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Remote Product Operations Analyst Jobs in Nebraska

Remote-Senior Data Engineer

Lincoln, NE · Remote

$92K - $125K/yr

Remote / Lincoln, Nebraska Job Summary The Senior Data Engineer will serve as the primary technical ... production operations, resolving application defects, and performing routine operational ...

Dillon Product Manager

Omaha, NE · Remote

$80K - $121K/yr

Perform product testing, gathering of relevant experimental data, and data analysis in support of ... Experience with ITW business and products #LI-Remote Compensation Information: $80,800 - $121,200 ...

Use data analytics to identify trends, forecast needs, and drive continuous improvement. * Ensure ... Consistent availability is critical to business operations. * Remote employees must adhere to all ...

Use data analytics to identify trends, forecast needs, and drive continuous improvement. * Ensure ... Consistent availability is critical to business operations. * Remote employees must adhere to all ...

... Product Distribution and Club Strategy, this role combines business development, strategic analysis ... operational efficiency, and Member value. * Serve as the primary intake lead for new alliance and ...

$55K - $65K/yr

Ability to work effectively with developers, support staff, product stakeholders, and other cross ... Ability to manage priorities, meet deadlines, and work independently in a remote team environment.

$85K - $113K/yr

Remote Work Welcome** The DR Analyst supports the development, implementation, and ongoing ... Collaborate cross-functionally (Product, Engineering, Architecture, Business Continuity) to ensure ...

This role is hybrid, 4 days in office, 1 day remote. As a Sales Reporting Consultant you'll move ... A strong understanding of financial services sales desk operations and needs. * Experience building ...

This role will be hybrid or 100% remote if living in the Chattanooga area. . As an Senior Business ... This role reports to the Agile Product Manager for the Workforce Benefits Division and will play an ...

Showing results 41-60

Remote Product Operations Analyst information

What are the key skills and qualifications needed to thrive as a remote product operations analyst, and why are they important?

To thrive as a Remote Product Operations Analyst, you need strong analytical skills, a solid understanding of product lifecycle management, and a relevant degree such as business, operations, or a technical field. Familiarity with tools like SQL, Excel, Jira, and product analytics platforms, as well as experience with workflow automation, is typically required. Exceptional communication, problem-solving abilities, and self-motivation are crucial soft skills for remote collaboration and cross-functional teamwork. These skills ensure efficient product operations, data-driven decision-making, and seamless coordination across distributed teams.

What is a remote product operations analyst?

A Remote Product Operations Analyst is a professional who supports a company's product team by streamlining processes, analyzing product data, and ensuring smooth communication between different departments—all while working remotely. Their main responsibilities include optimizing workflows, identifying areas for improvement, and helping teams implement best practices. They play a crucial role in bridging gaps between product management, engineering, marketing, and customer support to ensure the success of product initiatives. Working remotely, they leverage digital tools and data analytics to monitor performance and provide actionable insights, enabling organizations to deliver better products efficiently.

What is the difference between Remote Product Operations Analyst vs Remote Product Manager?

AspectRemote Product Operations AnalystRemote Product Manager
Required CredentialsBachelor's degree, data analysis skills, familiarity with product toolsBachelor's or higher, strategic planning, leadership skills
Work EnvironmentCollaborates with product teams, focuses on data and process optimizationLeads product development, oversees product lifecycle, cross-functional leadership
Employer & Industry UsageTech companies, e-commerce, SaaS firmsTech, software, digital services, startups
Search & Comparison IntentUnderstanding operational roles supporting product teamsManaging product strategy and roadmap

The main difference is that a Remote Product Operations Analyst focuses on data analysis, process improvements, and supporting product teams, while a Remote Product Manager leads product strategy, development, and cross-functional coordination. Both roles are essential in tech industries but differ in scope and responsibilities.

How does a remote product operations analyst typically collaborate with cross-functional teams while working remotely?

As a Remote Product Operations Analyst, collaboration with cross-functional teams such as product managers, engineers, and customer support is often facilitated through virtual communication tools like Slack, Zoom, and project management platforms. Regular stand-up meetings, asynchronous updates, and shared documentation ensure alignment on project goals and timelines. Building strong relationships and maintaining clear, proactive communication are essential for efficiently coordinating product launches and process improvements in a remote setting.
What are popular job titles related to Remote Product Operations Analyst jobs in Nebraska? For Remote Product Operations Analyst jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Product Operations Analyst jobs in Nebraska look for? The top searched job categories for Remote Product Operations Analyst jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Product Operations Analyst jobs? Cities in Nebraska with the most Remote Product Operations Analyst job openings:

Remote-Senior Data Engineer

INFT Solutions Inc

Lincoln, NE • Remote

$92K - $125K/yr

Contractor

Posted 12 days ago


Job description

Job Title: Senior Data Engineer - 66129

Duration: 12+ Months

Location: Remote / Lincoln, Nebraska 


Job Summary
The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing maintenance, enhancement, operational support, and reliability of Nebraska's enterprise data processing framework supporting Medicaid Encounter Processing and enterprise data ingestion.

This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache Spark, Hive, and Drools and operates on the Cloudera Data Platform (CDP).

Following the State's migration from an Apache open-source Hadoop environment to Cloudera Data Platform, this position will assume primary responsibility for maintaining the production code base, implementing business and regulatory changes, supporting production operations, resolving application defects, and performing routine operational administration of the data processing environment.

This position serves as the single primary technical owner of the application framework and is expected to maintain sufficient expertise across the complete technology stack—including Scala, Apache Spark, Hive, Drools, and the Cloudera Data Platform—to ensure the ongoing reliability, maintainability, and operational continuity of this mission-critical system.

Primary Ownership

· Own the Scala/Spark application framework supporting Medicaid Encounter Processing.

· Own the Drools business rule implementation and ongoing rule maintenance.

· Own enterprise data ingestion processes for master data and source system files.

· Own Spark and Hive batch processing workflows.

· Own production issue investigation and application defect resolution.

· Own production releases, version management, and deployment coordination.

· Own application performance tuning and optimization.

· Own technical documentation, operational procedures, and knowledge transfer.

· Provide basic operational administration and monitoring of the Cloudera Data Platform while coordinating with infrastructure and cloud operations teams.

Required Qualifications

· Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

· Strong hands-on development experience with Scala.

· Experience developing applications using Apache Spark 2.x and/or Spark 3.x.

· Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions.

· Experience with Apache Hive 3.x for data processing and Hive table management.

· Experience implementing business rules using the Drools Rules Engine.

· Strong SQL development and query optimization skills.

· Experience supporting Linux-based production environments.

· Experience troubleshooting distributed Spark applications in production.

· Experience using Git and modern version control practices.

Preferred Qualifications

· Medicaid or healthcare experience.

· Experience with Medicaid Encounter Processing.

· Experience with Cloudera Manager, HDFS, and YARN.

· Experience integrating with IBM DataStage.

· Familiarity with AWS infrastructure supporting Cloudera.

· Experience with Agile, Jira, and Confluence.

Qualifications

 

Type

 

Category

 

Qualification

 

Description

 

Competency

 

Required

   

Skills

 

Architecture

 

Cloudera Data

  

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Distributed Data Processing

 

• Minimum 7 years of experience developing enterprise-scale distributed data processing applications.

 

Advanced (7-9 Years)

 

Yes

  

Skills

 

Others

 

Drools

 

Experience implementing business rules using the Drools Rules Engine

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Scala

 

• Strong hands-on development experience with Scala.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

SQL and Linux

 

• Strong SQL development and query optimization skills • Experience supporting Linux-based production environments

  

Yes

  

Skills

 

Others

 

Apache experience

 

•Experience developing applications using Apache Spark 2.x and/or Spark 3.x. •Experience with Apache Hive 3.x for data processing and Hive table management.

 

Proficient (4-6 Years)

 

Yes

  

Skills

 

Others

 

Cloudera

 

• Experience developing and maintaining applications running on Cloudera Data Platform (CDP) 7.x or equivalent enterprise Hadoop distributions

  

No