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Entry Level Financial Data Analyst Jobs in Tucson, AZ

Mister Car Wash

Financial Analyst

Tucson, AZ · On-site

Provide advice on revenue-generating or cost-saving opportunities by analyzing financial and non-financial data * Respond to financial and operational inquiries by store leadership in a clear and ...

DataAnnotation

Senior Financial Analyst

Tucson, AZ · Remote

$40 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is preferred ...

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Entry Level Financial Data Analyst information

See Tucson, AZ salary details

$33.1K

$80.8K

$134.3K

How much do entry level financial data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level financial data analyst in Tucson, AZ is $80,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $95,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Financial Data Analyst, and why are they important?

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry-level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

What does an Entry Level Financial Data Analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.

What is the difference between Entry Level Financial Data Analyst vs Financial Analyst?

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

What are popular job titles related to Entry Level Financial Data Analyst jobs in Tucson, AZ? For Entry Level Financial Data Analyst jobs in Tucson, AZ, the most frequently searched job titles are:
What job categories do people searching Entry Level Financial Data Analyst jobs in Tucson, AZ look for? The top searched job categories for Entry Level Financial Data Analyst jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Entry Level Financial Data Analyst jobs? Cities near Tucson, AZ with the most Entry Level Financial Data Analyst job openings:
Entry Level Financial Data Analyst jobs near you
Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Remote Investment Analyst - AI Trainer ($50-$60 per hour)

Data Annotation

Marana, AZ • Remote

$50 - $60/hr

Full-time, Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

DataAnnotation is committed to creating high-quality AI. Join our team to help train the nextgeneration of AI while enjoying the flexibility of remote work and the freedom to set your ownschedule. This role is designed to fit a variety of lifestyles — whether you're looking tocontribute part-time alongside a current position, pursue it full-time, or engage periodically as aflexible professional opportunity.

We're currently expanding into an exciting new area – teaching AI Assistant models to be amore useful tool for finance professionals. We're seeking experienced finance professionalswith advanced degrees (MBA+) and professional experience to use their expertise to help shapehow AI understands financial principles and decision-making. We're growing a team of finance experts, and as the team grows, so will your opportunities.

Inthis role, you might: Review and improve AI Assistant answers to questions about macro trends, corporatefinance, and capital markets Leverage your education and work experience to check the reasoning and accuracy of anAI Assistant's work Push the models with complex, real-world scenarios and edge cases to see where theirreasoning holds up – and where it doesn't. Share clear, structured feedback to help make each new version of the AI smarter and more reliable. To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline.

A Master's or PhD (completed or in progress) is stronglypreferred. Relevant backgrounds include Financial Accounting, Investment Banking, CorporateDevelopment, Wealth Management, and Insurance Planning. Benefits: This is a full-time or part-time REMOTE position You'll be able to choose which projects you want to work on You can work on your own schedule Projects are paid hourly starting at USD $50-$60 per hour, with bonuses on high-qualityand high-volume work Responsibilities: Give AI chatbots diverse and complex problems and evaluate their outputs Evaluate the quality produced by AI models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management A current, in progress, or completed Masters and/or PhD is is preferred but not required Note: Payment is made via PayPal.

We will never ask for any money from you. PayPal will handleany currency conversions from USD. This is an independent contract position.

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