πΉ Job Title: AWS Partner Marketing - Senior Analytics Leader, Partner Marketing, Global Operations
πΉ Company: Amazon
πΉ Location: Multiple locations (Seattle, WA; Santa Monica, CA; New York, NY; Chicago, IL; San Francisco, CA; Dallas, TX)
πΉ Job Type: Full-time
πΉ Category: Marketing
πΉ Date Posted: 2025-04-23
πΉ Experience Level: 10+ years
πΉ Remote Status: Remote OK
Key aspects of this role include:
ASSUMPTION: This role requires a high level of technical expertise in data engineering and strategic business intelligence, as well as strong leadership and communication skills to work effectively with various stakeholders.
β Own and evolve the Global Analytics Hub, serving 300+ AWS leaders including 200+ PMMs/vPMMs
β Drive measurement strategy for key business areas including Generative AI, Strategic Workloads, Marketplace, Public Sector, and Migration & Modernization initiatives
β Partner with GCIPM Operations to align lead flow results for executive reporting (WBR, QBR, OP1, OP2, goal setting)
β Represent Partner Marketing analytics in cross-functional initiatives and present at All Employee calls
β Lead monthly Everboarding sessions to enable 200+ PMMs/vPMMs on analytics capabilities
β Design and implement data integration solutions across multiple systems (SFDC, AMPS, APFP, ACE, JMP, etc.)
β Build and maintain scalable data pipelines to process partner marketing data
β Integrate tools built in Smartsheet (e.g., Joint Marketing Plans) with enterprise systems
β Develop automated reporting solutions for major events (re:Invent, Summits)
β Ensure data quality and governance across all analytics solutions
β Automate manual data integration functions such as weekly manual attribution and partner coverage
β Create and maintain executive-level dashboards and reports
β Drive attribution modeling for critical strategic initiatives
β Analyze partner marketing performance metrics to identify growth opportunities and business insights
β Support $20B+ lead flow results measurement and optimization
β Enable data-driven decision making across Partner Marketing globally
ASSUMPTION: This role requires a strong understanding of partner marketing strategies and a proven track record in driving data-driven decision making in a global organization.
Education: Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related discipline). A Master's degree would be a plus.
Experience: 10+ years of experience in data engineering, analytics, or a related field, with at least 5 years in a leadership role.
Required Skills:
Preferred Skills:
ASSUMPTION: Candidates with experience in the tech industry and familiarity with AWS services will have a significant advantage in this role.
Salary Range: $150,000 - $250,000 per year (based on industry standards for a senior analytics role in the tech industry)
Benefits:
Working Hours: Full-time (40 hours per week), with flexible work arrangements available
ASSUMPTION: The salary range provided is an estimate based on industry standards and may vary depending on the candidate's experience and location.
Industry: Amazon is a multinational technology company that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook.
Company Size: Amazon is a large company with over 1.6 million employees worldwide. This size allows for ample opportunities for career growth and development.
Founded: Amazon was founded in 1994 by Jeff Bezos and is headquartered in Seattle, Washington.
Company Description:
Company Specialties:
Company Website: https://www.aboutamazon.com/
ASSUMPTION: Amazon's size and diverse business segments provide a dynamic and innovative work environment for employees.
Career Level: Senior-level role with significant leadership and strategic responsibilities
Reporting Structure: This role reports directly to the Global Partner Marketing Operations team and collaborates with various cross-functional teams, including AWS leaders, PMMs, and vPMMs.
Work Arrangement: This role is remote-friendly, with the option to work from one of Amazon's global offices or from home.
Growth Opportunities:
ASSUMPTION: This role offers significant growth potential for the right candidate, with the opportunity to make a substantial impact on Amazon's partner marketing strategies.
Office Type: Amazon has multiple office locations worldwide, with the option for employees to work remotely or from one of these offices.
Office Location(s): Seattle, WA; Santa Monica, CA; New York, NY; Chicago, IL; San Francisco, CA; Dallas, TX
Geographic Context:
Work Schedule: Full-time (40 hours per week), with flexible work arrangements available
ASSUMPTION: The location for this role is flexible, with the option to work from one of Amazon's global offices or from home. The chosen location may impact the cost of living and commuting expenses.
Typical Process:
Key Assessment Areas:
Application Tips:
ATS Keywords: Data engineering, analytics, partner marketing, AWS, leadership, strategic planning, business acumen, cross-functional collaboration, data-driven decision making
ASSUMPTION: The interview process for this role may vary depending on the specific needs of the hiring team and the candidate's qualifications.
ASSUMPTION: Familiarity with AWS services and tools is highly desirable for this role, as the candidate will be working with AWS data and collaborating with AWS teams.
Company Values:
Work Style:
Self-Assessment Questions:
ASSUMPTION: Candidates who demonstrate a strong fit with Amazon's leadership principles and work style will be more likely to succeed in this role.
ASSUMPTION: This role requires strong leadership, time management, and communication skills to overcome these potential challenges.
ASSUMPTION: This role offers a unique opportunity to work at the intersection of data engineering, analytics, and strategic business planning within a global organization.
ASSUMPTION: These sample projects demonstrate the candidate's ability to work on high-impact initiatives and drive business growth through data-driven decision making.
ASSUMPTION: Asking thoughtful questions demonstrates the candidate's interest in the role and commitment to driving business success.
To apply for this position:
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.