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Remote Entry Level Quantitative Analyst Jobs in Arizona

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Requires intermediate analytical and quantitative skills. OTHER SKILLS And ABILITIES Experience with Microsoft BI stack (e.g., SSRS) a bonus. Proficient in Microsoft Office Suite including Word ...

Management Analyst 4

Phoenix, AZ ยท On-site +1

$55K/yr

... including remote work opportunities. With career paths for seasoned professionals in a variety of fields, entry-level positions, and internship opportunities, AHCCCS offers meaningful career ...

Engineering AI Evaluator (PhD)

Mesa, AZ ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Domain Expert - (STEM PhD)

Mesa, AZ ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Domain Expert - (STEM PhD)

Phoenix, AZ ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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Remote Entry Level Quantitative Analyst information

What is the difference between Remote Entry Level Quantitative Analyst vs Remote Data Analyst?

AspectRemote Entry Level Quantitative AnalystRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles prefer certifications like CQFBachelor's in Data Science, Statistics, or related field; certifications like Microsoft Data Analyst often preferred
Work EnvironmentFinancial firms, hedge funds, or investment banks; focus on modeling and risk analysisTech companies, consulting firms, or marketing agencies; focus on data interpretation and reporting
Industry UsageCommon in finance, banking, and investment sectorsWidespread across various industries including tech, healthcare, and retail

The Remote Entry Level Quantitative Analyst primarily focuses on financial modeling and risk assessment within finance-related industries, requiring strong quantitative skills and relevant certifications. In contrast, the Remote Data Analyst works across diverse sectors, emphasizing data interpretation and reporting. Both roles are entry-level, require similar educational backgrounds, but differ in industry focus and specific skill sets.

What are the most commonly searched types of Remote Quantitative Analyst jobs in Arizona? The most popular types of Remote Quantitative Analyst jobs in Arizona are:
What cities in Arizona are hiring for Remote Entry Level Quantitative Analyst jobs? Cities in Arizona with the most Remote Entry Level Quantitative Analyst job openings:
Infographic showing various Remote Entry Level Quantitative Analyst job openings in Arizona as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Analyst (REMOTE)

Arsenault Inc

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

Re-posted 10 days ago


Job description

Responsibilities

Responsible for ensuring the business makes better decisions through collection and usage of data. Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Ability to collect, analyze, manipulate, and report on ARSENAULT data.

Essential Duties And Responsibilities

Performs ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets.

Develops data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs.

Defines data requirements and gathers and validates information, using judgment and statistical tests.

Utilizes programming and analytical tools, including open source programs including Python, R and SAS, SQL, Oracle, or similar relational database tools to formulate models and/or extract insights. Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques as required.

Identifies and troubleshoots data integration and integrity issues in cooperation with the appropriate ARSENAULT business units; Designs work flows and procedures.

Identifies opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance.

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau).

Exhibits analytical rigor, judgment, and ability to present a comprehensive 'data story' to multiple levels of the organization.

Other Duties as Assigned

Supervisory Responsibilities

No formal supervisory responsibilities in this position. May provide informal assistance such as technical guidance, and/or training to coworkers. May coordinate and assign tasks to co-workers within a work unit and/or project.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION And EXPERIENCE

Bachelor's degree from top tier school in computer science, math, engineering or related field with a minimum of 3 years of experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, database architecture, and SQL, SAS and/or SPSS including 2-3 years technical experience in software development, machine learning or statistical analysis, data engineering and data visualization related work.

Communication Skills

Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.

FINANCIAL KNOWLEDGE

Requires knowledge of financial terms and principles. Ability to calculate intermediate figures such as percentages, discounts, and/or commissions. Conducts basic financial analysis.

REASONING ABILITY

Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.

OTHER SKILLS And ABILITIES

Experience with Microsoft BI stack (e.g., SSRS) a bonus.

Proficient in Microsoft Office Suite including Word, PowerPoint, Excel, and Outlook.

Strong analytical skills.

SCOPE OF RESPONSIBILITY

Decisions made with understanding of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines. Errors in judgment may cause short-term impact to co-workers and supervisor.

In compliance with Colorados Equal Pay for Equal Work Act (EPEWA) we are disclosing the compensation, or a range thereof, for roles that will be, or could be, performed in Colorado.

If performed in Colorado, this position has a salary range of $115,000 - $126,000 with an opportunity for a company-wide annual discretionary bonus, through our PRP Bonus plan, of up to 10% of eligible pay.

ARSENAULT is an equal opportunity/affirmative action employer with a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

NOTE: An additional requirement for this role is the ability to comply with COVID-19 health and safety protocols, including COVID-19 vaccination proof and/or rigorous testing.