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Remote Junior Analytics Engineer Jobs in Nebraska

CSAA

... data analysis, and programming, along with the ability to translate complex findings into clear ... Coach and mentor junior consultants and review modeling work for quality and rigor. * Support ...

Deckers

$96K - $130K/yr

US (Remote) Interested applicants mustresidein one of the following approved states:Arizona ... Your expertise will empower junior developers and stakeholders, and your problem-solving skills ...

New

Harris

Analyze and resolve complex spatial data and software issues to support the stability and ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Harris

Analyze and resolve complex spatial data and software issues to support the stability and ... Demonstrated experience with at least one major programming language (e.g., C++, Python, Java, C#)

Webforge

Electrical Design Engineer

Omaha, NE · On-site +1

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... analyzer, RF communications monitor, Ethernet sniffer, and serial protocol analyzer Basic ...

Webforge

Electrical Design Engineer

Valley, NE · On-site +1

... remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is ... analyzer, RF communications monitor, Ethernet sniffer, and serial protocol analyzer Basic ...

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Remote Junior Analytics Engineer information

What is a remote junior analytics engineer?

A Remote Junior Analytics Engineer is an entry-level professional who works from a remote location to support the design, development, and maintenance of data analytics systems. Their responsibilities typically include building data pipelines, transforming raw data into usable formats, and assisting with the creation of dashboards and reports for business insights. They often work closely with data analysts, data engineers, and business stakeholders to ensure data quality and accessibility. This role is ideal for individuals who have foundational knowledge in data modeling, SQL, and analytics tools and want to gain hands-on experience in the field while working remotely.

What are the key skills and qualifications needed to thrive as a remote junior analytics engineer?

To thrive as a Remote Junior Analytics Engineer, you need strong skills in SQL, data modeling, and basic statistics, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with analytics platforms like dbt, cloud data warehouses (e.g., Snowflake, BigQuery), and version control systems such as Git is expected. Attention to detail, proactive communication, and a willingness to learn are essential soft skills for collaborating remotely and solving data challenges. These competencies ensure that data pipelines are reliable, insights are accurate, and teams can effectively leverage data for decision-making.

How do remote junior analytics engineers typically collaborate with team members and stakeholders given the remote work setting?

Remote Junior Analytics Engineers often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to communicate with data teams, software engineers, and business stakeholders. Regular virtual meetings, code reviews, and status updates help ensure alignment on project goals and data pipeline development. Building strong written communication skills is important, as much of the collaboration happens asynchronously. While remote work offers flexibility, proactively seeking feedback and clarifying expectations are key to success in this role.

What is the difference between Remote Junior Analytics Engineer vs Remote Data Analyst?

AspectRemote Junior Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in Statistics, Math, or related; proficiency in SQL and data visualization tools
Work EnvironmentCollaborates with engineering and data teams; focuses on data pipelines and analytics toolsWorks with business teams; analyzes data to generate reports and insights
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, and retail sectors

Remote Junior Analytics Engineers typically focus on building data infrastructure and pipelines, requiring programming skills, while Data Analysts primarily interpret data to inform business decisions. Both roles often work remotely and require similar educational backgrounds, but their core responsibilities differ.

What are popular job titles related to Remote Junior Analytics Engineer jobs in Nebraska?

For Remote Junior Analytics Engineer jobs in Nebraska, the most frequently searched job titles are:

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The top searched job categories for Remote Junior Analytics Engineer jobs in Nebraska are:

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Cities in Nebraska with the most Remote Junior Analytics Engineer job openings:

Remote Junior Analytics Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Bellevue, NE • Remote

Full-time

Re-posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply