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Junior Data Integration Analyst Jobs in Remote, OR

SOSi

Data Scientist

OR · On-site +1

... integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven ...

SOSi

Data Scientist

OR

... integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven ...

SOSi

Data Scientist

Myrtle Point, OR

... integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven ...

SOSi

Senior Data Scientist

OR

... data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting ...

SOSi

Senior Data Scientist

Myrtle Point, OR

... data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting ...

SOSi

Senior Data Scientist

OR · On-site +1

... data integration, and mission-tailored analytical capabilities. Essential Job Duties: * The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... You will lead complex programs, mentor junior engineers, and influence architectural direction ...

Landis+Gyr

Solutions Integrations Architect

OR

$59 - $77.75/hr

... data integration and workflow design of integration solutions in consultation with analysts, designers, and system owners of vendor application systems. As the subject matter expert, the solutions ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR

$107K - $128K/yr

Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments. * Build ...

Under Armour

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Leverage industry-leading integration and analytics tools to build a modern data warehouse that is accurate, reliable, high performing and easily accessible to our business departments. * Build ...

Lumen Technologies

Software Developer II

OR · Remote

Support event-driven architectures using Kafka for real-time data publishing and system integration. * Contribute to AI and analytics enablement, ensuring data pipelines are AI-ready and aligned with ...

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All JobsData Integration Analyst JobsJunior Data Integration Analyst JobsJunior Data Integration Analyst Jobs in Remote, OR

Junior Data Integration Analyst information

See Remote, OR salary details

$34.5K

$79.3K

$127.4K

How much do junior data integration analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for junior data integration analyst in Remote, OR is $79,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $81,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Junior Data Integration Analyst, and why are they important?

To thrive as a Junior Data Integration Analyst, you need a strong understanding of data management principles, basic SQL proficiency, and typically a bachelor’s degree in computer science, information systems, or a related field. Familiarity with ETL tools (such as Talend or Informatica), data visualization platforms, and database systems is often required. Attention to detail, problem-solving abilities, and effective communication skills help you collaborate with cross-functional teams and resolve data issues efficiently. These skills ensure accurate data integration, support business intelligence efforts, and drive successful data-driven decision-making within organizations.

What are some typical challenges a Junior Data Integration Analyst might face when working on projects with multiple data sources?

As a Junior Data Integration Analyst, one common challenge is managing inconsistencies across diverse data sources, such as differences in data formats, structures, or quality. You may also encounter issues related to data mapping and transformation, which require attention to detail and strong problem-solving skills. Additionally, collaborating with cross-functional teams—like database administrators, developers, and business stakeholders—can present communication challenges, especially when aligning on project requirements and timelines. Overcoming these challenges helps build a strong foundation for career growth in data integration and analytics.

What does a Junior Data Integration Analyst do?

A Junior Data Integration Analyst assists in connecting and consolidating data from different sources so organizations can analyze and use it effectively. They help build and maintain data pipelines, monitor data quality, and troubleshoot integration issues. This role often involves working with databases, ETL (Extract, Transform, Load) tools, and collaborating with IT and business teams to ensure data flows smoothly between systems. Junior analysts also document processes and may support more senior analysts on complex integration projects.
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Junior Data Integration Analyst jobs near you
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 10 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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