Experience Inc. Jobs

Description

Do you thrive on developing your team to build and leverage best in class data products and solutions to make high-judgement decisions ? Are you looking for a role where you can have a long-term impact on the technology and business? Do you want to play a key role in shaping the future of small business owners in Last Mile delivery? We are looking for an experienced hands-on technical leader to join Lastmile Delivery Service Partner (DSP) Analytics organization. This role will lead team of Business Intelligence Engineers (BIEs) to drive Data & Analytics for DSP Performance measurement and improvements.

As a Sr Business and Intelligence manager, this role will guide the data and analytics team to build and maintain data and reporting solutions, manage data infrastructure, develop and improve analytics products, simplify data access and unlock self-service insights. Through tooling, automation, data analysis and statistical modeling , their team will create solutions and feedback loops to continuously measure KPIs and empower Delivery Associates (DAs) and DSPs to improve their and customer’s experience, sentiment and quality.

Key job responsibilities

• Work with Product and Program managers, org leaders, SDMs, and Tech team members to to build relevant data products and solutions.

• Build a team of BIEs, DEs and Data Scientists to create and support datasets, metrics and KPIs to meet DSP business goals.

• In partnership with WW DSP Product & Offer and Transportation Experience orgs, develop relevant and defensible metrics and KPIs that drive and track business strategy.

• Define and develop data infrastructure, data products , dashboards and visualizations for key metrics and KPIs.

• Drive data governance (data integrity, metrics definitions, and single source of truths, accountability and documentation).

• Establish strategic partnership with business stakeholders, build team's 1YP/3YP vision and effectively communicate and drive key initiatives.

• Recruit, mentor, and lead a high-performing data team, fostering a culture of innovation, collaboration, and professional growth.

• Provide guidance, feedback, and performance evaluations to team members, driving their development and success.

• Stay updated with the latest technology trends, methodologies, and tools in Analytics, Data Engineering, and Data Science, recommending and implementing technologies that enhance insight capabilities and efficiencies.

About the team

We are the core Amazon DSP data analytics team with the vision to enable data, insights and science driven decision-making. We have exceptionally talented and fun loving team members. In our team, you will have the opportunity to dive deep into complex business and data problems, drive large scale technical solutions and raise the bar for operational excellence. We love to share ideas and learning with each other. We are a relatively new team and do not carry legacy operational burden. We believe in promoting and using ideas to disrupt the status quo.

Basic Qualifications

• Bachelor's degree

• 10+ yrs in Business Intelligence, Data Science, Data Engineering or Software Engineering role.

• 5+ years of experience hiring and leading a Data, BI or Science teams.

• Experience leading and influencing the data and BI strategy for their organization.

• Experience owning/driving roadmap strategy and definitions.

• Experience with feature delivery and tradeoffs of a product.

• Experience driving and contributing to engineering, technology and data product strategy decisions.

• Experience with SQL, Scripting/Programming (Python, R).

• 2+ years’ experience with Tableau, Looker or similar BI Reporting Platform.

• Experience with data modeling, warehousing and building ETL pipelines.

• Analytical and quantitative skills; experience using data and metrics to test and confirm assumptions, and measure success.

• Proven ability to identify, analyze, and solve ambiguous problems with an extreme attention to detail.

Preferred Qualifications

• Knowledge of product experimentation (A/B testing)

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

• Excellent written and verbal communication skills. Ability to simplify complex topics for broad audiences, as the role requires effective communication with colleagues from computer science, operations research and business backgrounds.

• Experience with AWS Tools and Technologies (Redshift, S3, Athena)

• Prior experience in customer sentiment analytics work

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,600/year in our lowest geographic market up to $265,400/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.