2

Remote Amazon Business Intelligence Engineer Jobs in Virginia

Sr. Business Intelligence Developer

Glen Allen, VA ยท On-site +1

$133K - $149K/yr

Responsibilities Job Title: Sr. Business Intelligence Developer Location: 4820 Lake Brook Drive, Ste. 300, Glen Allen, VA 23060 Analyze, design and code solutions that support the property and ...

Sr. Business Intelligence Developer

Glen Allen, VA ยท On-site +1

$133K - $149K/yr

Job Title: Sr. Business Intelligence Developer Location: 4820 Lake Brook Drive, Ste. 300, Glen Allen, VA 23060 Analyze, design and code solutions that support the property and casualty insurance ...

Power BI Database Engineer

Arlington, VA ยท On-site +1

$58.75 - $76.25/hr

In this role, you will support our lead BI developer and help maintain and enhance our business intelligence dashboards and reports, support the migration of legacy reports and creating new, high ...

$15.75 - $19.75/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 ...

Senior Data Engineer

Herndon, VA ยท On-site +1

$150K - $180K/yr

Experience supporting Business Intelligence, Data Science, and AI initiatives. * Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote ...

next page

Showing results 1-20

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 Virginia? The most popular types of Amazon Business Intelligence Engineer jobs in Virginia are:
What are popular job titles related to Remote Amazon Business Intelligence Engineer jobs in Virginia? For Remote Amazon Business Intelligence Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Business Intelligence Engineer jobs in Virginia look for? The top searched job categories for Remote Amazon Business Intelligence Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Amazon Business Intelligence Engineer jobs? Cities in Virginia with the most Remote Amazon Business Intelligence Engineer job openings:
Senior Business Intelligence Engineer

Senior Business Intelligence Engineer

Team Velocity

Herndon, VA โ€ข Remote

$140K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

We are seeking a Senior Business Intelligence Engineer to lead the design, development, and evolution of enterprise reporting and analytics solutions that drive strategic decision-making across the organization. This role combines deep technical expertise with strong business acumen to deliver scalable data models, executive dashboards, self-service analytics, and data storytelling. The ideal candidate will partner with cross-functional leaders, mentor team members, and help define the organization's BI strategy while ensuring data quality, governance, and best practices.

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S. Eastern or Central time zones highly preferred, but all are welcome to apply who can support 8:30AM-5:30PM (EST) hours.

Responsibilities

  • Lead the design, development, and optimization of enterprise dashboards, reports, and self-service analytics solutions.
  • Partner with executive leadership, product, sales, marketing, and operations teams to define KPIs and reporting strategies.
  • Architect scalable semantic models and reporting standards across the organization.
  • Develop executive, operational, and customer-facing analytics products.
  • Leverage Snowflake and modern cloud data platforms to transform and optimize large datasets for reporting.
  • Drive adoption of Microsoft Fabric, Power BI, Tableau, Looker, or similar BI technologies.
  • Collaborate with Data Engineering and Analytics Engineering teams to improve data pipelines and data quality.
  • Identify opportunities for automation and process improvements.
  • Establish data governance, metric definitions, and reporting best practices.
  • Mentor junior BI engineers and analysts while promoting engineering excellence.
  • Present findings and recommendations to senior leadership and business stakeholders

Qualifications

  • 7+ years of experience in business intelligence, analytics engineering, data analytics, or related disciplines.
  • Expert-level SQL skills and extensive experience with Snowflake or similar cloud data platforms.
  • Advanced experience with Power BI, Microsoft Fabric, Tableau, Looker, or equivalent BI platforms.
  • Strong understanding of dimensional modeling, semantic layers, KPI frameworks, and enterprise reporting architecture.
  • Experience working with large, complex datasets and optimizing query performance.
  • Ability to communicate technical concepts to executive and non-technical audiences.
  • Experience leading projects and influencing cross-functional teams.
  • Strong commitment to data quality, governance, and documentation.

Preferred Experience

  • Automotive industry experience with dealership, OEM, consumer, telematics, aftermarket, finance, or mobility data.
  • Experience with Python, dbt, analytics engineering workflows, and modern ELT architectures.
  • Knowledge of cloud ecosystems and data integration technologies.
  • Experience building customer-facing analytics products.
  • Experience mentoring teams in a remote-first environment.

COMPENSATION
Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more. The expected salary range for this position is $140,000โ€“$170,000 annually. The final offer will be based on several factors, including relevant experience, skills, and qualifications.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online application, be sure to include a current resume and contact information. Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided for this position. NO PHONE CALLS PLEASE.


About Team Velocity
Team Velocity is a full-service marketing agency serving the automotive industry, providing integrated marketing solutions to OEMs and dealerships nationwide. We leverage our proprietary Apolloยฎ technology platform to predict consumer behavior, personalize marketing campaigns, and help dealerships drive more sales and service revenue.

Our team members are driven, creative, and collaborative, enjoying a unique culture where innovation and client success are paramount.

Join us in revolutionizing automotive marketing and technology through powerful, data-driven insights, continuous improvement, and an unwavering commitment to reliability.