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Hourly Data Analytics Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR · On-site

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 ...

ICI Services

... Data Scientist to Join our Team in a Remote capacity. At ICI Services, our employee-owners drive ... Our diverse team of acquisition experts, financial analysts, engineers, logisticians, IT ...

Procom Services

211854 / Data Analyst

Hillsboro, OR · On-site

Analysis of data to find patterns * Development of applications for data gathering and analysis * Developing related business processes * Establishing performance indicators * Writing procedures and ...

Bluesight

Associate Data Analyst

OR · On-site +1

$55K - $65K/yr

We're seeking a Data Integration Analyst to support the successful implementation of Bluesight's SaaS products for our hospital customers. This role is ideal for someone who combines a customerfirst ...

Hoffman Construction

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends. * Build and evaluate basic predictive models using machine learning algorithms. * Create ...

Hoffman-Construction

Data Scientist 1

Portland, OR · On-site

$85 - $120/hr

Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends. Build and evaluate basic predictive models using machine learning algorithms. Create visualizations ...

Hoffman Equipment Yard

Data Scientist 1

Portland, OR

$90K - $110K/yr

Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends. * Build and evaluate basic predictive models using machine learning algorithms. * Create ...

Hoffman Construction Company

Data Scientist 1

Portland, OR · On-site

$70 - $100/hr

Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends. Build and evaluate basic predictive models using machine learning algorithms. Create visualizations ...

Elite eXceed

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $130/hr

Design and implement features in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology * Proactively support product health ...

Aflac, Incorporated

Sr Data Analyst

$70K - $105K/yr

Bachelor's Degree in Analytics, Computer Science or a related field. * 2+ years of job-related ... data to benchmarking/best practice data, identifies significant business issues, trends and ...

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Hourly Data Analytics information

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

What are the key skills and qualifications needed to thrive as an hourly data analyst, and why are they important?

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Oregon?

The most popular types of Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Hourly Data Analytics jobs?

Cities in Oregon with the most Hourly Data Analytics job openings:

Hourly Data Analytics jobs near you

Data Scientist

SOSi

OR • On-site

Full-time

Re-posted 22 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.