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Remote Data Analyst Python Jobs in Oregon (NOW HIRING)

PlayStation Global

Senior Product Analyst

OR · On-site +1

Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau ...

BetterHelp

Staff Data Scientist, Marketing Inference

OR · On-site +1

Expertise in using tools like R and Python for data analysis * Proven success supporting or making ... Remote work with regular in-person bonding experiences sponsored by the company * Competitive ...

SOSi

Senior Data Scientist

OR · On-site +1

... Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics. * Experience with Databricks, Apache Spark, or ...

Instacart

Senior Data Scientist

OR · On-site +1

Own analytical frameworks that guide the product roadmap. * Design rigorous experiments and ... Ability to write efficient and eloquent code in Python or R. * A desire to build and improve ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

... analytics, and business decision-making across Fieldwire. You will work closely with Data Insights ... This is a fully remote role based in the United States. What you'll be doing The primary ...

Exol

Senior Analyst, Network Optimization

OR · On-site +1

$87K - $116K/yr

Strong Python coding skills and experience with data visualization tools (e.g., Tableau, Power BI ... Remote About Exol Exol provides flexible and scalable outsourced warehouse services to meet the ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Create and refine predictive models (Bayesian inference, regression analysis, time-series ... Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc ...

Care Access

Enterprise Performance Analytics Engineer

OR · On-site +1

$80K - $110K/yr

Minimum Experience: * 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together * Location : Remote within the United ...

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... Address customer data handling, tenant isolation, auditability, observability, and secure ...

360training

Data Architect Manager

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ... Python) and comfortable working with SQL You enjoy helping teams push the boundaries of analytical ...

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Remote Data Analyst Python information

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What are popular job titles related to Remote Data Analyst Python jobs in Oregon?

For Remote Data Analyst Python jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Python jobs in Oregon look for?

The top searched job categories for Remote Data Analyst Python jobs in Oregon are:

Remote Data Analyst Python jobs near you

Senior Product Analyst

PlayStation Global

OR • On-site, Remote

Full-time

Re-posted 4 days ago

Job description

Senior Product AnalystSan Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab)

Sony Interactive Entertainment LLC is seeking an Analyst, Product Analytics in California to join our team and contribute to the exciting future of the PlayStation platform. This role involves close collaboration with product feature teams and data partners to ensure effective data utilization and measurement methodologies for data-driven insights and decision-making. The Analyst will oversee end-to-end product analytics projects, including data exploration, KPI design, target setting, measurement planning, and impact assessment.

Responsibilities

  • Work closely with product feature teams to understand their roadmap and translate initiative goals into data KPIs, targets, and measurement plans.

  • Extract and integrate data from various sources to support analytical efforts, coordinating with data product, engineering, data science, and other analytics teams as needed.

  • Lead A/B test experiments, validate test data, monitor progress, perform post-test analysis, and provide recommendations for feature release decisions, collaborating with the experimentation platform team as necessary.

  • Convert business questions into data analytics tasks, conduct thorough analyses to segment and explore data, identify key drivers, and generate actionable insights to inform business decisions.

  • Collaborate with data scientists on research and innovation, applying standardized processes and enhancing analytics methodologies as they become available. Contribute to the development and use of digital tools, reporting visualization, and analytical storytelling.

  • Work with the reporting team to define and create automated and self-serve dashboards, providing relevant information efficiently to optimize business operations and track key initiatives.

Qualifications

  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Business, Economics, or a related field, with 3+ years of relevant professional experience in data analysis. A related Master's Degree is a plus.

  • Experience working with product, business, or other partner teams, including conducting experiments and supporting optimization efforts such as A/B testing, holdout groups, and multivariate analysis is a must. Familiarity with quasi-experimental causal inference methodologies is a plus.

  • Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience with user journey tools (e.g., Adobe Analytics) and standard BI tools (e.g., MicroStrategy, Tableau, Domo) is highly preferred. 

  • Strong understanding of statistical concepts (e.g., confidence intervals, hypothesis testing) and analytic modeling techniques (e.g., multivariate/linear regression, k-means clustering) is preferred.

  • Excellent written and verbal communication skills, with experience presenting analytical results to non-technical partners.

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