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Remote Lab Data Analyst Jobs in Mesa, AZ (NOW HIRING)

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

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 ...

... for research and analytical purposes. Ability to use data to glean insights and form ... Strong ability to stay connected to remote partners and stakeholders.

DATA ANALYST INTERMEDIATE

Phoenix, AZ ยท On-site +1

$65.97K - $120.53K/yr

DATA ANALYST INTERMEDIATE Apply now Job No: 540431 Work Type: Full-time Location: PHOENIX ... All work, including remote work, should be performed within Arizona unless an exception is properly ...

Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Analyst-IMD Data Management

Phoenix, AZ ยท On-site +1

$51K - $59.30K/yr

Primary Duties Data Analysis & Reporting: * Create and maintain reports and dashboards to track ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade, you ...

Payments & Wires, Data & Process Analyst

Tempe, AZ ยท On-site +1

$78K - $106K/yr

Creates a clear path into roles such as data stewardship, data governance, business analysis, risk ... in a remote, crosslocation environment Education * Bachelor's degree in business, finance, or ...

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Remote Lab Data Analyst information

See Mesa, AZ salary details

$10

$27

$47

How much do remote lab data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote lab data analyst in Mesa, AZ is $27.27, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $32.45 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

How does a Remote Lab Data Analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What is a Remote Lab Data Analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What cities near Mesa, AZ are hiring for Remote Lab Data Analyst jobs? Cities near Mesa, AZ with the most Remote Lab Data Analyst job openings:
Infographic showing various Remote Lab Data Analyst job openings in Mesa, AZ as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, and 18% Contract. Highlights an 58% In-person, 18% Hybrid, and 24% Remote job distribution, with an average salary of $56,714 per year, or $27.3 per hour.

Data Analyst (REMOTE)

Arsenault

Phoenix, AZ โ€ข Remote

$115K - $126K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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.

Compensation and Equal Opportunity Statements 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. #J-18808-Ljbffr