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Delivery Data Analyst Jobs in Nevada (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... deliver quality. You will be responsible for coaching, leveraging team members' unique strengths ...

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

THE IDEAL CANDIDATE: * 8+ years of experience delivering enterprise data integration, data engineering services, and data platform solutions that support analytics, reporting, operational, and AI ...

... data-driven solutions. Interact directly with senior management to present findings and deliver ... Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation.

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Coordinating transport, delivery, and procurement of goods to keep operations running smoothly * Leveraging data management and analytics tools to create reports and monitor metrics * Recommending ...

Job Overview The VP of Data & Analytics is the senior leader responsible for AGS's entire data ... Support the agentic AI program - ensure data infrastructure is sequenced and delivered to unblock ...

Data Engineer II

Las Vegas, NV

$109K - $131K/yr

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 scalable ...

Senior Business Analyst

Las Vegas, NV · On-site +1

$110K - $130K/yr

Support Agile delivery processes, including backlog grooming, sprint planning, and requirements clarification. Data Transformation & Modernization * Analyze and document current-state and future ...

Senior Business Analyst

Las Vegas, NV · On-site

$85K - $110K/yr

Reporting & Data Analysis * Develop and maintain operational and management reporting. * Monitor ... Create and deliver end-user training documentation, job aids, and knowledge transfer materials to ...

Showing results 21-40

Delivery Data Analyst information

What is a delivery data analyst?

Delivery Data Analysts are professionals who collect, analyze, and interpret data related to the delivery of products or services. They use data-driven insights to optimize delivery operations, improve efficiency, and enhance customer satisfaction. These analysts often work with large datasets, create reports, and collaborate with logistics, operations, and IT teams to identify trends, forecast demand, and resolve delivery challenges. Their work helps organizations streamline processes and make informed decisions to achieve better business outcomes.

How does a delivery data analyst typically collaborate with cross-functional teams to improve delivery efficiency?

As a Delivery Data Analyst, you'll work closely with operations, logistics, and IT teams to identify trends and bottlenecks in the delivery process. Your role often involves gathering and analyzing data, then presenting actionable insights to stakeholders to support decision-making. Effective collaboration means translating complex datasets into clear recommendations, participating in regular team meetings, and sometimes training colleagues on data-driven tools. This cross-functional teamwork is essential for streamlining delivery operations and achieving key performance targets.

What are the key skills and qualifications needed to thrive as a delivery data analyst, and why are they important?

To thrive as a Delivery Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree in fields like statistics, mathematics, or computer science. Familiarity with data analysis tools such as SQL, Excel, Tableau, and programming languages like Python or R is typically required, along with experience using project management systems. Outstanding problem-solving, attention to detail, and effective communication skills are crucial for translating data insights into actionable recommendations for stakeholders. These competencies enable analysts to drive operational improvements and support data-driven decision-making within delivery and logistics environments.

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

MDAEdge

Las Vegas, NV • On-site

Full-time

Re-posted 11 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.