a utility, energy, corporate services, finance, operations, or administrative support environment.
  • Familiarity with structured processing workflows, coding, sorting, and records tracking.
Core Competencies
  • Data Entry
  • Data Accuracy
  • Excel
  • 10-Key Data Entry
  • Record Maintenance
  • Data Cleanup
  • Reporting
  • Confidential Information Handling
  • Quality Control
  • Item Processing
  • Attention to Detail
  • Team Collaboration
  • Prioritization
  • Administrative Support
Ideal Candidate Profile

The ideal candidate is a precise, dependable, and team-oriented data entry professional who can manage multiple assignments while maintaining strong accuracy and attention to detail. They should be comfortable working with Excel, entering high-volume alpha/numeric data, reviewing work for errors, handling confidential information, and adapting to feedback. This person should be organized, collaborative, and able to maintain quality standards while working across multiple systems and priorities.