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Data Analysis Manager Jobs in Nevada (NOW HIRING)

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

By conducting in-depth data analysis and creating ad hoc reports, they will support strategic ... Large dataset performance management * Ability to work independently and translate ambiguous ...

Senior Healthcare Analyst

Las Vegas, NV · On-site

$82K - $103K/yr

By conducting in-depth data analysis and creating ad hoc reports, they will support strategic ... Large dataset performance management * Ability to work independently and translate ambiguous ...

... identifying needed data, analysis required, and strategy for synthesizing and presenting the ... Strong project management skills and ability to collaborate productively with many departments.

Collaborate with plant management, accounting, and various dept to analyze and consolidate budget vs. actual data for generation, revenue, and total operating costs on a monthly, quarterly, and ...

Collaborate with plant management, accounting, and various dept to analyze and consolidate budget vs. actual data for generation, revenue, and total operating costs on a monthly, quarterly, and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Collaborate with plant management, accounting, and various dept to analyze and consolidate budget vs. actual data for generation, revenue, and total operating costs on a monthly, quarterly, and ...

Collaborate with plant management, accounting, and various dept to analyze and consolidate budget vs. actual data for generation, revenue, and total operating costs on a monthly, quarterly, and ...

... manage data abstraction layers (conceptual, logical, physical, semantic). • Apply guidelines ... analysis and data profiling to validate assumptions and inform builds. • Guide and mentor team ...

As a Senior Data Manager within PNC's Data products organization, you will be based in Las Vegas ... Provides senior leadership, direction and methodology for analysis, structure and storage of ...

New

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Supporting state-level voter engagement and campaign planning through analysis and reporting * Managing priority projects related to data services and coalition support * Responsibilities may shift ...

Showing results 41-60

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 8, 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 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 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 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 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:
Infographic showing various Data Analysis Manager job openings in Nevada as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $90,287 per year, or $43.4 per hour.

Lead Data Engineer - Delivery Lead

Purple Drive

Las Vegas, NV

Contractor

Posted 12 days ago


Job description

About the job you're considering


The Delivery Lead will oversee the end-to-end delivery of a Teradata-to-Azure/Databricks migration powering client's next-generation curated analytics platform as well as coordinate delivery across other data-related initiatives. This role sits onsite in Las Vegas and requires strong leadership across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains. The Delivery Lead will coordinate client delivery teams, client's business stakeholders, and technology partners to modernize the data ecosystem supporting, but not limited to, guest personalization, resort operations, gaming analytics, revenue optimization, and enterprise decisioning.

This is a high-visibility professional-services leadership role responsible for predictable delivery, stakeholder alignment, and ensuring client realizes measurable value from its cloud analytics transformation.

Your role
Delivery Leadership & Governance


Program Delivery Oversight - Lead multi-wave migration of Teradata workloads across gaming, loyalty, property operations, digital, F&B, entertainment, and enterprise analytics domains, along with other migration activities into EDH 2.0.
Governance & Reporting - Establish disciplined delivery governance aligned to client's PMO, including RAID management, executive status reporting, dependency tracking, and operational readiness checkpoints.
Stakeholder Management - Serve as a primary onsite interface for business and technology stakeholders, translating delivery progress, risks, and decisions into business-relevant language.
Risk & Issue Management - Proactively manage risks tied to high-traffic resort periods, major entertainment weekends, operational dependencies, data quality, platform readiness, and downstream analytics adoption.
Technical Program Leadership
EDH 2.0 Migration Strategy - Oversee migration planning and execution for enterprise data warehouse workloads, including Teradata tables, views, SQL logic, stored procedures, ETL/ELT dependencies, and analytics consumption patterns.
Azure Data Architecture - Guide delivery alignment to target-state Azure data architecture, including Azure Data Lake Storage, curated data zones, secure data-sharing patterns, and business-ready consumption layers.
Databricks Delivery - Ensure Azure Databricks pipelines, Delta Lake patterns, and medallion-oriented engineering practices support scalable analytics, reporting, personalization, forecasting, and enterprise decisioning use cases.
Data Analysis & Quality - Drive data profiling, reconciliation, validation, and KPI alignment across source and target platforms to support business confidence and production readiness.


Team, Financial & Partner Management


Onshore/Offshore Coordination - Manage client i delivery teams across architecture, data engineering, data analysis, QA, lineage, data modeling, and release coordination.
Resource Planning - Align capacity, skill mix, and work allocation to migration waves, delivery priorities, and business-domain sequencing.
Financial Governance - Support forecasting, burn tracking, scope management, and commercial discipline for a professional-services engagement.
Vendor & Partner Coordination - Coordinate effectively with Microsoft Azure, Databricks, client's technology partners, and other delivery stakeholders to remove blockers and maintain execution momentum.
Skills and experience
Teradata Modernization - High preference for leading or managing large Teradata modernization, migration, or decommissioning programs in complex enterprise environments.
Azure Data Platform - Strong working knowledge of Microsoft Azure data services, including Azure Data Lake Storage, secure cloud data patterns, orchestration, and enterprise-scale cloud migration practices.
Azure Databricks - Practical understanding of Azure Databricks, Spark-based engineering, Delta Lake, medallion architecture, and scalable data pipeline delivery.
SQL & Data Analysis - Strong SQL fluency and ability to guide teams through data profiling, mapping, reconciliation, transformation logic review, and issue resolution.
Data Architecture - Experience aligning migration delivery to target-state data architecture, curated analytics layers, semantic consumption patterns, governance expectations, and operational controls.
Complex Program Management - Experience leading large, multi-workstream delivery programs with onshore/offshore teams and multiple business and technology stakeholders.
Executive Communication - Skilled at presenting complex data and technology topics in clear, business-friendly language for senior client stakeholders.
Delivery Discipline - Strong ability to manage milestones, dependencies, risks, issues, scope, quality, release readiness, and operational transition.
Consulting Mindset - Ability to operate as a trusted professional-services leader focused on measurable outcomes, not solely staff augmentation or activity-based execution.
Domain Adaptability - Ability to quickly understand client's operating context across gaming, hospitality, F&B, entertainment, digital, and enterprise analytics domains.