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Remote Amazon Business Intelligence Engineer Jobs in Texas

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

AI frameworks -- Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph ... remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a ...

Arva Intelligence

AI Software Engineer

Houston, TX · Remote

$115K - $145K/yr

AI frameworks - Building agentic and LLM applications with tools like Amazon Bedrock, LangGraph and ... remote sensing, climate, energy, or environmental markets. About Arva Intelligence Arva is a ...

Wsgr

Principal Solutions Engineer

Austin, TX · On-site +1

This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ... e.g., CRM, business intelligence tools, legal platforms, marketing automation systems, and ...

Electric Power Engineers

Business Analyst

Austin, TX · On-site +1

... energy intelligence. For more than half a century, Electric Power Engineers (EPE) has partnered ... This position will be remote US or Canada Travel : Occasional travel may be needed (10% or less ...

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Remote Amazon Business Intelligence Engineer information

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.

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

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

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

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

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

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

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

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

Remote Amazon Business Intelligence Engineer jobs near you

Business Intelligence Senior Analyst, Information Technology

ServiceLink

Plano, TX • On-site, Remote

Full-time

Re-posted 10 days ago

ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

Overview

Are you motivated to leverage your unique skills and experience to impact the business value of a company trusted by the nation's strongest lending institutions. Take your experience to the next level in ServiceLink, the unrivaled leader in the mortgage industry, seeks an action-oriented individual with expert knowledge to drive architecture of data analytics in the position of Business Intelligence Senior Analyst.  If you thrive on collaborating and mentoring within a high performing team in a fast-paced environment, we encourage you to apply today. The ideal candidate will be responsible for Enterprise Reporting/Advanced Analytics in Automation projects starting with gathering and defining the initial requirements Dashboard Development, Testing, Implementation, and Support. The successful candidate must also have the ability to effectively communicate with both business and technical leadership.

This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week.  Candidates must be located within reasonable commuting distance of this office and be willing to work in-office on a regular basis.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

   

Key responsibilities

 

  • Design and develop Power BI dashboards and reports using best practices.
  • Build and maintain semantic models that support self-service analytics.
  • Work with business leaders to determine data and reporting needs.
  • Partner with business stakeholders to translate requirements into actionable KPIs.
  • Provide ad-hoc reporting in a fast-paced environment with very short deadlines.

WHO YOU ARE

   

You possess ...

 

  • A bachelor's degree plus 3 years minimum equivalent experience in Data Analytics and executive level dashboarding.
  • Python skills for articulating data engineering required for analytics.
  • Experience with data ingestion, transformation, automation, working with REST APIs, and building pipelines.
  • The ability to work with multiple groups from both business and technology.
  • The demonstrated ability to synthesize clear requirements from user inputs.
  • The Ability to receive, prioritize and complete tasks from multiple sources with minimal supervision.
  • Expert knowledge of Excel, including formulas and macros.
  • A strong desire to learn new technologies and improve your skills.
Responsibilities
  • PowerBI analytics design and development for executives, including:
  • Semantic modeling
  • DAX measures and calculations
  • Power BI Service (apps, workspaces, RLS, deployment pipelines)
  • Statistical analysis and forecasting
  • Automation of reporting and pipelines
  • Integrate data from SQL Databases and Fabric Data Lake
  • Data transformations using Python (pandas, NumPy, scikitlearn)
  • Building and automating ETL/ELT workflows using Python
  • Using Python for API integration (requests, aiohttp)
  • Processing diverse file formats-including JSON, CSV, Parquet, Delta-via Python
  • Optimizing Python code for performance and handling large datasets efficiently
    • Define and own the enterprise analytics architecture while building semantic models, data marts, reporting layers.
    • Establish best data modeling practices which are performance oriented and drive the roadmap for self service analytics.
    • Architect and deliver executive level dashboards which might include complex DAX measures, composite models and Direct query usage.
    • Workspace strategy and cost optimization techniques are needed when designing the semantic models.
    • Heavy usage of python services that could architect data engineering, statistical modeling and forecasting.
    • Work with business leaders to determine data and reporting needs.
    • Intense knowledge of cloud architecture and familiar with best design practices.
    • Perform all other duties as assigned.
    Qualifications
    • Bachelor's Degree plus 3 years minimum equivalent experience in Data Analytics and executive level dashboarding.
    • Ability to work with multiple groups from both business and technology.
    • Demonstrated ability to synthesize clear requirements from user inputs.
    • Comfortable in demonstrating reports and presenting analysis to executives and managers.
    • Expert knowledge of Excel, including formulas and macros.
    • General understanding of relational and non-relational databases and SQL queries.
    • Experience with a language such as R or Python is a plus.
    • Ability to receive, prioritize and complete tasks from multiple sources with minimal supervision 
    Employment Type: FULL_TIME

    What ServiceLink employees say

    Pay

    Benefits

    Hours and flexibility

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