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

Cummins

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 ...

Cummins Inc.

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 ...

Cummins

Data Architect

Indianapolis, IN · On-site +1

$123K - $150K/yr

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

Cummins Inc.

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 ...

Transparent Hiring

$106K - $128K/yr

Familiarity with cloud platforms and modern data tooling Location & working model * Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by Transparent ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Develop applications for a Cloud-based environment and data extraction tools from variety of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Develop applications for a Cloud-based environment and data extraction tools from variety of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Develop applications for a Cloud-based environment and data extraction tools from variety of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Develop applications for a Cloud-based environment and data extraction tools from variety of ... Remote Location: Columbus and various unanticipated locations throughout the US *Annual USD Salary ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Significant experience designing and implementing architecture in cloud-based, modern data ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Experience designing architecture in modern cloud-based data ecosystems, including AWS-based ...

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All JobsRemote Cloud Factory Data Entry JobsRemote Cloud Factory Data Entry Jobs in Indiana

Remote Cloud Factory Data Entry information

What are Remote Cloud Factory Data Entry jobs?

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, and why are they important?

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:
What job categories do people searching Remote Cloud Factory Data Entry jobs in Indiana look for? The top searched job categories for Remote Cloud Factory Data Entry jobs in Indiana are:
Remote Cloud Factory Data Entry jobs near you
Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Posted 21 days ago

Job description

Position Overview 

The Data Analyst / Business Intelligence (BI) Support Specialist - Temporary is responsible for the design, development, implementation, and support of enterprise Business Intelligence (BI) solutions. This position ensures data integrity, security, and performance across BI platforms and provides application support to business units.

Essential Duties and Responsibilities 

  • Develop and maintain BI solutions utilizing Microsoft Fabric, Power BI, and Azure Data Services.
  • Design and implement data models, ETL/ELT pipelines, and visualization dashboards.
  • Build and optimize Power BI reports, dashboards, and paginated reports.
  • Manage Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse for data processing and transformation.
  • Write and optimize T-SQL queries, stored procedures, and indexing in SQL Server (2019+).
  • Provide Level 2/3 support for custom SQL-driven applications, including troubleshooting and user support.
  • Maintain the Alation data catalog, ensuring metadata accuracy and compliance with governance standards.
  • Ensure data governance, security, and compliance, including role-based access control (RBAC) and row-level security (RLS).
  • Collaborate with business stakeholders, developers, and analysts to translate requirements into BI solutions.
  • Monitor BI system performance and implement improvements for reliability and availability.
  • Work with IT Applications and IT Infrastructure teams to implement CI/CD pipelines for BI deployments.
  • Mentor BI team members and promote best practices in analytics development.

Minimum Qualifications 

  • Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • Minimum of 3 years’ experience in Business Intelligence, Data Analytics, or Data Warehousing.
  • Experience with Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse).
  • Advanced proficiency in SQL Server (T-SQL, query optimization, indexing).
  • Proficiency in DAX, Power Query (M language), and Power BI development.
  • Experience with data modeling techniques (Star Schema, Snowflake) and performance optimization.
  • Experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
  • Familiarity with RBAC, RLS, and compliance best practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications 

  • Experience with Azure SQL, DevOps for BI deployments, or Python for data preparation.
  • Familiarity with ITIL and/or ITSM ticketing systems.
  • Ability to present insights to non-technical audiences.

Working Conditions

  • Office environment, Bloomington, IN.
  • Occasional travel may be required.
  • Standard work hours with flexibility for project deadlines.

This full time position is temporary; however, it is expected to potentially have a duration of indefinite. The incumbent will be employed through Express Employment.

Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.

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