招聘

Insights and Analytics Manager, Reputation & Content Strategy
Seattle, WA, USA
·
On-site
·
Full-time
·
1w ago
Amazon is seeking an Insights and Analytics Specialist to support measurement, reporting, and data analysis across Amazon's internal communications channels. In this role, you will execute analytics projects, build dashboards, and provide data support to communications leaders, channel owners, editors, and event managers. You will work closely with the Insights and Analytics Manager to translate data into actionable insights that improve content performance and audience engagement.
The ideal candidate combines strong technical analytics skills with clear communication abilities. You are detail-oriented, curious about audience behavior, and passionate about using data to solve problems. You thrive in a fast-paced environment, can manage multiple projects simultaneously, and work backwards from stakeholder needs. You have hands-on experience with data visualization tools, Excel, SQL, and AI-assisted and agentic AI development tools (e.g., Kiro, Cursor, Claude Code) and can translate complex data into clear, digestible insights for non-technical audiences.
Key job responsibilities
- Analytics Execution & Reporting
- Build and maintain dashboards, reports, and analyses that demonstrate the impact of internal communications across channels
- Execute weekly, monthly, and quarterly reporting on communications performance metrics and audience insights
- Support ad-hoc analytics requests from channel leads, editorial teams, and stakeholders
- Monitor channel performance and flag trends, anomalies, or opportunities to the Insights and Analytics Manager
- Data Support & Enablement
- Partner with channel and editorial leads to help them understand their audience data and performance metrics
- Support A/B testing and experimentation efforts by setting up tests, tracking results, and analyzing outcomes
- Educate communications team members on how to use self-service analytics tools and interpret their data
- Create documentation and training materials for data tools and reporting processes
- Cross-Functional Collaboration
- Work with Product and Tech teams to improve data quality, tagging, and tracking capabilities
- Collaborate with channel and editorial leads to define metrics that accurately measure content impact
- Partner with internal research teams to incorporate audience insights into reporting
- Support the Insights and Analytics Manager on strategic projects and deep-dive analyses
- Continuous Improvement
- Identify opportunities to automate reporting and improve data workflows
- Stay current on digital analytics trends and best practices
- Recommend improvements to measurement frameworks and data collection methods
- Contribute to the team's analytics roadmap and capability-building efforts
A day in the life
You start your morning monitoring channel metrics, flagging engagement patterns to your manager. Mid-morning, you're training the editorial team on their new dashboard, explaining audience trends and how to filter by employee segments.
After lunch, you set up an A/B test for an email campaign and troubleshoot data tagging issues with the Product team. The afternoon is dedicated to pulling SQL queries, updating automated dashboards, tuning up AI agents, and drafting your weekly performance summary with key insights.
You wrap up by documenting self-service analytics tools for channel owners and reviewing the quarterly roadmap, identifying reports to automate and proposing new impact metrics.
About the team
Internal Corporate Communications operates as Amazon's central source for internal company news and events, reaching a global audience of corporate employees. Our team develops and delivers news, announcements, and strategic communications that help employees understand Amazon's business, culture, and workplace, balancing information employees want with information they need to know.
Basic Qualifications
- Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python), or experience in Excel (macros, index, conditional list, arrays, pivots, lookups)
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
- Experience using data and metrics to determine and drive improvements
- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of experience in digital analytics, business intelligence, or data analysis
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science) or equivalent experience
Preferred Qualifications
- Experience in media, publishing, communications, or content analytics
- Hands-on experience with A/B testing methodologies and statistical analysis
- Familiarity with audience measurement tools and web analytics platforms
- Hands-on experience with SQL and A/B testing; familiarity with Python/R, AWS data storage solutions, and AI-assisted development tools (e.g., Cursor, Kiro, GitHub Copilot) is a plus
- Experience in internal communications or employee engagement analytics
- Proven ability to translate complex data into clear, actionable insights for non-technical stakeholders
- Strong project management skills with ability to manage multiple priorities
- Track record of being detail-oriented and self-motivated
- Experience creating documentation and training materials for analytics tools
- Skilled at data visualization and dashboard creation (e.g., Tableau, AWS Quicksight, Power BI) to translate complex analytics into clear, actionable insights
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, VA, Arlington - 80,600.00 - 141,100.00 USD annually
USA, WA, Seattle - 82,700.00 - 141,100.00 USD annually
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关于Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L4
0份报告
$181,968
年薪总额
基本工资
-
股票
-
奖金
-
$154,672
$209,264
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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