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Data Analysis Manager Jobs in Nevada (NOW HIRING)

Jobtailor

Manager, Gaming Analytics

Las Vegas, NV · On-site

$100 - $150/hr

Develop presentation materials and communicate analytical findings to senior management * Support ... Quantitative Analysis * Data Analytics * Statistical Analysis * Reporting Tools Development

TEKsystems

Data Center Analyst

Las Vegas, NV

$35 - $40/hr

Skills Data Center, Rack and Stack, Cabling, Hardware, Server Support, Infrastructure Management, ServiceNow, CompTIA A+ Description Seeking a Data Center Analyst to support day-to-day data center ...

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All JobsData Analysis JobsData Analysis Manager JobsData Analysis Manager Jobs in Nevada

Data Analysis Manager information

See Nevada salary details

$22.9K

$90.3K

$146.6K

How much do data analysis manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analysis manager in Nevada is $90,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $110,500.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in Nevada?

The most popular types of Data Analysis jobs in Nevada are:

What are popular job titles related to Data Analysis Manager jobs in Nevada?

For Data Analysis Manager jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in Nevada look for?

The top searched job categories for Data Analysis Manager jobs in Nevada are:

What cities in Nevada are hiring for Data Analysis Manager jobs?

Cities in Nevada with the most Data Analysis Manager job openings:

Data Analysis Manager jobs near you
Infographic showing various Data Analysis Manager job openings in Nevada as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $90,287 per year, or $43.4 per hour.

BFSI Toad Data Modeler - Big Data, Data Vault 2.0 & Cloud Data Warehouse

MDAEdge

Las Vegas, NV • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
MDAEdge is seeking a highly experienced and motivated Senior Data Modeler from the Financial Services Domain with over 7 years of expertise in data modeling and data analysis. The ideal candidate should possess strong communication and leadership skills, and will lead complex data modeling initiatives across both on-premises and cloud environments.
Responsibilities:
• Lead and contribute to complex data modeling initiatives (100+ entities/tables) across both on-premises and cloud environments.
• Design and develop data models using Data Vault 2.0, star, and snowflake schemas for cloud platforms and big data ecosystems.
• Collaborate with cross-functional teams including product managers, developers, DBAs, business stakeholders, and data governance teams to gather requirements and deliver scalable solutions.
• Implement data warehouse design methodologies including Bill Inmon and Ralph Kimball approaches.
• Analyze and model data from various big data sources and tools such as Hive, S3, Trino, and HUE.
• Utilize data modeling tools like Erwin, ER/Studio, or Toad Data Modeler to design normalized, denormalized, relational, and dimensional models.
• Apply best practices in Data Warehousing, Data Profiling, Data Quality, Master Data Management (MDM), Data Lineage, Data Mapping, Data Dictionary, and Data Governance.
• Provide thought leadership in emerging architecture patterns such as Data Lakehouse.
Qualifications:
Required:
• 7+ years of experience in data modeling and data analysis.
• 4–7 years of hands-on experience with Big Data and Hadoop ecosystems.
• Strong expertise in cloud data warehouse platforms, especially Snowflake.
• Proven experience in Data Vault 2.0 modeling methodology.
• Solid knowledge of big data tools and platforms (e.g., Hive, S3, Trino).
• Deep understanding of both on-prem and cloud-based data architectures.
• Extensive experience with relational databases such as Oracle, SQL Server, DB2, and Redshift.
• Excellent collaboration and communication skills; experience working in cross-functional and agile environments.
Preferred:
• Experience in the Financial Services domain.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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