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Junior Financial Analyst Python Jobs in Oregon (NOW HIRING)

$85.90K - $108.40K/yr

... Python), and drive remediation with CPMO/OCI owners. * Define and operationalize enterprise ... Ability to lead workstreams, mentor junior analysts, and manage cross-functional collaboration.

OR · On-site

$68K - $113K/yr

Finance & Accounting Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain ... Python, SQL, Microsoft Dataverse (CDS), Power Apps, Power Automate, Databricks, and PowerBI.

OR

$121.40K - $163.30K/yr

The Motley Fool is a purpose-driven financial services company on a mission to make the world ... Strong analytical, problem-solving, and translation skills (turning business goals into reliable ...

Staff Data Analyst, Servicing

OR · On-site +1

$61.90K - $81.90K/yr

Mentor junior team members while fostering a culture of excellence in data and analytics ... in technology and finance industry * Strong background in payments, product, or operations ...

Staff Python Software Engineer

OR · On-site +1

$183K - $212K/yr

Analyze performance bottlenecks and drive measurable improvements. * Collaborate across engineering ... financial, wellness, time off, employee discounts, and others. Find yourself checking a lot of ...

OR · On-site

Able to connect operational reporting and analytics needs to financial outcomes. Project Management ... Solid programming skills with knowledge of Python. Familiarity with Databricks, git and version ...

Familiarity with advanced analytics tools such as SQL, Python, or R. * Prior experience in the ... Accurate and timely financial reporting and forecasts * Clear, actionable insights that support ...

Senior Data Analyst

OR · Remote

$85.90K - $108.40K/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 ...

Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.) * Degree in ... Experience in coaching and mentoring junior team members on technical subjects Position location ...

$130K - $150K/yr

Rigorously analyze operational and financial metrics to detect process deficiencies, performance ... Write Python scripts to perform statistical analysis, automate data pipelines, and integrate ...

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Junior Financial Analyst Python information

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

To thrive as a Junior Financial Analyst Python, you need a solid understanding of finance, basic accounting principles, and proficiency in Python programming, typically supported by a relevant degree such as finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and data visualization libraries like pandas and matplotlib is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present insights clearly. These skills are crucial for accurately analyzing financial data, automating tasks, and supporting informed business decisions.

How does a Junior Financial Analyst who uses Python typically collaborate with other teams within a company?

As a Junior Financial Analyst with Python skills, you will often work closely with finance, accounting, and IT teams. Your main responsibilities may include automating data collection, preparing financial reports, and building analytical models, which require frequent communication to understand data sources and business requirements. Collaboration is essential for ensuring that analytical tools and dashboards meet the needs of stakeholders and that financial insights are accurately conveyed. You may also participate in meetings to discuss project goals, share findings, and provide technical support to colleagues who may not be familiar with Python or data analysis techniques.

What does a Junior Financial Analyst with Python skills do?

A Junior Financial Analyst with Python skills is responsible for supporting financial planning, analysis, and reporting by using Python to automate data collection, clean datasets, and perform financial modeling. They assist senior analysts with forecasting, budgeting, and generating reports, leveraging Python code to increase efficiency and accuracy. This role often involves working with large datasets, creating visualizations, and interpreting financial data to help inform business decisions. Strong analytical skills, attention to detail, and the ability to communicate findings are essential in this position.

What is the difference between Junior Financial Analyst Python vs Junior Data Analyst?

AspectJunior Financial Analyst PythonJunior Data Analyst
Required SkillsFinancial analysis, Python programming, ExcelData analysis, SQL, Excel, basic programming
Work EnvironmentFinance departments, investment firmsBusiness, marketing, tech companies
CertificationsFinancial certifications (e.g., CFA, CPA) often preferredData analysis certifications (e.g., Microsoft Excel, SQL)
Industry UsageFinance, banking, investmentTech, marketing, healthcare

While both roles involve data handling and analysis, Junior Financial Analyst Python focuses on financial data and Python skills within finance environments, whereas Junior Data Analyst has a broader scope across industries with emphasis on data tools and SQL. The choice depends on your industry interest and technical skill focus.

What are popular job titles related to Junior Financial Analyst Python jobs in Oregon? For Junior Financial Analyst Python jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Junior Financial Analyst Python jobs in Oregon look for? The top searched job categories for Junior Financial Analyst Python jobs in Oregon are:
What cities in Oregon are hiring for Junior Financial Analyst Python jobs? Cities in Oregon with the most Junior Financial Analyst Python job openings:
Infographic showing various Junior Financial Analyst Python job openings in Oregon as of May 2026, with employment types broken down into 2% As Needed, 42% Full Time, 54% Part Time, 1% Temporary, and 1% Contract. Highlights an 58% Physical, 4% Hybrid, and 38% Remote job distribution.
Senior Data Analyst

$85.90K - $108.40K/yr

Full-time

Posted 20 days ago


Aptive Environmental rating

5.3

Company rating: 5.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

29th of 31 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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