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Senior Python Data Analysis Jobs in Oregon (NOW HIRING)

PlayStation Global

OR

Senior Product Analyst San Mateo, CA; Los Angeles, CA; or San Diego, CA (Collab) Sony Interactive ... Relevant experience in data analysis with advanced SQL, Python/ R skills is required; Experience ...

Formfactor

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

... Python, SQL and similar. Key Responsibilities: Financial Analytics Development * Partner with ... Corporate Finance, Data Analysis, Developing Financial Models, Financial Reporting and Analysis ...

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Senior Business & Data Analyst

OR · Remote

$100K - $125K/yr

About the Role We are looking for a Senior Business and Data Analyst who wants to help build ... Conduct advanced data analysis, mining, and trend identification to surface meaningful business ...

Instacart

Senior Data Analyst

OR · Remote

$85K - $108K/yr

Leverage AI & Next-Generation Analytics - Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and ...

Legacy Health

Sr Analyst Population Health

Portland, OR · On-site

$52.39/hr

Data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based ... Preferred experience in other languages, including Python and/or R. Experience working in health ...

Point C

OR · On-site

Currently a Senior or Graduate student enrolled in a degree program in Health Informatics, Nursing ... Experience with Python, R, or other data analysis languages is a plus * Prior exposure to ...

AcuityMD

OR · On-site

$55.75 - $73.75/hr

Own the full model lifecycle: exploratory analysis, baseline modeling, experimentation, validation ... You are fluent in Python's data and ML stack and opinionated about your preferred approaches ...

Under Armour, Inc.

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

Lead root-cause analysis and long-term fixes for complex data issues. Leadership & Collaboration ... Advanced Python for automation, orchestration, and engineering workflows. * Working knowledge of ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Oregon? The most popular types of Python Data Analysis jobs in Oregon are:
What are popular job titles related to Senior Python Data Analysis jobs in Oregon? For Senior Python Data Analysis jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Oregon look for? The top searched job categories for Senior Python Data Analysis jobs in Oregon are:
Senior Python Data Analysis jobs near you

Data Scientist

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

Contractor

Re-posted 7 days ago

Job description


Looking for a Data Scientist with focus on research and analysis. Must be able to work with ambiguity of data. This role will be business facing, performing some data flow modeling optimization, coming up with recommendations for increased efficiency for various business groups.
Requirements
Prior data analysis experience, flow modeling experience. Overall 2+ years of experience in Data Science. SQL, scripting, linear programming are required.
Skill Set
Data analysis, SQL, Python, scripting

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