DescriptionAre 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 AWS’s most complex business problems through data?We’re 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 teamAbout AWSDiverse ExperiencesAWS 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.Why AWS?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.Inclusive Team CultureHere 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.Mentorship & Career GrowthWe’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.Work/Life BalanceWe 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.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.We are open to hiring candidates to work out of one of the following locations:Austin, TX, USA | Dallas, TX, USA | Seattle, WA, USABasic 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.