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Amazon Power Bi Jobs (NOW HIRING)

Tria Federal

BI Reporting & AWS Quick Sight

$52.25 - $67.75/hr

Ability to provide AI-powered insights and dashboard interactions through Amazon QuickSight Q/Generative BI capabilities. * Develop cloud-native data solutions leveraging AWS services. * Work with ...

Tria Federal

BI Reporting & AWS Quick Sight

Arlington, VA · On-site

$58.75 - $76.25/hr

Ability to provide AI-powered insights and dashboard interactions through Amazon QuickSight Q/Generative BI capabilities. * Develop cloud-native data solutions leveraging AWS services. * Work with ...

HealthEdge

Senior BI Analyst

Required Qualifications * 5+ years of professional experience building production BI dashboards in Tableau, Amazon QuickSight, Power BI, Looker, or comparable modern BI tooling - with at least one ...

HealthEdge

Required Qualifications * 5+ years of professional experience building production BI dashboards in Tableau, Amazon QuickSight, Power BI, Looker, or comparable modern BI tooling - with at least one ...

MDAEdge

Looker Admin

Tampa, FL · On-site

... Power BI, Looker, Amazon QuickSight. • Experience in designing and delivering complex platform architectures. • Extensive experience with Python programming, Shell Scripting, and PowerShell ...

MDAEdge

Looker Admin

Dallas, TX · On-site

... Power BI, Looker, Amazon QuickSight. • Experience in designing and delivering complex platform architectures. • Extensive experience with Python programming, Shell Scripting, and PowerShell ...

Amazon

Sr. Financial Analyst, Amazon Autos

Seattle, WA · On-site

$97K - $121K/yr

... Power BI or other BI packages - Strong business acumen with ability to translate data into ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Pddn

Looker BI Analyst (100% Remote)

San Francisco, CA · Remote

Tableau, Excel, Power BI, etc. Maintain and debug LookML code, Build user-friendly Explores, Design ... Knowledge of relational Databases or Data Warehouses (Amazon Redshift, Google BigQuery, PostgreSQL ...

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How much do amazon power bi jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for amazon power bi in the United States is $61.14, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $67.31 per hour, depending on experience, location, and employer.

What types of projects or analyses does an Amazon Power BI specialist typically work on?

An Amazon Power BI specialist frequently designs and builds interactive dashboards, generates reports on sales, operations, and customer behavior, and collaborates with business stakeholders to identify actionable trends in data. The role often involves integrating data from multiple sources, automating recurring analyses, and optimizing data models for clarity and performance. You may also participate in cross-functional project teams with analysts, engineers, and business leads to support strategic initiatives. This varied workload provides the opportunity to continuously develop new data skills while making a measurable impact on Amazon's business objectives.

What are the key skills and qualifications needed to thrive in the Amazon Power BI position, and why are they important?

To thrive as an Amazon Power BI professional, you need strong analytical skills, expertise in Power BI, and experience working with large datasets, preferably in e-commerce or technology environments. Familiarity with data visualization tools, SQL, AWS services (such as Redshift or S3), and Power BI certification are often desirable. Excellent communication, problem-solving abilities, and collaboration skills help you turn complex data into actionable insights for various business teams. These competencies enable efficient data-driven decision-making and support the fast-paced, innovation-driven culture at Amazon.

What is an Amazon Power BI?

An Amazon Power BI job involves using Microsoft's Power BI tool to analyze data, create reports, and develop interactive dashboards to support business decision-making at Amazon. Professionals in this role work with large datasets, integrate various data sources, and provide insights to improve operations, sales, and customer experience. They often collaborate with data analysts, engineers, and business stakeholders to ensure accurate reporting and effective data visualization. Strong skills in DAX, SQL, and data modeling are typically required.

More about Amazon Power BI jobs
What are the most commonly searched types of Amazon Power Bi jobs? The most popular types of Amazon Power Bi jobs are:
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Amazon Power BI jobs near you
Infographic showing various Amazon Power Bi job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $127,162 per year, or $61.1 per hour.

BI Reporting & AWS Quick Sight

Tria Federal

Remote

$52.25 - $67.75/hr

Full-time

Medical, Life

Re-posted 9 days ago

Job description

Who we are:
Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow.
We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply.
Job Description: We are seeking a highly skilled Data Engineer with strong Business Intelligence (BI) reporting experience to design, build, and maintain scalable data solutions that support enterprise analytics and reporting needs. The ideal candidate will have expertise in data engineering, data warehousing, ETL/ELT development, and dashboard creation using AWS Quick Sight. This role will collaborate closely with business stakeholders, analysts, and technical teams to transform data into actionable insights.
Key Responsibilities
Data Engineering
  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and optimize data models, data lakes, and data warehouses in AWS environments.
  • Integrate data from multiple internal and external sources while ensuring data quality and consistency.
  • Implement data governance, validation, monitoring, and security best practices.
  • Optimize database performance, query execution, and data processing workflows.

BI Reporting & Analytics
  • Develop, maintain, and enhance interactive dashboards and reports using AWS QuickSight.
  • Translate business requirements into meaningful KPIs, metrics, and visualizations.
  • Design data models and datasets optimized for reporting and analytics.
  • Collaborate with business users to gather reporting requirements and provide actionable insights.
  • Create self-service reporting solutions for business stakeholders.
  • Ability to configure and manage Row-Level Security (RLS) and apply it across datasets, analyses, and dashboards.
  • Ability to securely embed QuickSight dashboards into web portals/applications with integrated application-level security and RLS-based access control.
  • Ability to create and manage QuickSight Topics and Spaces to enable natural language querying and self-service analytics for business users.
  • Ability to provide AI-powered insights and dashboard interactions through Amazon QuickSight Q/Generative BI capabilities.
  • Develop cloud-native data solutions leveraging AWS services.
  • Work with AWS services such as:
    • Amazon S3
    • AWS Glue
    • Amazon Redshift
    • Amazon Athena
    • AWS Lambda
    • Amazon RDS
    • AWS Quick Sight
  • Implement data security, access controls, and compliance requirements within AWS.

Collaboration & Support
  • Partner with business analysts, data scientists, and application teams to deliver analytics solutions.
  • Provide technical guidance on reporting architecture and dashboard best practices.
  • Troubleshoot data issues and support production reporting environments.
  • Document data pipelines, reporting solutions, and technical processes.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • 5+ years of experience in Data Engineering, Data Warehousing, or BI Development.
  • Hands-on experience building and maintaining dashboards using AWS QuickSight.
  • Strong experience with SQL and relational databases.
  • Experience developing ETL/ELT pipelines using AWS Glue, Python, Spark, or similar technologies.
  • Strong understanding of dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Experience with AWS cloud services and data analytics architecture.
  • Proficiency in Python and/or other scripting languages.
  • Experience with Git and CI/CD deployment practices.

Preferred Qualifications
  • AWS Certifications (e.g., AWS Certified Data Engineer, AWS Certified Solutions Architect, AWS Certified Data Analytics).
  • Experience with Redshift, Athena, and large-scale cloud data platforms.
  • Knowledge of data governance, data quality frameworks, and metadata management.
  • Experience working in Agile/Scrum environments.
  • Familiarity with healthcare, federal, financial, or regulated industry reporting environments.

Technical Skills
Required
  • AWS QuickSight
  • SQL
  • Python
  • AWS Glue
  • Amazon Redshift
  • Amazon S3
  • Amazon Athena
  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing

Preferred
  • Apache Spark
  • Lambda
  • Airflow
  • Terraform
  • Tableau or Power BI
  • Snowflake

Key Competencies
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder engagement abilities.
  • Ability to translate business requirements into technical solutions.
  • Attention to detail and commitment to data quality.
  • Strong collaboration and teamwork skills.

Nice-to-Have Experience
  • Federal government or healthcare data environments.
  • Building executive dashboards and KPI scorecards.
  • Data migration and modernization initiatives.
  • Real-time or near-real-time analytics solutions.

Target Experience Level: Junior-Mid (5-10+ years)
Primary Focus: Data Engineering, AWS Data Platform, BI Reporting, AWS Quick Sight Dashboard Development.
Why Tria?
What defines the Tria brand is more than just our dedication to excellence in our craft; it's our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team's shared success.
As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow.
California Consumer Privacy Act (CCPA)
We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review https://www.oag.ca.gov/privacy/ccpa.

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