The Washington Post · 5 hours ago
Staff Data Analyst, Analytics Capabilities
The Washington Post is on a mission to deliver riveting storytelling for all of America. As a Staff Data Analyst, you will lead data initiatives to drive audience growth, engagement, retention, and monetization through actionable insights and collaboration with various departments.
Newspapers
Responsibilities
Drive deep analysis of audience behavior across platforms (web, app, newsletters, video, social, etc)
Develop and refine customer segmentation frameworks to inform content strategy and personalization
Analyze customer journeys to optimize acquisition, onboarding, engagement, retention, and reactivation
Build lifetime value (LTV) models and customer propensity models
Develop and maintain content performance dashboards and reporting to surface actionable insights
Analyze content consumption patterns to inform editorial strategy, content formats, and programming decisions
Partner with editorial, product, and marketing teams to test and optimize content strategies
Identify trends in audience preferences and emerging content opportunities
Serve as a trusted thought partner to leaders across Content, Product, Marketing, and Revenue teams
Translate complex analytical findings into clear business recommendations
Present insights and influence senior leadership on customer and content strategy
Mentor and coach junior analysts on advanced techniques and best practices
Help define and measure key KPIs for audience engagement, content success, and customer value
Advocate for improvements in data collection, tagging, and experimentation frameworks
Partner with Data Engineering and Product teams to ensure high data quality and instrumentation coverage
Explore and test new analytical approaches (e.g., causal inference, behavioral clustering, NLP for content tagging)
Leverage tools like SQL, Python, R, Tableau, and other BI platforms
Qualification
Required
Education: Bachelor's or master's in data science, Statistics, Business Analytics, or related field
Experience: 6+ years of experience in data analytics, with significant focus on customer and content in subscription businesses
Expertise in SQL, Python, and data visualization tools (e.g., Tableau, Power BI)
Expertise in relational Database Systems, Advanced SQL and Microsoft Excel. Experience with MySQL on cloud or AWS Redshift
Experience with data science and AI frameworks such as TensorFlow, PyTorch, or Hugging Face
Strong ability to translate AI outputs into business-relevant insights and strategic recommendations
Excellent communication and collaboration skills across technical and non-technical stakeholders
Preferred
Experience in media, publishing, streaming, ecommerce, or content-driven businesses
Experience operationalizing AI models within business intelligence tools or self-service platforms
Proven track record of developing or scaling AI-powered agents or insight generation systems
Familiarity with LLMs, retrieval-augmented generation (RAG), and generative AI applications in analytics
Knowledge of data governance, privacy, and ethical considerations when deploying AI in enterprise environments
Experience mentoring and developing other analysts
Benefits
Competitive medical, dental and vision coverage
Company-paid pension and 401(k) match
Three weeks of vacation and up to three weeks of paid sick leave
Nine paid holidays and two personal days
20 weeks paid parental leave for any new parent
Robust mental health resources
Backup care and caregiver concierge services
Gender affirming services
Pet insurance
Free Post digital subscription
Leadership and career development programs
Company
The Washington Post
The Washington Post is an award-winning news leader whose mission is to connect, inform, and enlighten local, national and global readers with trustworthy reporting, in-depth analysis and engaging opinions.
H1B Sponsorship
The Washington Post has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (16)
2023 (15)
2022 (16)
2021 (22)
2020 (20)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-10-07
2025-10-06
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