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Remote Big Data Analytics Jobs in Nevada (NOW HIRING)

Qualus

Demand Side Management Analyst

Reno, NV · On-site +1

... Data Scientists and/or Engineers, and may include team leader roles for candidates who have ... Sacramento, CA * United States - Remote Responsibilities * Collecting, synthesizing, and ...

micro1 AI

Digital Chemistry Specialist - Remote

Reno, NV · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

Demand.com

Marketing Director (Remote)

Henderson, NV · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

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All JobsBig Data Analytics JobsRemote Big Data Analytics JobsRemote Big Data Analytics Jobs in Nevada

Remote Big Data Analytics information

What is a remote big data analytics?

A Remote Big Data Analytics job involves analyzing large and complex data sets to extract insights, identify trends, and support data-driven decision-making, while working from a location outside a traditional office environment. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret big data, often collaborating with teams virtually. They help businesses optimize operations, improve products, and better understand customer behavior. Remote Big Data Analysts must have strong analytical, technical, and communication skills to succeed in this flexible work arrangement.

What are the key skills and qualifications needed to thrive as a remote big data analytics professional?

To thrive as a Remote Big Data Analytics professional, you need a strong background in statistics, data modeling, and programming languages like Python or R, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools such as Hadoop, Spark, SQL databases, and cloud platforms like AWS or Azure, as well as certifications in these technologies, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are standout soft skills for this role. These skills enable effective data-driven decision-making and collaboration across distributed teams in dynamic business environments.

What are some common challenges faced by professionals working in remote big data analytics roles, and how can they be addressed?

Professionals in remote Big Data Analytics roles often encounter challenges related to data accessibility, effective communication with cross-functional teams, and managing time zones. Ensuring secure access to large datasets and collaborating efficiently with colleagues can be more complex when working remotely. To address these challenges, it's important to use robust cloud-based tools, establish clear communication practices, and schedule regular virtual check-ins. Additionally, developing strong self-discipline and time management skills can help maintain productivity and collaboration.

What is the difference between Remote Big Data Analytics vs Remote Data Engineer?

AspectRemote Big Data AnalyticsRemote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; often certifications in analytics toolsBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data pipelines
Work EnvironmentData analysis platforms, cloud services, analytics toolsData pipelines, ETL tools, cloud infrastructure
Industry UsageFinance, healthcare, marketing, e-commerceTech, finance, healthcare, retail
Common Search & ComparisonYesYes

Remote Big Data Analytics focuses on analyzing large datasets to extract insights, using analytics tools and statistical methods. Remote Data Engineers build and maintain data pipelines and infrastructure to enable data analysis. While both roles work with big data, analytics professionals interpret data, whereas engineers develop the systems to process it.

What are popular job titles related to Remote Big Data Analytics jobs in Nevada?

For Remote Big Data Analytics jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Big Data Analytics jobs in Nevada look for?

The top searched job categories for Remote Big Data Analytics jobs in Nevada are:

What cities in Nevada are hiring for Remote Big Data Analytics jobs?

Cities in Nevada with the most Remote Big Data Analytics job openings:

Remote Big Data Analytics jobs near you
Infographic showing various Remote Big Data Analytics job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Demand Side Management Analyst

Qualus

Reno, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Position Overview
Power your future with Qualus in our Engineering department as a Demand-Side Management (DSM) Analyst. The DSM Analyst is responsible for performing analyses involving DSM program evaluation and research for electric and gas utilities and other clients across North America. DSM programs include energy efficiency and demand response (load curtailment) programs and related projects. The scope of work for a DSM Analyst generally requires some collaboration with other DSM Analysts, Data Scientists and/or Engineers, and may include team leader roles for candidates who have leadership capabilities and interests.
Work Locations:
  • Reno, NV
  • Sacramento, CA
  • United States - Remote

Responsibilities
  • Collecting, synthesizing, and translating information from varied sources into cohesive findings and results
  • Producing quantitative analysis
  • Conducting technical interviews to obtain data needed to complete analytical tasks
  • Provide written explanations of analysis results that effectively communicate the basis for the results, the meaning of the results, and the implications of the results
  • Communicate analytical approaches, results, and implications, through presentations and meetings
  • Provide recommendations to assist clients with improving analytical results
  • Proactively check own work (data, analysis, writing) for accuracy and make corrections as needed
  • Provide guidance and direction to less experienced analysts

Minimum Qualifications
  • Master's degree or higher, preferably in the sciences, economics, statistics, mathematics, or a related field.
  • At least 2 years of applicable experience.
  • 5+ years of experience may be considered for Senior-Level roles
  • Proficiency in Microsoft Excel and other Microsoft Office applications for reporting.

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Benefits & Compensation
Qualus benefits offered include Medical, Dental, Vision, Life Insurance, Short and Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Parental Leave, Paid time off, and Holidays, for those who qualify.
The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The salary range provided in this job posting may be subject to change for business purposes.
Company Overview
Qualus is a leading pure-play power solutions firm and innovator at the forefront of power infrastructure transformation, with differentiated capabilities across grid modernization, resiliency, security, and sustainability. The firm partners with utilities, commercial, industrial, data center, and government clients, and renewable and energy storage developers, offering comprehensive solutions through boutique and integrated advisory, planning, engineering, digital solutions, program management, and specialized field services. Qualus also provides software and technology enabled services and develops breakthrough solutions for critical power industry challenges such as distributed and variable resource integration, emergency management, and secure data exchange. The firm has over 1,800 professionals, with offices throughout the U.S. and Canada.
Equal Opportunity Employer
We are an equal opportunity employer and value diversity. We are committed to providing an inclusive workplace and do not discriminate on any grounds protected by applicable human rights legislation across Canada and the US.

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