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

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing ...

Data Engineer

Truckee, CA · Remote

$100K - $200K/yr

... ensure high-quality data is delivered to downstream consumers and clients. * Design and optimize data models, storage formats, and query patterns for analytical and operational use cases.

Analyzes production limitations and problems and facilitates root cause analysis. * Analyzes data to bring conclusion to production and quality management. * Reviews change orders for product ...

Quality Engineer

Sparks, NV · On-site

$90K - $105K/yr

The Quality Engineer is responsible for ensuring product and process quality across all ... Analyze data for improvement * Take ownership and accountability * Work smarter, not harder ...

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Full Time Data Quality Analyst information

See Reno, NV salary details

$33.9K

$82.4K

$135.6K

How much do full time data quality analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for full time 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 full time data quality analyst?

Full Time Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They work full-time to monitor data sources, identify data quality issues, and develop processes for data cleansing and validation. Their role often involves collaborating with data engineers, business analysts, and IT teams to maintain high data standards, support data-driven decision-making, and comply with regulatory requirements. By implementing data quality frameworks and using specialized tools, they help minimize errors and improve the value of organizational data.

What are some common challenges faced by full time data quality analysts, and how are they typically addressed within a team?

Full Time Data Quality Analysts often encounter challenges such as dealing with inconsistent data sources, identifying root causes of data errors, and ensuring accuracy across large datasets. These challenges are usually addressed through close collaboration with data engineers, business analysts, and IT teams to establish data validation processes and implement data cleansing protocols. Regular communication, robust documentation, and the use of specialized data quality tools help analysts maintain high standards and quickly resolve any data integrity issues that arise.

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

A Full Time Data Quality Analyst typically needs strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data management tools, SQL, Excel, and sometimes data quality or ETL software, as well as certifications like Certified Data Management Professional (CDMP), is common. Excellent problem-solving abilities, communication skills, and an inquisitive mindset help analysts collaborate across teams and address data issues proactively. These skills ensure the accuracy, integrity, and reliability of data, which are crucial for informed business decision-making.

What is the difference between Full Time Data Quality Analyst vs Data Analyst?

AspectFull Time Data Quality AnalystData Analyst
CertificationsData Quality certifications, SQL, ExcelData Analysis certifications, SQL, Excel
Work EnvironmentFocus on data integrity, validation, and quality control in corporate or tech settingsData interpretation, reporting, and visualization across various industries
Employer UsageUsed in organizations prioritizing data accuracy and complianceUsed in diverse sectors for business insights and decision-making

While both roles require strong analytical skills and familiarity with data tools, a Full Time Data Quality Analyst primarily concentrates on ensuring data accuracy, consistency, and quality. In contrast, a Data Analyst focuses on interpreting data to generate insights and support business strategies. The roles often overlap but differ in their core objectives and daily tasks.

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:
What are popular job titles related to Full Time Data Quality Analyst jobs in Reno, NV? For Full Time Data Quality Analyst jobs in Reno, NV, the most frequently searched job titles are:
What cities near Reno, NV are hiring for Full Time Data Quality Analyst jobs? Cities near Reno, NV with the most Full Time Data Quality Analyst job openings:
Infographic showing various Full Time Data Quality Analyst job openings in Reno, NV as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $82,398 per year, or $39.6 per hour.

Marketing Operations Analyst

FocusKPI

Carson City, NV • On-site

Full-time

Re-posted 16 days ago


Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010