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Remote Data Transformation Analyst Jobs in Oregon

... driven analytics for a DoD customer. The primary objective of the program is to bridge the ... The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

... analytics engineers, and Machine Learning practitioners What (ideally) do you know. Domains related to advertising, data privacy, GDPR Data warehousing, data modeling, and data transformation for ...

Senior Data Analyst

OR · On-site +1

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance ... Remote

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models ... Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.

If you're excited to turn analytics into impact and influence meaningful decisions, 360training is ... This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ...

Senior Data Analyst

OR · On-site +1

$80/hr

As a remote-first company, we're focused on providing opportunities for high performing individuals ... A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... and data transformation who can bridge business objectives with innovative technical solutions.

$130K - $150K/yr

This fully remote role will focus on data-driven optimization of our call center operations to ... Advanced T-SQL queries, stored procedures, and data transformations in Microsoft SQL Server.

Senior Data Architect

OR · On-site +1

$67.25 - $90/hr

Develop and optimize complex SQL solutions for large-scale analytical workloads, data transformations, data quality validation, and performance optimization. * Partner with Data Engineering teams to ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

We are seeking a highly skilled and motivated Senior Data Analyst to play a pivotal role in ... A role is remote-eligible only when it is listed as"Remote" in the job location. Skills: Corporate ...

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Trade CoE Analyst

OR · On-site +1

$66K - $89K/yr

US Remote Interested applicants mustresidein one of the following approvedstates:Arizona,California ... As the Trade CoE Analyst, you'll be a catalyst for digital transformation, ensuring our operations ...

For Remote Roles : If this role is remote, there will be in-office events that will require travel ... Partner with data platform engineers to guide datasets through transformation stages, ensuring ...

Experience supporting enterprise AI, analytics, digital transformation, or M&A integration ... Onsite, Hybrid, or Remote depending on location. * Occasional travel may be required to support ...

Lead Process Analyst

OR · On-site +1

$60K - $81K/yr

US (Remote) Interested applicants mustresidein one of the following approvedstates:Arizona ... Perform change impact assessments across people, process, technology, data, and organizational ...

Showing results 21-40

Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

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

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What cities in Oregon are hiring for Remote Data Transformation Analyst jobs?

Cities in Oregon with the most Remote Data Transformation Analyst job openings:

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 8 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 Senior 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 design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • 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
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

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.