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Contract Amazon Business Intelligence Engineer Jobs in Nevada

Tfhd

Business Intelligence Manager

Reno, NV · On-site

$125 - $150/hr

Own Business Intelligence reporting standards, design principles, usability standards, and report ... Partner with Data and Engineering on technical feasibility, shared data assets, semantic models ...

New

Socket.dev

Business Intelligence Manager

Reno, NV · On-site

$125 - $150/hr

Own Business Intelligence reporting standards, design principles, usability standards, and report ... Partner with Data and Engineering on technical feasibility, shared data assets, semantic models ...

New

Amazon

CMMS Engineer

Sparks, NV · On-site

$104K - $131K/yr

Amazon is a place where builders can build. We hire the world's brightest minds and offer them an ... in business intelligence and analytics - 2+ years SQL Server database query and reporting ...

Amazon

Area Maintenance Manager, RME

Las Vegas, NV · On-site

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... The Reliability & Maintenance Engineering (RME) team are the business partners that work tirelessly ...

United Soccer League (USL)

$15 - $18.75/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

United Soccer League (USL)

$16 - $20.25/hr

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

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All JobsContract Amazon Business Intelligence Engineer JobsContract Amazon Business Intelligence Engineer Jobs in Nevada

Contract Amazon Business Intelligence Engineer information

What is a contract Amazon Business Intelligence Engineer?

Contract Amazon Business Intelligence Engineers are data professionals hired on a temporary or project basis to work with Amazon’s vast datasets. They are responsible for designing, developing, and maintaining scalable data solutions, dashboards, and reports that support business decision-making. These engineers use tools like SQL, Python, and Amazon Web Services (AWS) to analyze and interpret large volumes of data, identify trends, and provide actionable insights. Their contract status means they typically work for a fixed period or on specific projects rather than as permanent employees.

How do contract Amazon Business Intelligence Engineers typically collaborate with cross-functional teams to deliver data-driven insights?

As a Contract Amazon Business Intelligence Engineer, you'll frequently work alongside product managers, data scientists, and software engineers to translate business requirements into actionable data solutions. Collaboration often involves attending regular meetings to gather requirements, sharing analytical findings, and iterating on dashboards or reports based on stakeholder feedback. Since contract roles may require onboarding quickly, strong communication skills and adaptability are key for integrating smoothly into existing teams and workflows. This environment provides great exposure to diverse projects and the opportunity to build relationships across multiple departments.

What are the key skills and qualifications needed to thrive as a contract Amazon Business Intelligence Engineer, and why are they important?

To thrive as a Contract Amazon Business Intelligence Engineer, you need a strong background in data analysis, SQL, and data warehousing, often supported by a degree in computer science or a related field. Expertise in BI tools like Tableau or QuickSight, experience with AWS services, and knowledge of ETL processes are typically required. Strong problem-solving, communication, and stakeholder management skills help deliver actionable insights and collaborate effectively across teams. These skills are crucial for transforming complex data into meaningful business solutions that drive decision-making at Amazon.

What is the difference between Contract Amazon Business Intelligence Engineer vs Contract Data Analyst?

AspectContract Amazon Business Intelligence EngineerContract Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData cleaning, SQL, Excel, visualization tools
Work EnvironmentTech-focused, cloud-based, cross-functional teamsBusiness units, reporting, data interpretation
Industry UsageTech, e-commerce, retailFinance, marketing, operations

The Contract Amazon Business Intelligence Engineer and Contract Data Analyst roles both involve working with data, but the BI Engineer focuses more on building data pipelines, dashboards, and leveraging cloud technologies, while the Data Analyst emphasizes data interpretation and reporting. Both roles require SQL skills and are common in tech and retail industries, but the BI Engineer typically works more with advanced analytics and cloud platforms.

What are the most commonly searched types of Amazon Business Intelligence Engineer jobs in Nevada?

The most popular types of Amazon Business Intelligence Engineer jobs in Nevada are:

What are popular job titles related to Contract Amazon Business Intelligence Engineer jobs in Nevada?

For Contract Amazon Business Intelligence Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Contract Amazon Business Intelligence Engineer jobs in Nevada look for?

The top searched job categories for Contract Amazon Business Intelligence Engineer jobs in Nevada are:

Contract Amazon Business Intelligence Engineer jobs near you

Business Intelligence Manager

Tahoe Forest Health System

Reno, NV • On-site

$128K/yr

Full-time

Posted 6 days ago

Job description

Bargaining Unit: Non Represented - Manager
Rate of Pay: $128,731 annually + DOE
Summary
The Manager of Business Intelligence leads the development, governance, and delivery of enterprise dashboards, reports, metrics, scorecards, and analytical products. This role connects clinical, operational, financial, quality, and executive stakeholders with technical teams to translate organizational needs into accurate, standardized, actionable information. The position oversees Business Intelligence standards, reporting governance, stakeholder engagement, analytical delivery, and adoption of enterprise reporting and self-service analytics.
Essential Duties and Responsibilities
Enterprise Business Intelligence & Reporting
  • Lead development and delivery of enterprise dashboards, reports, scorecards, metrics, and analytical products.
  • Own Business Intelligence reporting standards, design principles, usability standards, and report lifecycle management.
  • Lead intake, evaluation, prioritization, and delivery of enterprise reporting and analytics requests.
  • Support executive, clinical, operational, access, quality, financial, regulatory, and service line reporting needs.
  • Evaluate existing reporting and retire obsolete, duplicative, inconsistent, or unsupported analytical products.
  • Promote standardized and scalable reporting solutions rather than fragmented departmental reporting.

Business Requirements & Analytical Decision Support
  • Gather, analyze, and document clinical, operational, financial, executive, quality, regulatory, and strategic reporting requirements.
  • Translate business requirements into dashboards, reports, scorecards, metrics, analytical products, and technical specifications.
  • Partner with organizational leaders to identify appropriate measures, analytical approaches, and reporting solutions.
  • Lead user acceptance testing, stakeholder validation, and business approval prior to implementation.
  • Analyze reporting needs and recommend solutions that balance business value, technical feasibility, standardization, and sustainability.
  • Support organizational initiatives requiring cross-functional analytical and reporting capabilities.

Reporting Governance, Metrics & Data Quality
  • Lead metric definition, business-rule documentation, data-dictionary development, reporting governance, and business data-quality processes.
  • Establish consistent definitions and methodologies for enterprise performance measures.
  • Ensure dashboards and reports use approved data sources, business rules, calculations, and reporting standards.
  • Coordinate validation of reporting outputs with Finance, clinical, operational, quality, and other subject-matter experts.
  • Identify reporting discrepancies and partner with Data and Engineering and source-system owners to resolve underlying data issues.
  • Maintain documentation of metrics, reporting logic, ownership, definitions, and analytical methodologies.

Analytics Adoption & Operational Partnerships
  • Partner with clinical, operational, executive, quality, and departmental leaders to improve the use of data in organizational decision-making.
  • Train stakeholders and support adoption of enterprise dashboards, analytical tools, and governed self-service reporting.
  • Partner with Data and Engineering on technical feasibility, shared data assets, semantic models, system performance, and delivery timelines.
  • Partner with Finance to connect operational, clinical, workforce, and financial performance.
  • Partner with Information Technology and application teams regarding source-system reporting requirements and system changes affecting analytics.
  • Promote data literacy and effective use of analytical information throughout the organization.

Leadership & Analytical Standards
  • Supervise, develop, and prioritize the work of assigned Business Intelligence analysts, developers, and other analytical staff.
  • Build a high-performing Business Intelligence team through coaching, mentoring, succession planning, cross-training, and professional development.
  • Establish priorities and allocate resources based on organizational strategy, reporting demand, regulatory requirements, and operational needs.
  • Review analytical products for accuracy, consistency, usability, appropriate validation, and alignment with organizational standards.
  • Establish and maintain Business Intelligence development, documentation, testing, validation, and release processes.
  • Recommend improvements to analytical tools, reporting processes, governance practices, workflows, and organizational analytical capabilities.

Demonstrates System Values in performance and behavior.
Complies with System policies and procedures.
Other duties as may be assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Supervisory Responsibilities
Carries out supervisory responsibility in accordance with the organization's policies and applicable laws. Responsibilities include interviewing, hiring, training, assigning, coaching, counseling, and disciplining employees; administering scheduling systems; communicating job expectations; planning, monitoring, appraising, and reviewing job contributions; enforcing policies and procedures.
Minimum Education/Experience
Bachelor's Degree Analytics, business intelligence, information systems, healthcare administration, finance, or a related field and 5 or more years relevant experience
Required Licenses/Certifications
None
Other Experience/Qualifications
Required
  • Bachelor's degree in analytics, business intelligence, information systems, healthcare administration, finance, or a related field.
  • Five years of experience in business intelligence, reporting, analytics, or decision support.
  • Previous supervisory, project-lead, or team-lead experience.
  • Strong experience with Power BI or a comparable enterprise reporting platform.
  • Demonstrated ability to communicate analytical information to technical and nontechnical stakeholders.

Preferred
  • Healthcare analytics experience.
  • Experience with Epic, SQL, Microsoft Fabric, Axiom, Premier, or healthcare benchmarking systems.
  • Master's degree or relevant analytics certification.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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