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Remote Amazon Business Intelligence Engineer Jobs

$46.75 - $60.75/hr

Experience with business intelligence tools such as Tableau or Qlik, including building interactive ... Experience using any cloud data warehouses including Google Big Query, Amazon RedShift, Snowflake ...

Business Intelligence Data Engineer

$52.25 - $67.75/hr

We are a remote first employer with the majority of our employees residing in the upper Midwest. As ... We are seeking a highly skilled Business Intelligence Engineer to design, build, and optimize our ...

FreeUp is a freelance marketplace dedicated to connecting business owners with talented freelancers ... Daily remote Amazon job opportunities * Set your own hourly freelance rates (or fixed-rate projects)

Sr. Business Intelligence Engineer

WA · Remote

$107K - $146K/yr

The position will start remote and then will move into the hybrid schedule. Summary Vivint Smart Home is hiring a Senior Business Intelligence Engineer to join the central analytics team within our ...

FreeUp is a freelance marketplace dedicated to connecting business owners with talented freelancers ... Daily remote Amazon job opportunities * Set your own hourly freelance rates (or fixed-rate projects)

Remote employees may be considered; however, preference is given to those who can work in the ... The Business Intelligence Developer I is an early-career data professional focused on learning and ...

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Remote Amazon Business Intelligence Engineer information

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$29

$57

$79

How much do remote amazon business intelligence engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote amazon business intelligence engineer in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.

What does a remote Amazon Business Intelligence Engineer do?

A Remote Amazon Business Intelligence Engineer is responsible for designing, developing, and maintaining data solutions that help Amazon make data-driven decisions. They work with large datasets, build dashboards, create data models, and generate reports to support different business teams. Their role often involves using tools like SQL, Python, and AWS services to extract and analyze data. Working remotely, they collaborate with stakeholders across Amazon to deliver insights that improve processes and drive business growth.

What are the main collaboration methods for a remote Amazon Business Intelligence Engineer working with cross-functional teams?

As a Remote Amazon Business Intelligence Engineer, effective collaboration is essential, especially when working with data scientists, product managers, and software engineers across different time zones. Most communication occurs through virtual meetings, project management platforms, and regular status updates via email or chat tools. You'll often participate in sprint planning sessions, data review meetings, and code reviews to ensure data solutions align with business objectives. Building strong remote relationships and maintaining clear, proactive communication are key to overcoming the challenges of working in a distributed team environment.

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

To thrive as a Remote Amazon Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and proficiency in SQL and data visualization, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with Amazon Web Services (AWS), business intelligence tools like Tableau or QuickSight, and ETL systems is commonly required. Strong problem-solving abilities, effective communication, and self-motivation are essential soft skills for remote collaboration and translating business needs into actionable insights. These skills are crucial for driving data-informed decision-making and delivering impactful business solutions in a distributed work environment.

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

AspectRemote Amazon Business Intelligence EngineerRemote Amazon Data Analyst
Required SkillsData modeling, SQL, BI tools, AWS servicesData querying, Excel, SQL, visualization tools
Work EnvironmentCross-functional teams, cloud-based platformsData-focused roles, reporting environments
Industry UsageTech, retail, e-commerceRetail, marketing, e-commerce

The Remote Amazon Business Intelligence Engineer focuses on designing and maintaining data systems and dashboards to support business decisions, often working with cloud platforms like AWS. In contrast, the Remote Amazon Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require SQL and data visualization skills but differ in scope and technical depth.

More about Remote Amazon Business Intelligence Engineer jobs

What cities are hiring for Remote Amazon Business Intelligence Engineer jobs?

Cities with the most Remote Amazon Business Intelligence Engineer job openings:

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

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

What states have the most Remote Amazon Business Intelligence Engineer jobs?

States with the most job openings for Remote Amazon Business Intelligence Engineer jobs include:

Infographic showing various Remote Amazon Business Intelligence Engineer job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Senior Manager, Business Intelligence Engineer (Remote)

Kohl's

Remote

$46.75 - $60.75/hr

Full-time

Posted 13 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,474 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

Role Specific Information

Job Description

About the Role

In this role you will drive the transformation of Kohl's into a data-native organization by leveraging technical expertise and strategic insight. You'll work with cross-functional teams and specialize in understanding how data is generated, transformed, and applied to drive business decisions. Your in-depth knowledge of the BI ecosystem will allow you to convert raw data into meaningful insights. You'll help democratize the right data across the organization and ensure it is structured, scalable, and of high quality.

What You'll Do

  • Lead data and analytics strategies that span multiple balance teams and include the most complex cross-functional initiatives

  • Guide a team of engineers and managers to promote strong data literacy

  • Enable cross functional teams in identifying problem statements and areas for analysis prior to experiments or testing

  • Independently perform analysis of complex data sources to determine value and use given specific problem statements

  • Acquire and compile structured and unstructured data from disparate sources and verify its quality, accuracy and reasonableness

  • Create data visualizations to enable data exploration and translate analytic insights into tangible, actionable solutions for business partners and leaders

  • Actively seek opportunities to expand technical knowledge and solicit feedback internally and externally to drive usability of our enterprise data platform

  • Align and deliver integrated solutions with analytics teams outside of the Kohl's Technology department

  • Collaborate with other BIE leaders to develop, document and share best practices and to collectively inform company strategic and tactical decisions

  • Oversee and refine all processes for attracting, retaining, developing and coaching associates across multiple balanced teams

  • Additional tasks may be assigned

What Skills You Have

Required

  • Experience with business intelligence tools such as Tableau or Qlik, including building interactive dashboards and visualizations for non-technical stakeholders

  • Ability to communicate and convey complex technical information clearly to all types of audiences

  • Strong problem-solving skills with a proactive approach to overcome challenges in data analysis

  • Ability to collaborate effectively in cross-functional teams and work closely with stakeholders from different business units to promote data-driven decision-making

  • Ability to manage multiple priorities and projects with strong attention to detail

  • Experience leading more than 1 team of individual contributors and managers

  • Lead and coach engineers and managers across multiple teams, championing a lean product mindset and outcome-driven execution.

  • Experience supporting advanced analytics, A/B testing/experimentation measurement.

Preferred

  • Undergraduate degree (BA/BS) in an analytic/quantitative field.

  • A minimum of 10+ years of relevant professional experience in a data analysis role

  • 3+ years of formal managerial or leadership experience in analytics or retail organizations

  • Experience querying data using SQL and programming with Python and R

  • Experience using any cloud data warehouses including Google Big Query, Amazon RedShift, Snowflake, etc.

  • Experience building enterprise-grade data visualizations using Qlik, or Looker, with a strong understanding of semantic data modeling design.

  • Familiarity with leveraging Generative AI tools (like Gemini) to build conversational analytics dashboards or automate reporting workflows.

  • Experience in aggregate and semantic data modeling design for reporting.

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl's may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

  • Ability to perform the accountabilities listed in the "What You'll Do" Section

  • Ability to comply with dress code requirements

  • Basic math and reading skills, legible handwriting, and basic computer operation

  • Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

  • Ability to learn and comply with all company policies, procedures, standards and guidelines

  • Ability to give direction and to receive, understand and proactively respond to direction from leadership and other company personnel

  • Ability to work as part of a team and interact effectively and appropriately with others

  • Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

  • Ability to satisfactorily complete company training programs

  • Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

  • Ability to plan, prioritize and monitor activities across business units

  • Ability to complete or oversee the completion of assigned projects in a timely manner


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