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The Washington Post

Staff Data Analyst, Analytics Capabilities

The Washington Post, Washington, District of Columbia, us, 20022

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Staff Data Analyst, Analytics Capabilities

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The Washington Post

Overview We’re on a mission to deliver riveting storytelling for all of America. At The Washington Post, you’ll help reinvent news through a deep investigative spirit and innovation that brings audiences closer to the stories that matter most.

About Our Team The Washington Post is powered by the passion and talent of our people. We work across many departments, including Brand & Events, Communications, Customer Care, Engineering & Product, Finance, Human Resources, Legal, Marketing & Advertising, Print Operations, and Sales.

Why This Role Matters The DAI (Data, Analytics & Insights) department drives strategic and operational decisions. This highly visible team applies data, analytics, and research to support initiatives and day‑to‑day operational support company‑wide.

Responsibilities

Lead data initiatives to unlock actionable insights that drive audience growth, engagement, retention, and monetization.

Collaborate with newsroom, product, marketing, engineering, advertising, and finance departments on projects that impact the company strategically.

Build reports, conduct data analysis, and provide actionable recommendations to stakeholders.

Take mountains of data, transform it into meaningful analysis aimed at identifying solutions and opportunities.

What Motivates You

The ideal candidate is passionate about using data to solve the unique challenges of content‑based businesses.

Passion for advancing AI to drive smarter, faster analytics solutions.

Motivated to translate complex data and AI models into actionable business insights.

Eager to shape the future of data‑driven decision‑making by integrating cutting‑edge AI capabilities.

Driven to elevate analytics maturity within an organization by embedding AI into core workflows.

How You’ll Support The Mission Audience & Customer Analytics

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.

Content Performance Analytics

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.

Cross‑functional Leadership

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.

Data Excellence & Innovation

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).

Tools & Technologies

Leverage tools like SQL, Python, R, Tableau, and other BI platforms.

Minimum Qualifications

Education: Bachelor’s or master’s in data science, Statistics, Business Analytics, or related field.

Experience: 6+ years in data analytics with a focus on customer and content in subscription businesses.

Skills & Expertise:

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 Qualifications

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.

Collaboration Our offices are designed with open layouts, modern technology, and easy access to transportation. With certain exceptions for newsgathering and business travel, we work on‑site five days a week.

Compensation And Benefits Wherever you are in your life or career, The Washington Post offers comprehensive and inclusive benefits for every step of your journey:

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

The salary range for this position is: $119,700 - $199,300 Annual This will depend on individual skills, experience, and qualifications. The position may be eligible for a bonus or incentive program. A Talent Acquisition team member will discuss bonus payment terms during the interview process.

Apply Today Your story awaits. Apply today! Learn more about The Post at

careers.washingtonpost.com .

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