Description Ring is seeking an insightful and analytical Business Intelligence Engineer with strong business and technical skills to join our growing Ring Software and Services BI Organization. In this role, you will work with various executive, product management, engineering, finance, logistics, sales, and marketing teams. Your work will support our mission of making neighborhoods safer, be highly visible to leadership, and drive key strategic company goals. Key job responsibilities Enable decision-making by conducting analyses from multiple sources to present research in a digestible and actionable format. Analyze large data sets using a variety of query and visualization tools. Provide technical expertise in integrating and analyzing critical data. Anticipate, identify, structure, and solve critical problems. Design and develop key performance metrics and indicators using standardized and custom reports. Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases. Provide mentorship and coaching for embedded analysts and other business teams. Clearly communicate any potential discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and resolution date to a large end-user base. Work with subject matter experts to document and translate business requirements into technical requirements. Manage multiple projects and proactively communicates issues, priorities, and objectives. Work with subject matter experts to document and translate business requirements into technical requirements. A day in the life You will develop executive dashboards, run ad hoc analysis focussing on growth, and build a data quality framework. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics. You will be structuring ambiguous problems and designing analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements to marketing campaign optimization, customer servicing trending, and research About the team The RSS BI Team is focussed on providing end to end data solutions for Ring subscriptions and product teams. Our goal is to provide data driven solutions that would eventually help our subscription and product teams to roll out best in class services for our customers 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

**Become a part of our caring community and help us put health first** The Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. **Use your skills to make an impact** **Required Qualifications** + At least 2 years developing and troubleshooting SQL queries (scripts, stored procedures, joins, CTEs, etc.) + Minimum of 2 years of experience in business intelligence, data analysis, quality, or related field + Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Teams, and PowerPoint + Expertise in assessing complex data sets and performing root cause analysis + Must be passionate about contributing to an organization focused on continuously improving data processes **Preferred Qualifications** + Data visualization experience using Power BI, Tableau, or other application + Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field + Experience with Medicare contracts and healthcare financial data + Cloud solutions experience (Snowflake, Azure, etc.) + In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc. + Experience with data mining and data visualization + Ability to use data to drive business outcomes and decisions **Additional Information** **Alert:** Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana's secure website. **Interview Format: HireVue** As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. **Work at Home Statement** To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information #LI-BL1 **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$65,000 - $89,500 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. **About us** About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient's well-being.About CenterWell, a Humana company: CenterWell creates experiences that put patients at the center. As the nation's largest provider of senior-focused primary care, one of the largest providers of home health services, and fourth largest pharmacy benefit manager, CenterWell is focused on whole-person health by addressing the physical, emotional and social wellness of our patients. As part of Humana Inc. (NYSE: HUM), CenterWell offers stability, industry-leading benefits, and opportunities to grow yourself and your career. We proudly employ more than 30,000 clinicians who are committed to putting health first - for our teammates, patients, communities and company. By providing flexible scheduling options, clinical certifications, leadership development programs and career coaching, we allow employees to invest in their personal and professional well-being, all from day one. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana?to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Centerwell, a wholly owned subsidiary of Humana, complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our full accessibility rights information and language options https://www.partnersinprimarycare.com/accessibility-resources

Job ID: 2627312 | Amazon Data Services, Inc.
As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services ADC Infrastructure Operations organization.

The ADC Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. This role will be instrumental for upcoming logistics work. A background in inventory, supply chain or logistics is advantageous, but not required.

You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization.
You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements.

Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community. You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.

This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.

Key job responsibilities
- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop.
- Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.
- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.
- Experience in building presentation layers for reporting dashboards in SQL.
- Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform.
- Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.
- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations.
- Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.
- Excellent communication skills, verbal and written. - Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.

About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We are open to hiring candidates to work out of one of the following locations:

Denver, CO, USA | Herndon, VA, USA | Seattle, WA, USA
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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Current, active US Government Security Clearance of TS/SCI or above
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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: June 12, 2024 (Updated 1 day ago)
Posted: April 19, 2024 (Updated 9 days ago)
Posted: April 22, 2024 (Updated 23 days ago)
Share this job Important FAQs for current Government employees Before proceeding, please review the following FAQs
https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Description Are you excited about the cloud computing industry and leveraging cutting edge data analytics technologies and methodologies? Are you interested in driving business decisions through data analysis, reporting, and KPIs? Do you want to work on a team of Business Intelligence Engineers, and Data Engineers to solve AWSs most complex business problems through data? Were looking for someone who possesses a solid BI engineering background, familiar with maintaining large data sets, building the datasets needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. In this role, you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders, Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership, collaboration, and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change. Key job responsibilities - Work directly with the models/data. Work with large data sets and the technical tools needed to work with them - Manage complex, manual, revenue routing processes to ensure revenue is reported accurately - Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python. - Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts - Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes - Use analytical and statistical rigor to solve complex problems and drive business decisions - Drive towards simple, scalable solutions to difficult problems - Project-manage multiple workflows and communicate complex analytical results, both written and verbally - Work with key business stakeholders to understand requirements and shape analytical deliverables - Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. About Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Basic Qualifications - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business - Experience with forecasting and statistical analysis - Experience with AWS solutions such as EC2, DynamoDB, S3, Redshift, Bedrock, and Lambda - Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights - Experience with statistical tools, such as R, SAS, or Python. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description Are you excited about the cloud computing industry and leveraging cutting edge data analytics technologies and methodologies? Are you interested in driving business decisions through data analysis, reporting, and KPIs? Do you want to work on a team of Business Intelligence Engineers, and Data Engineers to solve AWSs most complex business problems through data? Were looking for someone who possesses a solid BI engineering background, familiar with maintaining large data sets, building the datasets needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. In this role, you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders, Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership, collaboration, and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change. Key job responsibilities - Architect and develop scalable and resilient data solutions for real-time and batch processing, enabling self-service business intelligence for analytics users. - Build ETL pipelines, statistical models, and machine learning solutions using large, multidimensional datasets to uncover trends, patterns, and opportunities. - Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes - Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly. - Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress. - Perform complex analyses to inform product strategy, design, and business priorities, presenting insights and recommendations to senior leadership. - Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance. - Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities. - Stay up-to-date with industry trends and best practices, contributing to the team's evolution through code reviews, design discussions, and knowledge sharing. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasnt followed a traditional path, or includes alternative experiences, dont let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, theres nothing we cant achieve in the cloud. About Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Basic Qualifications - 10+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Master's degree in statistics, data science, or an equivalent quantitative field - Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc. - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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Business Intelligence Engineer Jobs in Denver, CO

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