Business Intelligence Analyst, Strategy and Operations

US, MA, Virtual Location - Massachuset

Full Time Senior-level / Expert USD 133K - 181K
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Job summary
For more than 15 years, Amazon Web Services, AWS has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 200 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure. Within the AWS Sales and Marketing organization, the Specialized Sales Operations team is responsible for supporting Leadership, Sales, and Operational teams in achieving organizational objectives and driving continuous improvements in field productivity. We drive effectiveness, predictability, and deliver a “run the business” cadence that allows for the field to serve customers in the way customers want to be served.

The AWS WW Specialized Organization, Strategy & Operations team (WWSO) is looking for a results-oriented Strategy & Operations Analyst to join the Strategy & Operations team that supports Solution Architecture teams across the organization.

The candidate will have strong communication skills, proven data skills in defining, building and scaling analytical insights, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

Roles & Responsibilities:
  • Develop global dashboards to support WWSO SA organization and produce insights that are timely, accurate, and actionable. You will also drive operational excellence through optimization of data models.
  • Work backwards from the Solution Architect leaders to gather business requirements & deliver insightful analytics solutions based on key metrics and KPIs for business.
  • Translate business questions into actionable & insightful dashboards, analyses & decks that are intuitive making it easy for the business stakeholders to understand how to action.
  • Own the development and maintenance of new and existing reporting dashboards.
  • Design and implement data models using large-scale, high-volume, high-performance data to produce global intuitive self-service dashboards, visualizations and advanced analyses.
  • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
  • Build relationships across Amazon, working with other analytics and data teams for insights and best practice sharing.
  • Partner with the Business Intelligence and Data Engineering team to drive data requirements and infrastructure design decisions.
  • Invent & innovate through rich visualizations in Tableau/Amazon Quicksight that tell the story of business trends, patterns & outliers.
  • Work in a global environment.

Location: U.S. city with AWS corporate office.


About the team
About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

Basic Qualifications


  • Bachelor's Degree in Engineering, Economics, Finance, Computer Science, Mathematics, or other related discipline (e.g. STEM programs)
  • 5+ years of experience in Data Analytics for Business Insights or Business Intelligence purposes
  • Advanced proficiency in SQL and Excel (including VBA, Macros, Pivot Tables, array functions, Power Pivots, etc)
  • 5+ years experience with data visualization tools such as Tableau, Power BI, or AWS QuickSight
  • 5+ years experience using data to solve complex problems
  • Clear communications - written (narratives as well as data visualizations) and verbal (i.e. ability to present findings and convince others)
  • Experience working in a fast-paced, technology company

Preferred Qualifications

  • Masters Degree in Analytics, Data Science or related field
  • 6+ years of Experience in Advanced Data Analytics
  • 6+ years of Operations Analytics, Finance Analytics, Business Intelligence
  • Experience presenting analytics insights to Sr. Leadership
  • Advanced expertise in SQL, working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction record.

The pay range for this position in Colorado is $133,875 - $181,125/year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon’s internal or external careers site.



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.

Tags: Analytics AWS Big Data Cross-functional Data visualization Excel KPIs Power BI Project Management SQL Tableau

Perks/benefits: Career development Conferences Salary bonus Signing bonus Startup environment

Region: North America
Job stats:  4  3  0
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