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Data Analytics Jobs in Reno, NV (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Sparks, NV · On-site

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

Palisades Tahoe

Workforce Analyst

Olympic Valley, CA

$70K - $83K/yr

... analytics, scheduling support, Workday workforce management, and labor-related operational planning. Leveraging data including weather patterns, seasonality, guest demand, and labor trends, the ...

Danaher

Digital Analyst Internships

Sparks, NV · On-site

$100K - $119K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Danaher

Digital Analyst Internships

Carson City, NV · On-site

$96K - $114K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Varsity Tutors

Business Analytics Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Amazon

Data Center Technician

Sparks, NV · On-site

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV · On-site

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV · On-site

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV · On-site

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

Amazon

Data Center Technician

Sparks, NV · On-site

... on your analysis of operational issues -Helping to interview, train and onboard new team members A day in the life Our Data Center Technician professionals, who have industry-leading technical ...

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All JobsData Analytics JobsData Analytics Jobs in Reno, NV

Data Analytics information

See Reno, NV salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for data analytics in Reno, NV is $54.74, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Reno, NV? The most popular types of Data Analytics jobs in Reno, NV are:
What are popular job titles related to Data Analytics jobs in Reno, NV? For Data Analytics jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Reno, NV look for? The top searched job categories for Data Analytics jobs in Reno, NV are:
What cities near Reno, NV are hiring for Data Analytics jobs? Cities near Reno, NV with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Reno, NV as of June 2026, with employment types broken down into 60% Full Time, 20% Part Time, and 20% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,861 per year, or $54.7 per hour.
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Sparks, NV • On-site

Full-time

Posted 3 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

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