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Executive Python Financial Jobs (NOW HIRING)

Pavago

Financial & Data Analyst

Python or R for data analysis * Experience with ERP systems: * NetSuite * SAP * Oracle * Industry experience: * SaaS * Finance * Healthcare * Experience building executive dashboards What a Typical ...

Ceridian

Principal Financial Analyst

Minneapolis, MN · On-site

$109K - $127K/yr

Leverage Python for automation, data transformation, and integration of basic AI/ML models within ... executive reporting consistency. *Position permits telecommuting from anywhere in the U.S.

Focus Financial Partners

Senior Associate, FP&A

Boston, MA · Hybrid

$90K - $110K/yr

... executive-ready reporting, and actionable business recommendations. The Senior Associate will ... Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar ...

SCS Financial

Senior Associate, FP&A

Boston, MA · On-site

$90K - $110K/yr

... executive-ready reporting, and actionable business recommendations. The Senior Associate will ... Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar ...

kinetik

Financial Systems & Analytics Analyst

Houston, TX

$82K - $111K/yr

... Python, SQL). Success in this role requires understanding the finance and accounting logic behind ... This position carries an unusual degree of responsibility and executive visibility for an early ...

Anaconda

Sr. Executive Assistant

... Python, data science, and AI and the enterprise-ready solution of choice for AI innovation ... a technology, financial services, or professional services environment. * 2+ years managing ...

HONK

FP&A Manager

Chicago, IL · On-site

$150K - $175K/yr

Partner directly with ops, sales, and the exec team as the finance co-pilot. Not a back-office scorekeeper. * Automate the reporting grind (Looker / Excel / Python) so your time goes to insight, not ...

HONK

FP&A Manager

Chicago, IL · On-site

$150K - $175K/yr

Partner directly with ops, sales, and the exec team as the finance co-pilot. Not a back-office scorekeeper. * Automate the reporting grind (Looker / Excel / Python) so your time goes to insight, not ...

Belmont Village

Financial Planning Analyst

Houston, TX · On-site

Partnering closely with executive leadership, you'll transform complex data into actionable ... Python, VBA, or other analytics tools is a plus Similar Backgrounds May Include FP&A Analyst, Real ...

Focus Financial Partners

Senior Associate, FP&A

Boston, MA · On-site

$90K - $110K/yr

... executive-ready reporting, and actionable business recommendations. The Senior Associate will ... Advanced Excel and SQL skills required; experience with Power BI, Python, Power Query, or similar ...

Envent Corporation

Sr. Financial Analyst

La Porte, TX · On-site

$80K - $100K/yr

Build and distribute the executive financial package: P&L by division, balance sheet trends, KPI ... Python or Snowflake * Excel VBA / Macros * CPA or MBA * Salesforce contracts & library functions

netPolarity

Financial Analyst

San Jose, CA · On-site

$70 - $78/hr

... clear executive insights Business & Commercial Support • Support quarter-end close, weekly ... Python, or similar) • Experience in high-tech / software industry environments • Exposure to ...

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How much do executive python financial jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for executive python financial in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

What cities are hiring for Executive Python Financial jobs? Cities with the most Executive Python Financial job openings:
What are the most commonly searched types of Python Financial jobs? The most popular types of Python Financial jobs are:
What states have the most Executive Python Financial jobs? States with the most job openings for Executive Python Financial jobs include:
Executive Python Financial jobs near you

Financial & Data Analyst

Pavago

Remote

Full-time

Re-posted 23 days ago

Job description

Financial Analyst / Data Analyst - Remote SQL, Excel, BI Tools U.S. Hours
Position Type: Full-Time, Remote
Working Hours: U.S. Client Business Hours
About the Role
We're hiring a Financial Analyst / Data Analyst to turn complex data into clear, actionable insights that drive business decisions.
This role sits at the intersection of finance, data, and strategy - you'll build models, analyze performance, and create dashboards that leadership relies on daily.
If you're someone who can connect numbers to real business impact, this is where you thrive.
What You'll Own
Financial Modeling & Analysis
  • Build and maintain 3-statement financial models (P&L, Balance Sheet, Cash Flow)
  • Perform scenario analysis, sensitivity modeling, and forecasting
  • Analyze ROI, IRR, break-even points, and investment performance
  • Support strategic decision-making with data-backed financial insights

Data Analysis & Insights
  • Query and analyze datasets using SQL
  • Clean, structure, and transform data using Python, R, or Excel
  • Perform variance analysis (actual vs. forecast vs. budget)
  • Identify trends, risks, and opportunities across datasets

Reporting & Dashboards
  • Build dashboards using:
    • Tableau
    • Power BI
    • Looker
  • Prepare monthly reports, executive summaries, and board decks
  • Ensure reporting is consistent, accurate, and easy to interpret

Forecasting & Budgeting
  • Support FP&A processes and rolling forecasts
  • Integrate real-time performance into financial projections
  • Help improve forecasting accuracy and business planning

Data Quality & Governance
  • Validate data sources and ensure consistency
  • Document models, assumptions, and methodologies
  • Maintain clean, reliable datasets for decision-making

Cross-Functional Collaboration
  • Partner with finance, operations, sales, and leadership
  • Translate data into clear, actionable business insights
  • Support key decisions with structured analysis

What Success Looks Like
  • Leadership trusts your numbers and insights
  • Forecasts are accurate and actionable
  • Dashboards are clear, reliable, and used daily
  • Business decisions are driven by your analysis
  • Data quality and reporting consistency improve over time

What Makes You a Strong Fit
  • Analytical thinker who simplifies complex data
  • Detail-oriented with high accuracy standards
  • Strong communicator (not just numbers - insights)
  • Comfortable working with large datasets and ambiguity
  • Proactive in identifying trends and opportunities

Requirements (Must-Have)
Experience
  • 2+ years in:
    • Financial Analysis
    • FP&A
    • Data Analytics

Core Skills
  • Advanced Excel / Google Sheets:
    • Pivot Tables
    • INDEX/MATCH
    • Data modeling
  • Strong SQL skills (queries, joins, data extraction)
  • Experience with financial reporting and variance analysis

Technical Stack
  • BI Tools:
    • Tableau
    • Power BI
    • Looker
  • Data tools:
    • SQL
    • Excel / Google Sheets

Nice to Have
  • Python or R for data analysis
  • Experience with ERP systems:
    • NetSuite
    • SAP
    • Oracle
  • Industry experience:
    • SaaS
    • Finance
    • Healthcare
  • Experience building executive dashboards

What a Typical Day Looks Like
  • Pull and clean data from SQL or ERP systems
  • Update financial models with new data
  • Run scenario and variance analysis
  • Build or refine dashboards for leadership
  • Present insights and recommendations to stakeholders

In short:
You turn raw data into clear insights that drive business decisions.
Key Metrics (KPIs)
  • Forecast accuracy (±5-10%)
  • Timely reporting delivery
  • Dashboard reliability and usability
  • Data accuracy and consistency
  • Leadership satisfaction with insights

Interview Process
  • Initial Phone Screen
  • Video Interview with Recruiter
  • Practical Task (model or dashboard)
  • Client Interview
  • Offer & Background Verification

Apply Now
If you're someone who enjoys working with data, building models, and influencing decisions through insights, this role gives you direct impact on business strategy.
Apply now and become the bridge between data and decision-making.

Apply