Full-Time

Senior Staff Data Analyst

Customer and Content

Posted on 9/15/2025

Washpost

Washpost

Compensation Overview

$144.6k - $241.1k/yr

+ Bonus + Incentive Program

Washington, DC, USA

In Person

Category
Data & Analytics (2)
,
Required Skills
Power BI
Python
MySQL
Data Science
SQL
Tableau
Business Analytics
Data Analysis
Excel/Numbers/Sheets
Requirements
  • Bachelor’s or master’s in data science, Statistics, Business Analytics, or related field.
  • 8+ 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.
  • Excellent communication and storytelling skills with the ability to translate data into business strategies.
  • Collect and manage project ideas, charters, project priorities, and project benefit. Ability to multitask, prioritize projects, and meet deadlines.
  • Proven ability to independently lead projects and deliver high-impact outcomes.
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.
Desired Qualifications
  • Experience in media, publishing, streaming, ecommerce, or content-driven businesses.
  • Familiarity with customer journey analytics, funnel optimization, churn modeling, and retention analysis.
  • Understanding of content taxonomies, metadata frameworks, and NLP applications in content analytics.
  • Experience working in cloud data environments (Snowflake, BigQuery, Redshift, etc.).
  • Background in experimentation (A/B testing, multivariate testing).
  • Experience with infusing AI into code-writing and day-to-day operations.
  • Experience mentoring and developing other analysts.

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INACTIVE