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Remote Amazon Business Intelligence Engineer Jobs in Missouri

Jobgether

... or a similar business intelligence platform. * Experience working with Amazon Redshift and ... Fully remote, remote-first working environment. * Competitive salary with individual performance ...

United Soccer League (USL)

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

United Soccer League (USL)

$14.25 - $18/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

United Soccer League (USL)

$15 - $18.75/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Familiarity of SQL, or other programming languages. We are an equal opportunity employer and all ...

Kohl's

Experience with an object-oriented programming language (R, Python etc.) * Ability to write ... Ability to plan, prioritize and monitor activities across business units * Ability to complete or ...

The Timberline Group

Microsoft Power BI

Affton, MO · On-site +1

$45.25 - $58.75/hr

Connecting to data sources, importing data and transforming data for Business Intelligence. Excellent in analytical thinking for translating data into informative visuals and reports. Able to ...

Jobgether

$94K - $124K/yr

... remote environment. Accountabilities * Assess the current Azure and Microsoft Fabric data ... Requirements * 6+ years of experience in data engineering, business intelligence, cloud data ...

Jobgether

$66K - $83K/yr

... and business intelligence across the full player lifecycle. You will lead analytical projects ... Collaborate with Data Engineers to improve data quality, tracking coverage, analytical datasets ...

Jobgether

$5.0K - $6.5K/mo

This fully remote opportunity is designed for an experienced Python engineer passionate about ... Opportunity to work on large-scale data systems supporting global business intelligence products.

Jobgether

$66K - $83K/yr

... with business intelligence and data visualization tools such as Tableau, Power BI, Amazon ... Fully remote work environment. * Opportunity to work on large-scale, high-impact marketing ...

Jobgether

$88K - $106K/yr

... fully remote environment. If you enjoy building resilient data platforms and driving cloud ... Collaborate with product, engineering, and business teams while contributing to Agile development ...

Jobgether

... business function, preferably within a startup or other fast-paced environment. * 3+ years of e ... Fully remote, full-time position. * Opportunity to take ownership of brand growth across the Amazon ...

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Remote Amazon Business Intelligence Engineer information

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.

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 most commonly searched types of Amazon Business Intelligence Engineer jobs in Missouri?

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

What are popular job titles related to Remote Amazon Business Intelligence Engineer jobs in Missouri?

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

What job categories do people searching Remote Amazon Business Intelligence Engineer jobs in Missouri look for?

The top searched job categories for Remote Amazon Business Intelligence Engineer jobs in Missouri are:

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

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

Remote Amazon Business Intelligence Engineer jobs near you

Senior BI Engineer

Jobgether

Remote

Full-time

PTO

Posted 4 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior BI Engineer based in Netherlands.

This is an opportunity to play a key role in shaping how an organisation turns data into trusted, actionable business insights.
You will design and evolve business intelligence solutions that make complex information accessible to stakeholders across the organisation.
The role combines hands-on technical work with close collaboration across business and data teams.
You will build semantic models, define meaningful KPIs, and create intuitive dashboards that support better decision-making.
You will also help establish consistent reporting standards and promote self-service analytics across the business.
Working in a remote-first environment, you will have significant ownership over the evolution of the BI and analytics landscape.
Your work will directly contribute to a stronger data culture, improved visibility, and more informed business performance.

Accountabilities
  • Partner with business stakeholders to understand reporting needs and translate them into scalable analytical solutions.
  • Design, build, and maintain dashboards and reports using Metabase or comparable BI platforms.
  • Define, document, and maintain business metrics, KPIs, reporting standards, and shared business definitions.
  • Develop and optimise advanced SQL queries for reporting and analytical use cases.
  • Design semantic data models and reporting datasets that enable reliable self-service analytics.
  • Validate data accuracy and consistency across dashboards, reports, and analytical datasets.
  • Investigate data discrepancies and collaborate with Data Engineers to identify root causes and drive issues through resolution.
  • Analyse business performance, identify trends, and provide actionable insights and recommendations.
  • Establish and promote best practices in business intelligence, reporting, and data visualisation.
  • Maintain clear documentation covering dashboards, metrics, business definitions, and reporting processes.
  • Support stakeholder adoption of BI solutions and encourage data-driven decision-making across the organisation.
  • Identify opportunities to improve reporting capabilities, data accessibility, and the overall analytics platform.
Requirements
  • 5+ years of professional experience in Business Intelligence, Analytics Engineering, Data Analytics, or a closely related field.
  • Advanced SQL skills and proven experience working with large analytical datasets.
  • Strong hands-on experience building dashboards and reports with Metabase or a similar business intelligence platform.
  • Experience working with Amazon Redshift and relational database environments.
  • Solid understanding of dimensional data modelling and semantic layer design.
  • Experience defining business metrics, KPIs, reporting frameworks, and organisation-wide data standards.
  • Ability to independently investigate complex business and data issues and take them through to resolution.
  • Strong analytical and problem-solving abilities, with the capacity to translate data into meaningful business recommendations.
  • Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences.
  • A proactive, ownership-driven mindset and a strong sense of accountability.
  • Ability to work effectively in a remote-first and collaborative environment.
Benefits
  • Fully remote, remote-first working environment.
  • Competitive salary with individual performance-based bonuses paid quarterly.
  • 28 days of paid annual leave.
  • Core working hours from 10:00 AM to 3:00 PM in your local time zone, with flexibility outside those hours.
  • Referral bonuses and additional flash bonuses.
  • High-quality equipment to support effective remote work.
  • Annual company retreats offering opportunities for networking, collaboration, and team building.
  • Opportunity to work on impactful BI and analytics initiatives with significant ownership.
  • A role focused on improving data accessibility and strengthening data-driven decision-making across the organisation.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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