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Remote Data Quality Analyst Jobs in Reno, NV (NOW HIRING)

Clear Capital | CubiCasa | restb.ai

SOC Analyst

Reno, NV · Remote

$113K - $139K/yr

Use SIEM and related security tools to correlate events, analyze log data, tune detections, reduce ... Wherever it Leads, Whatever it Takes ® - No matter how remote, complex, or unexpected. Our ...

Carson Tahoe Health

CODING DIAGNOSTICIAN

Carson City, NV · Remote

$18.25 - $24.50/hr

This position is fully remote* Summary The Coding Diagnostician evaluates medical records, provides ... Refers inconsistent patient treatment information/documentation to coding quality analysis ...

Fisher Organization

Entry-Level Remote Sales

Sparks, NV · Remote

... quality benefits and exceptional service. We're proud to build a legacy of leadership, growth, and ... data and help your team strategize for success Organize and lead virtual training and onboarding ...

Workiva

Spring 2027 Intern - Sales Analyst

Sparks, NV · On-site +1

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Wellpath

SUD Counselor Telehealth - Remote

Carson City, NV · Remote

$49K - $65K/yr

... quality care to every patient with compassion, collaboration, and innovation, to live our mantra to ... Complete accurate, timely documentation, collect and analyze service data, and assist with reports ...

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All JobsData Quality Analyst JobsRemote Data Quality Analyst JobsRemote Data Quality Analyst Jobs in Reno, NV

Remote Data Quality Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do remote data quality analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data quality analyst in Reno, NV is $82,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is a remote data quality analyst?

A Remote Data Quality Analyst is a professional who works from a remote location to ensure the accuracy, consistency, and reliability of data within an organization. They are responsible for identifying data errors, analyzing data quality issues, and recommending improvements to data management processes. Their work supports business decision-making by ensuring that high-quality data is available for analysis. Remote Data Quality Analysts typically use various tools and software to monitor, validate, and report on data quality from a distance. This role often requires strong analytical skills, attention to detail, and proficiency with data management technologies.

What are the key skills and qualifications needed to thrive as a remote data quality analyst?

To thrive as a Remote Data Quality Analyst, you need strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a bachelor's degree. Familiarity with data management systems, SQL, data visualization tools, and relevant certifications like CDMP or Six Sigma is common. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and ensuring data integrity. These skills and qualities are vital to ensure accurate data analysis, support business decision-making, and maintain high data quality standards in a distributed work environment.

What are some common challenges faced by remote data quality analysts and how can they be addressed?

Remote Data Quality Analysts often face challenges such as ensuring consistent communication with team members, maintaining data accuracy across disparate systems, and staying updated on evolving data standards. To address these, it's important to establish clear communication channels, use collaborative tools for real-time data validation, and participate in regular training or knowledge-sharing sessions. Building strong relationships with stakeholders and proactively seeking feedback can also enhance data quality and streamline problem-solving in a remote setting.

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

AspectRemote Data Quality AnalystRemote Data Analyst
CredentialsTypically requires data quality certifications, SQL, and data management skillsOften requires data analysis certifications, SQL, and statistical knowledge
Work EnvironmentFocuses on data accuracy, validation, and quality control in a remote settingInvolves analyzing datasets, generating reports, and providing insights remotely
Industry UsageCommon in data management, healthcare, finance, and tech companiesWidely used across marketing, finance, tech, and research sectors

The main difference is that a Remote Data Quality Analyst concentrates on ensuring data accuracy and integrity, while a Remote Data Analyst focuses on interpreting data and generating insights. Both roles often require similar technical skills but serve different functions within data teams.

What are the most commonly searched types of Data Quality Analyst jobs in Reno, NV?

The most popular types of Data Quality Analyst jobs in Reno, NV are:

Remote Data Quality Analyst jobs near you

SOC Analyst

Clear Capital | CubiCasa | restb.ai

Reno, NV • Remote

$113K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

What You Will Work On
  • Monitor, investigate, and respond to security alerts from SIEM, EDR/XDR, IDS/IPS, firewall, cloud, identity, and endpoint security platforms. 
  • Perform incident response and threat hunting activities, including alert triage, investigation, root cause analysis, containment recommendations, documentation, and follow-up actions.
  •  Use SIEM and related security tools to correlate events, analyze log data, tune detections, reduce false positives, improve alert fidelity, and identify visibility gaps. 
  • Analyze endpoint, authentication, firewall, VPN, cloud, and network activity to identify indicators of compromise, credential misuse, lateral movement, persistence, and other suspicious behavior. 
  •  Advise on vulnerability management by reviewing findings, assessing technical risk, prioritizing remediation, validating closure, and helping system owners understand exposure and business impact. 
  • Provide practical security guidance on system hardening, secure configuration, platform tuning, and control improvement based on CIS Benchmarks, vendor guidance, and organizational standards. 
  • Play an active role in the design and execution of infrastructure initiatives and participate in technical and non-technical projects to ensure an evolving adherence to industry best practices and compliance with corporate security policies and customer standards.
  • Perform other duties as assigned. 
Who We Are Looking For
  •  Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • Minimum of 5 years security experience including a deep proficiency of SOC related duties and responsibilities, including but not limited to, threat detection, incident response, security event investigations. 
  •  Demonstrated experience investigating real security events using SIEM, EDR/XDR, firewall, identity, endpoint, cloud, or network telemetry. 
  • Strong understanding of incident response, threat hunting, attacker tactics, log analysis, event correlation, detection tuning, and security investigation workflows. 
  • Experience reviewing vulnerability findings, assessing technical risk, prioritizing remediation, and advising system owners using vulnerability management platforms. 
  • Working knowledge of Windows, macOS, Linux, Active Directory, cloud environments, networking, endpoint security, CIS Benchmarks, NIST, CIS Controls, RMF, MITRE ATT&CK, and common protocols such as DNS, HTTP/S, LDAP, SMB, Kerberos, SAML, and OAuth. 
  • Relevant technical security certification required. Preferred certifications include CompTIA CySA+, CompTIA CASP+, GIAC GCIH, GIAC GCIA, GIAC GSOC, GIAC GMON, or equivalent hands-on SOC, incident response, threat hunting, or blue-team certification.
What You Can Expect
  •  Compensation: The base salary for this position ranges from $113,800 to $139,000 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses. 
  • Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan. We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources. 
  • Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team. 
  • Career and skill development resources to help advance your career and personal growth.
  • A mission-driven environment where your work makes a measurable impact on the real estate industry.
What We Value
  • Wherever it Leads, Whatever it Takes® -  No matter how remote, complex, or unexpected. Our commitment never wavers.
  • Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
  • Lift others up - We lead with empathy and strive to improve the lives of those around us.
  • Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
  • Raise the bar -  We don’t settle for industry standards, we redefine them.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.