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Internship Amazon Business Intelligence Engineer Jobs in Georgia

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

... Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Business Intelligence (W2)

Atlanta, GA · On-site

$49 - $63.75/hr

Business Intelligence (BI) SME Location: Alpharetta, GA / Dallas, TX (Onsite) Note: No H1B We are seeking a Business Intelligence Subject Matter Expert (SME) with strong experience in Palantir and ...

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Internship Amazon Business Intelligence Engineer information

What does an Amazon Business Intelligence Engineer intern do?

An Amazon Business Intelligence Engineer Intern works with large datasets to help the company make data-driven decisions. They are responsible for collecting, analyzing, and visualizing data to uncover trends and insights that support business strategies. Interns typically use tools like SQL, Python, and business intelligence platforms to create reports and dashboards. Their work helps teams identify opportunities for growth and improve operational efficiency.

What are the key skills and qualifications needed to thrive as an Amazon Business Intelligence Engineer intern?

To thrive as an Internship Amazon Business Intelligence Engineer, you generally need strong analytical skills, proficiency in statistics, and a relevant educational background such as computer science, engineering, or mathematics. Familiarity with SQL, data visualization tools (like Tableau or QuickSight), and programming languages such as Python or R is commonly required. Strong communication, problem-solving abilities, and a collaborative mindset help interns present findings and work effectively within teams. These skills are crucial for transforming data into actionable insights that drive business decisions at Amazon.

What types of projects do Amazon Business Intelligence Engineer interns typically work on, and how do these projects contribute to the larger team goals?

Business Intelligence Engineer interns at Amazon often work on projects that involve analyzing large datasets, developing dashboards, and creating data models to support business decisions. These projects are designed to address real business challenges, such as optimizing supply chain operations or improving customer experience. Interns collaborate closely with engineers, data scientists, and business stakeholders, ensuring their work directly impacts team objectives and drives measurable results. This hands-on experience provides valuable exposure to Amazon's fast-paced and data-driven environment.

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

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

What are popular job titles related to Internship Amazon Business Intelligence Engineer jobs in Georgia?

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

What job categories do people searching Internship Amazon Business Intelligence Engineer jobs in Georgia look for?

The top searched job categories for Internship Amazon Business Intelligence Engineer jobs in Georgia are:

What cities in Georgia are hiring for Internship Amazon Business Intelligence Engineer jobs?

Cities in Georgia with the most Internship Amazon Business Intelligence Engineer job openings:

Business Intelligence Engineer

Atlanta, GA

Paciolan
Software Development • 201 - 500 employees

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Essential Duties & Responsibilities:

  • Build and scale business intelligence as a service, delivering insights that create measurable value for clients
  • Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
  • Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources
  • Lead client onboarding and act as a long-term analytics partner to participating organizations
  • Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis
  • Create data models and structures that power trusted, scalable analytics
  • Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
  • Proactively propose new analyses and help shape how insights are shared across clients and internal teams

Minimum Qualifications:

  • 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
  • Demonstrated experience in the ticketing/live events/sports space
  • Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
  • Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
  • A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories
  • A passion for building analytics that are not only accurate, but genuinely useful and actionable
  • Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

Preferred Qualifications:

  • Experience with Python or R for predictive, statistical, or categorical modeling
  • Familiarity with live entertainment, college athletics, or fundraising data
  • End-to-end data engineering experience (source warehouse visualization/export)
  • Experience with ETL tools and modern data stack patterns
  • Deep familiarity with Snowflake or similar cloud data platforms
  • Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

Pay Transparency:

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.