Role at a glance
- Job function
-
AI & Data Data Analytics
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Sunnyvale, California, United States Bellevue, Washington, United States
- Work arrangement
- On-site
- Experience
- Basic Qualifications - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Business Intelligence Engineer supports data and business intelligence for Ring SMB and Key for Business North America Multifamily. The role develops data platforms, reporting, analytics, and AI-assisted workflows for business stakeholders.
What You'll Do
- Design and support data platforms that provide ad hoc and scheduled access to large datasets.
- Use SQL and ETL pipelines to analyze database data, and Python or UNIX scripts to process log and telemetry data.
- Develop analytical tools, dashboards, reporting surfaces, and executive metric visualizations.
- Deliver weekly, monthly, and quarterly executive reporting with data analysis and narrative insights.
- Monitor and develop business metrics, perform deep dives and root-cause analyses, and lead lifetime-value analyses for promotional...
- Work with stakeholders and engineering teams on metric definitions, data fidelity, data governance, and the team's production AI agent...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar; experience with Tableau, QuickSight, or similar visualization tools; data modeling, warehousing, and ETL pipelines; statistical analysis packages such as R, SAS, and Matlab; SQL and Python scripting for data retrieval and modeling. Preferred: AWS solutions including EC2, DynamoDB, S3, and Redshift; data mining, ETL, and databases in business environments with large-scale, complex datasets.
Required
- 3+ years analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
- Data visualization using Tableau, QuickSight, or similar tools
- Data modeling, warehousing, and ETL pipelines
- Statistical analysis packages such as R, SAS, and Matlab
- SQL to pull data from a database or data warehouse, and Python scripting to process data for modeling
Preferred
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are looking for a Business Intelligence Engineer to join our Key Data & BI team and help inform the direction of Ring SMB and Key for Business through data, at scale. This role spans two high-impact business verticals — Ring SMB and KfB NA-Multifamily — and sits at the center of the team’s AI-first transformation, where production AI agents, automated ETL workflows, and AI-assisted analytics are how work gets done today.
Successful candidates will be comfortable creating and optimizing table structures, identifying KPIs that drive the business, generating reports consumed across the organization, analyzing data to inform strategic and tactical initiatives, and writing up findings for less-technical audiences. Strong SQL is a must. AI fluency, scripting skills, and a background in operations or product analytics are extremely valuable.
This is a highly visible role that partners with business, product management, operations, finance, marketing, and engineering teams across Key for Business and Ring SMB
Key job responsibilities
• Design, implement, and support data platforms providing ad hoc and scheduled access to large datasets
• Manipulate and mine data from database tables (Redshift, MySQL, QuickSight SPICE) using SQL and ETL pipelines; write scripts (Python, UNIX) to process log files and telemetry data at scale.
• Develop and own analytical tools including deep-dive tools, dashboards (QuickSight, Tableau), Page 0 reporting surfaces, and executive-ready metric visualizations.
• Own and deliver weekly (WBR), monthly (MBR), and quarterly (QBR) executive reporting with data pulls, narrative insights, and metric deep dives
• Monitor existing metrics, develop and propose new metrics, and identify actionable risk signals
• Lead LTV analyses to inform promotional strategy, campaign measurement, and business decisions
• Perform deep-dives and root cause analysis to answer business questions; complete ad hoc data retrieval and analysis for product, finance, marketing, and operations stakeholders.
• Work with cross-functional stakeholders to define the source of truth for business metrics and obsessively ensure data fidelity across verticals.
• Effectively communicate (written and verbal) analytical findings, solutions, and methodologies to senior leadership and less-technical audiences.
• Work with engineering teams to enable appropriate capture and storage of data, including PII/non-PII data governance and compliance.
• Create and contribute to the team’s production AI agent ecosystem by feeding accurate datasets, metric definitions, and knowledge base content to agents
• Support metric framework development and provide foundational BI signals
• Leverage and extend AI-assisted workflows for automated ETL, TextQL for ad-hoc analysis, and the Skill Markdown Methodology for encoding domain knowledge into AI agents.
Basic Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.