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Senior Python Data Analysis Jobs in Oregon (NOW HIRING)

$85K - $108K/yr

At a minimum, the Data Analyst, Senior shall possess a master's degree and 10 years of experience ... rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners. * Define and ...

OR

$121K - $163K/yr

Strong experience with asynchronous data retrieval and processing in Python. * Experience with ... Strong analytical, problem-solving, and translation skills (turning business goals into reliable ...

OR

$114K - $137K/yr

Our work directly shapes how companies process massive datasets: real-time analytics platforms ... About the role As a Senior Software Engineer specializing in Python and the Data Ecosystem , you'll ...

Uses data analysis techniques to extract information and identify patterns or trends. * Builds ... Applies basic development skills working with Python, SQL Queries, etc. to extract business ...

Senior Data Engineer

$105K - $150K/yr

SKILLS & COMPETENCIES Coach and mentor the Analytics Engineering team: guiding, planning, and ... Experience building API data ingestion pipeline using Python in cloud service required. Knowledge ...

This role supports enterprise AI activities focused on research portfolio analysis, operational ... Experience with SQL, Python, ETL processes, databases, and analytics/reporting environments.

Senior Data Analyst

Beaverton, OR · On-site

$89K - $112K/yr

... data profiling and analysis of raw and curated data; design data flows to intake financial ... Python programming with libraries such as Spark and Pandas • Familiarity with REST API ...

Applied Data Science & Analytics * Strong proficiency in statistical analysis, A/B experimentation ... Passion for mentoring senior and junior data scientists, fostering technical excellence, and ...

Prioritize data requests and balance quick-turn analysis with long-term scalable reporting. * Train ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

Prioritize data requests and balance quick-turn analysis with long-term scalable reporting. * Train ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

Prioritize data requests and balance quick-turn analysis with long-term scalable reporting. * Train ... Experience with BigQuery, Postgres, dbt, Git, Python, Airflow, AWS, or similar tools. * Experience ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Some development experience in at least one scripting language (Python, R, etc.) is a plus.Strong ...

Senior Data Analyst

OR · On-site +1

$80/hr

... data analysis and lead our engineering and product teams to solve the biggest problems and ... Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API ...

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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 Data Analyst

$85K - $108K/yr

Full-time

Posted 11 days ago


Aptive Environmental rating

5.4

Company rating: 5.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

28th of 32 rated pest control companies


Job description

Job Summary

Aptive seeks a seasoned Senior Data Analyst to serve as a technical lead, transforming complex, large-scale datasets into actionable business insights. The candidate must possess a deep functional expertise on VHA systems, processes, and procedures. At a minimum, the Data Analyst, Senior shall possess a master's degree and 10 years of experience. This role will lead data quality and analytics efforts in support of VA's EHRM Rapid Decision Making program, using an array of data analytics tools and will also lean on NLP / ML capabilities. Expertise for this role will enable data-driven decisions for EHRM deployments, SNOW migration, and patient-safety reporting.

Primary Responsibilities
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing graphs and charts to display what is improving and what is getting worse, and leveraging Natural Language Processing / Machine Learning capabilities to advance modeling, coding and development for the data analytics and insights workstream
  • Present to managers how to best alter their business models to generate profitable future trends.
  • In-depth knowledge of VHA Systems and files, to include, but not limited to: Corporate Data Warehouse (CDW); Veterans Health Information Systems and Technology Architecture (VistA); VHA Support Service Center (VSSC); VHA Reports and Measurement Portal (RAMP); Patient Treatment File (PTF) (MedSAS); Managerial Cost Accounting (MCA) System; Primary Care Management Module (PCMM); The National Patient Care Database (NPCD); Veterans Services Network Corporate Mini Master File (VETSNET File); etc.
  • Obtain data through advanced computerized models; extrapolating data patterns through advanced algorithms; developing simple graphs and charts to display what is improving and what is getting worse.
  • Monitor and validate RMA, ServiceNow, and Power Apps data pipelines; proactively surface anomalies, perform rootcause analysis (SQL/R/Python), and drive remediation with CPMO/OCI owners.
  • Define and operationalize enterprise dataquality rules, thresholds, and KPI scorecards; codify repeatable QC playbooks and automate checks in Power Automate/SQL/Python; publish results in Purview and related governance tools.
  • Lead Tier 0 Tier 1 data stewardship and maintain endtoend lineage/metadata in Purview/Collibra, ensuring accessibility, traceability, and VA/VHA compliance.
  • Certify Tableau/Power BI dashboards and reports against integrity and accessibility standards; coordinate remediation with analytics teams. (Validation/certification-not chart creation-to avoid overlap with bullets 1 & 4.)
  • Embed dataquality gates and validation points in SAFe PI planning, sprint planning, and demos to ensure productionready data.
Minimum Qualifications
  • 10+ years of relevant professional experience in data analysis, data governance, and enterprise reporting (federal healthcare or equivalent large-scale environment preferred).
  • Masters degree.
  • Demonstrated experience supporting large, complex federal agencies; prior VA or DoD experience highly desirable.
  • Advanced expertise in SQL (query optimization, ETL processes), R (statistical modeling, predictive analytics), Python (data wrangling, automation), Tableau and Power BI (dashboard development, performance optimization).
  • Proven experience with data governance tools (e.g., Microsoft Purview, Collibra) and enterprise systems (e.g., ServiceNow, Power Apps).
  • Ability to engage with and present to Executive-level stakeholders, synthesizing complex data into actionable insights.
  • Strong background in data quality management and advanced analytics to support organizational decision-making.
  • Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.
  • Advanced proficiency with Microsoft Office applications (Excel, Word, PowerPoint) including automation and advanced analytics integration.
  • Public Trust clearance eligibility and U.S. work authorization required.
About Aptive

Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation.

We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day.

Founded: 2012Employees: 300+ nationwide

EEO Statement

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class.

Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply.

Employment Type: FULL_TIME

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