Manager, BI

Job Description

Amazon is looking for a Business Intelligence Manager to join Finance & Global Business Services to lead a team responsible for defining, building and executing our end to end analytics solutions. Within our team, we enjoy a unique vantage point into everything happening within Amazon. This role leads a team that is responsible for automating the company s enterprise-wide financial planning & analytics environment providing strategic analytical support to Amazon s CFO and executive team (S-team).The ideal candidate will lead a team to deliver company-wide finance analytic projects that change how Amazon consumes, stores, and analyzes financial data. The candidate will have a track record of building teams that span both business and technical competencies, gathering business requirements and creating analytics solutions that have measurable customer impact. This individual will be a strong and inspirational leader to raise the bar on hiring, developing and retaining the best talent to continue to build our world class analytics team.This opportunity is a great fit for someone with prior experience in Business Intelligence requirements gathering, metadata modeling, report authorship and end user training and is eager for an opportunity to contribute to all aspects of an enterprise-scale data & analytics software system.If you re passionate about building teams and tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!In this role, you will This Business Intelligence Manager will help identify and drive process improvements and efficiencies that will benefit all finance teams across the company. Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions. Hire, manage, coach and lead a high performing team of Business Intelligence Engineers Partner with peer engineering teams to define the data elements and data structure that the team should leverage to enable analytical capabilities. Design, implement, and support platforms that provide business teams standardized and ad-hoc access to large datasets (eg data visualization tools for non-tech business users) Interface with business customers, gathering requirements and delivering complete reporting solutions. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Participate in strategic & tactical planning discussions. Standardize data and report consumption across all customer groups. Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics. Be connected and influential within the Amazon BI community. Work with Data engineering, Software development teams to enable the appropriate capture and storage of key data points. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. 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 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur 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 GrowthOur 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., Experience managing Business Intelligence Engineers, Data Engineers, Data Scientists, and/or Business Analysts Bachelors degree in Mathematics, Statistics, Economics, Engineering, or a related business/analytical disciplines 5+ years of industry experience in Business Intelligence, Data Science, Data Engineering, Software Development, or related field with a track record of producing actionable business insights from large datasets Hands-on experience with SQL and data visualization tools (e.g. QuickSight, Cognos, Tableau, Power BI) Excellent communication skills to summarize insights and recommendations to audiences of varying levels of technical sophistication Ability to navigate ambiguity to develop and champion new ideas and creative solutions Ability to lead successfully in a dynamic, fast-paced environment Ability to manage team to meet tight deadlines and prioritize workloads MBA or Master s degree in Mathematics, Statistics, Economics, Engineering, or a related business/analytical disciplines 8+ years of experience managing Business Intelligence Engineers, Data Scientists, and/or Business Analysts Experience working with AWS big data technologies (Redshift, S3, EMR) High attention to detail and proven ability to manage multiple priorities simultaneously. Ability to lead a team to deliver a project/program from scoping requirements through actual launch Demonstrated ability to write complex, optimized SQL queries across large data sets Proficiency in at least one programming language used for data science such as Python, R, etc. Knowledge of various machine learning techniques and key parameters that affect their performance A history of teamwork and willingness to roll up one s sleeves to get the job done Ability to work on a diverse team or with a diverse range of coworkersAmazon 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.

Keyskills :
sql queriesdata scienceaffinity groupsuser trainingmusic makingbig datamachine learninglife cycledata engineeringequipment supply