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Remote Mathematical Analyst Jobs in Arizona (NOW HIRING)

U-Haul

Contact Center Data Analyst

Phoenix, AZ ยท On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Formulate mathematical or simulation models of problems, relating constants and variables ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

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 ...

Valenz Health

Sr. Analyst - Healthcare Analytics

Phoenix, AZ ยท On-site +1

$83K - $109K/yr

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Finance, Economics, or ... This is a fully remote position, and we'll provide all the necessary equipment! * Work Environment:

ASCENSUS

NQ Plan Analyst

Phoenix, AZ ยท Remote

Ability to apply advanced mathematical concepts utilizing current spreadsheet and accounting ... For all virtual remote positions, in order to ensure associates can effectively perform their job ...

CVS Health

Remote/Virtual (Using your own personal laptop/computer) Program Overview: * Unpaid Educational ... Risk Management/Insurance, Math, Statistics, Business Analytics, Economics (and related majors)

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Remote Mathematical Analyst information

What are some common challenges faced by Remote Mathematical Analysts, and how can they be addressed?

Remote Mathematical Analysts often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex mathematical concepts. To address these, it is important to leverage digital collaboration tools, establish regular virtual meetings, and document methodologies thoroughly. Building a strong rapport with colleagues through proactive communication and participating in virtual brainstorming sessions can also help ensure everyone stays aligned on project goals and deliverables.

What are the key skills and qualifications needed to thrive as a Remote Mathematical Analyst, and why are they important?

To thrive as a Remote Mathematical Analyst, you need a strong background in mathematics, statistics, and data analysis, typically supported by a degree in mathematics or a related field. Familiarity with statistical software (such as R, MATLAB, or Python), data visualization tools, and spreadsheet platforms is commonly required. Excellent problem-solving abilities, attention to detail, and effective written communication are important soft skills for this remote role. These skills and qualities are crucial for turning complex data into actionable insights and ensuring accurate, reliable results in a virtual work environment.

What is the difference between Remote Mathematical Analyst vs Remote Data Analyst?

AspectRemote Mathematical AnalystRemote Data Analyst
Required CredentialsBachelor's or higher in Mathematics, Statistics, or related fieldBachelor's or higher in Statistics, Data Science, or related field
Work EnvironmentRemote, often in research or analytics firmsRemote, in various industries like finance, healthcare, marketing
Employer & Industry UsageResearch institutions, analytics companies, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Remote Mathematical Analyst and a Remote Data Analyst lies in their focus areas. Mathematical Analysts primarily work on complex mathematical modeling and theoretical analysis, while Data Analysts focus on interpreting data to inform business decisions. Both roles often require similar educational backgrounds and can be found working remotely across various industries.

What is a Remote Mathematical Analyst?

A Remote Mathematical Analyst is a professional who applies mathematical theories and techniques to analyze data and solve problems, typically while working from a location outside of a traditional office setting. They may work in fields such as finance, data science, engineering, or research, using statistical models, algorithms, and simulations to draw meaningful conclusions from data. Remote Mathematical Analysts collaborate with teams virtually, utilize specialized software, and present their findings in reports or presentations. Their work often helps organizations make data-driven decisions and optimize processes.
What are the most commonly searched types of Mathematical Analyst jobs in Arizona? The most popular types of Mathematical Analyst jobs in Arizona are:
What are popular job titles related to Remote Mathematical Analyst jobs in Arizona? For Remote Mathematical Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Mathematical Analyst jobs in Arizona look for? The top searched job categories for Remote Mathematical Analyst jobs in Arizona are:
What cities in Arizona are hiring for Remote Mathematical Analyst jobs? Cities in Arizona with the most Remote Mathematical Analyst job openings:
Remote Mathematical Analyst jobs near you

Remote Data Analyst / HR

Jobsultant Solutions

Tucson, AZ โ€ข Remote

Contractor

Re-posted 17 days ago

Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background

๏ปฟEqual Opportunities

Optimere is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Optimere does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable

PLEASE NOTE: Optimere is unable to sponsor visas at this time. You must be a US Citizen or Permanent Resident authorized to work in the US.

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