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Offshore Data Analyst Jobs in Nevada (NOW HIRING)

Deloitte

Data Engineer II

Las Vegas, NV · On-site

$109K - $131K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Deloitte

Delivery Management Engineer II

Las Vegas, NV · Hybrid

$53.25 - $71.25/hr

Requirements Management / Business Analysis: you will handle requirements documentation (FSDs ... data platforms. Our delivery models are tailored to meet each client's unique requirements.

Deloitte

Manager - ServiceNow

Las Vegas, NV · On-site +1

Orchestrating cross-functional teams and vendors across onshore and offshore models; aligning ... Experience with Performance Analytics, Predictive Intelligence, Now Assist, or generative ...

RecruitingDash

Social Media Manager

Las Vegas, NV · On-site

Close proximity to the beach Social Media Manager The Business Analyst is responsible for leading ... fulfilling data requirements and serve as a point person for specific areas of expertise.

Deloitte

Senior Forward Deployed Engineer- AWS

Las Vegas, NV · On-site

$99K - $137K/yr

... data engineering, data science, or analytics engineering. * 1+ years of hands-on experience ... Experience operating within hybrid onshore/offshore teams * Familiarity with security, privacy, and ...

Deloitte

Lead Forward Deployed Engineer - AWS

Las Vegas, NV · On-site

$97K - $128K/yr

... data engineering, data science, or analytics engineering. * 1+ years of hands-on experience ... Experience operating within hybrid onshore/offshore teams * Familiarity with security, privacy, and ...

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All JobsOffshore Data Analyst JobsOffshore Data Analyst Jobs in Nevada

Offshore Data Analyst information

See Nevada salary details

$34.6K

$84.2K

$138.5K

How much do offshore data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for offshore data analyst in Nevada is $84,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What is an offshore data analyst?

Offshore data analysts are professionals who analyze and interpret data related to offshore operations, such as oil and gas exploration, maritime activities, or renewable energy projects located at sea. They collect, process, and evaluate data from various offshore sources to help companies make informed decisions about safety, efficiency, and productivity. Offshore data analysts often work with specialized software and may collaborate with engineers, geologists, or project managers to provide actionable insights. Their role is crucial in ensuring that offshore projects are both cost-effective and compliant with industry regulations.

What skills and qualifications are needed to thrive as an offshore data analyst?

To excel as an Offshore Data Analyst, you need strong analytical abilities, a solid background in statistics or mathematics, and often a relevant degree such as in data science, computer science, or engineering. Familiarity with data processing tools like SQL, Python, R, and data visualization software, as well as experience with industry-specific databases and possibly certifications like Microsoft Certified Data Analyst Associate, are typically required. Excellent problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with onshore teams and presenting findings clearly. These competencies ensure accurate data interpretation, effective remote collaboration, and actionable insights that drive decision-making in offshore operations.

What are common challenges faced by offshore data analysts and how can they be addressed?

Offshore Data Analysts often encounter challenges such as time zone differences, communication barriers, and aligning with onshore teams' expectations. To address these, it's important to establish clear communication channels, document processes thoroughly, and participate in regular meetings to stay aligned with stakeholders. Leveraging collaboration tools and proactively seeking feedback can also help ensure that work meets quality standards and deadlines, fostering strong working relationships across locations.

What is the difference between Offshore Data Analyst vs Data Analyst?

AspectOffshore Data AnalystData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau are commonSimilar credentials; often holds degrees or certifications in data analysis, statistics, or related areas
Work EnvironmentRemote or offshore teams, often in different time zones, working for international companiesUsually on-site or remote within the same country or region
Employer & Industry UsageHired by multinational companies, outsourcing firms, or global consultanciesEmployed across various industries locally or nationally

Both roles involve analyzing data to support business decisions, but Offshore Data Analysts typically work remotely for international clients or companies, often in different time zones, whereas Data Analysts may work locally or on-site within their country. The core skills and certifications are similar, but the work setting and employer types differ.

What are popular job titles related to Offshore Data Analyst jobs in Nevada?

For Offshore Data Analyst jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Offshore Data Analyst jobs in Nevada look for?

The top searched job categories for Offshore Data Analyst jobs in Nevada are:

What cities in Nevada are hiring for Offshore Data Analyst jobs?

Cities in Nevada with the most Offshore Data Analyst job openings:

Offshore Data Analyst jobs near you

Lead Data Engineer - Delivery Lead

Themesoft Inc

Las Vegas, NV • On-site

$140 - $190/hr

Other

Re-posted 8 days ago

Job description

Lead Data Engineer - Delivery Lead(485388)

On-site in Las Vegas Nevada.

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.
  • Onshore/Offshore Coordination — Manage Capgemini 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.
    • 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 Capgemini 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.

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