Find your next role
Discover amazing opportunities across our network of companies committed to gender equality in the workplace.
Sr. Business Inteligence Engineer; Workforce Analytics, AWS Industries Workforce Management
Amazon
Data Science
Seattle, WA, USA
Posted on Oct 17, 2024
DESCRIPTION
The AWS Industries organization supports large enterprise organizations with multi-national operations and decentralized IT decision making in their AWS journey. Adjacent to the AWS Industries organization, the Sales, Marketing, and Global Services (SMGS) Operations team is the driving force behind our commercial success. We are responsible for supporting our commercial Leadership, Management, and field teams in achieving our organizational objectives, delivering exceptional customer outcomes, and enabling continuous improvements in field productivity.
Inclusive Culture. Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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 remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Harmony. Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
Mentorship and 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.
The SMGS Ops Workforce Management Team for the AWS Industries Business Unit is seeking an Sr. Business Intelligence Engineer; Workforce Analytics with extensive experience in analytical thought leadership for a sales organization, leading development of analytic insight, strategic initiatives, revenue planning, sales forecasting and workforce analytics, and resource planning & forecasting. You should be passionate about continuous improvement, innovation, and providing actionable insights that enables leadership to look around corners using cutting edge technology. You should have excellent business acumen and communication skills, and be able to work with AWS business leaders to develop and define key business questions, then work backwards to deliver meaningful insights that answer those questions. Your deep analytic skills, strong business judgement, and focus on our core operational inputs will make you a critical partner to sales and sales operations leaders as you help them prioritize initiatives, identify gaps in processes, and remove barriers to execution. You should be excited about working with data, be driven to dive deep, and passionate about collaborating with Sales Leadership, Finance, Talent Acquisition, Human Resources, Data Engineer, Business Analysts, and Sales Operations teams.
Key job responsibilities
- Building cutting-edge workforce analytics solutions to optimize productivity, capacity planning, and performance
- Developing predictive models and data mining techniques to identify trends, opportunities, and risks across our global sales team
- Collaborating with sales, finance, HR, Talent Acquisition, and operations leaders to align on key business questions and deliver meaningful, action-oriented insights
- Develop a framework for the creation, tracking, and reporting of the revenue and headcount plans for the year.
- Create mechanisms and processes to support our field sales team by ensuring that we maximize their investment in time, mindshare, and resources while empowering them with the tools, time and focus to constantly exceed the expectations of end customers
- Support strategic initiatives from the analytical standpoint
- Partner with central economics, machine learning, data engineering, sales operations, finance and other analytics teams to ensure the most efficient and effective allocation of resources to tackle our team's agenda.
- Ensure that the quality and timeliness of analytic deliverables to meet and exceed the Sales Strategy & Operations team expectations
- Informed of revenue forecasting process, blending workforce data with sales pipeline information to provide accurate, dynamic projections
- Partnering cross-functionally to identify areas for process improvements and technology investments that remove barriers to sales execution
A day in the life
As the Sr. BIE; Workforce Analytics, your days are filled with partnering across the business to unlock insights that drive strategic decision-making. You might start by reviewing the latest sales forecasting models, identifying areas for improvement and preparing for a cross-functional meeting with sales, finance, and operations leaders. Throughout the day, you'll collaborate with your analytics team to build cutting-edge workforce planning and optimization solutions, testing new predictive algorithms and visualizing the results. You'll also carve out time to mentor junior team members and stay on top of the latest analytics trends and technologies. No two days are exactly alike, but your mission is constant - to be the strategic data and insights partner that empowers our sales organization to reach new heights.
About the team
ABOUT AWS:
Diverse Experiences
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.
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.
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, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
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.
Mentorship and Career Growth
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.
BASIC QUALIFICATIONS
- 7+ years of professional or military experience
- 5+ years of SQL experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with theory and practice of information retrieval, data science, machine learning and data mining.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with AWS technologies
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience programming to extract, transform and clean large (multi-TB) data sets
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 $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.