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Computer Science Finance Jobs in Arizona (NOW HIRING)

Pwc

SAP Core Finance Consultant - Manager

Phoenix, AZ · On-site

$99K - $232K/yr

Business Admininstration/Management, Commerce, Computer and Information Science, Finance, Information Technology, Management Information Systems - Demonstrating proficiency in SAP Central Finance and ...

Deloitte

Finance Analytics & AI Senior Consultant

Tempe, AZ · On-site

$111K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics * 4+ years of experience delivering analytics, machine learning ...

Pwc

SAP Core Finance Consultant - Senior Manager

Phoenix, AZ · On-site

$124K - $280K/yr

Business Admininstration/Management, Commerce, Computer and Information Science, Finance, Information Technology, Management Information Systems - Demonstrating advanced skills in SAP Central Finance ...

Globe Telecom, Inc.

Data Science Manager

Globe, AZ · On-site

Join our Finance AI task force as a Data Science Lead and spearhead our data analytics strategy. If ... Bachelor's or Master's degree in Applied Mathematics, Data Science, Statistics, Computer Science ...

Viasat, Inc.

Senior Analyst, IT Risk & GRC

Tempe, AZ · On-site

Bachelor's degree or equivalent experience in Management Information Systems (MIS), Accounting Information Systems, Computer Science, Finance, or a related field. * Strong expertise in SOX frameworks ...

Axon

Finance Transformation AI Lead

Scottsdale, AZ

Bachelor's degree in Computer Science, Engineering, Finance, or a related field, or equivalent practical experience. Preferred Qualifications * Experience building AI agents or agentic workflows.

Republic Services

Data Scientist II

Phoenix, AZ · On-site

Interprets common operational, financial, and performance metrics and applies appropriate analytic ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

Republic Services

Data Scientist II

Phoenix, AZ · On-site

Interprets common operational, financial, and performance metrics and applies appropriate analytic ... Master's Degree in an analytical field (Mathematics, Computer Science, Information Management ...

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All JobsComputer Science Finance JobsComputer Science Finance Jobs in Arizona

Computer Science Finance information

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

Can computer science work in finance?

Computer science professionals can work in finance as quantitative analysts, software developers, or data scientists, applying skills in programming, algorithms, and data analysis to financial modeling, trading systems, and risk management. Knowledge of financial concepts and tools like Python, R, or SQL is often required for these roles.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What are finance jobs for computer science majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Arizona? For Computer Science Finance jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Arizona look for? The top searched job categories for Computer Science Finance jobs in Arizona are:
What cities in Arizona are hiring for Computer Science Finance jobs? Cities in Arizona with the most Computer Science Finance job openings:
Computer Science Finance jobs near you
Infographic showing various Computer Science Finance job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Data Analyst

Connexzia

Scottsdale, AZ

Full-time

Re-posted 11 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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