The Washington Post

Senior Data Analyst, Acquisition

Washington, D.C. US
SQL Python R MySQL AWS
Description

Job Description

The Data and Analytics department drives strategic and operational decisions for The Washington Post. This highly visible team applies analytics and insights to support strategic initiatives and day-to-day operational support company-wide and is currently seeking a Senior Data Analyst.

As our Senior Data Analyst focusing on acquisition, you will lead data initiatives to drive subscriber growth. Your expertise will shape strategies, optimize acquisition campaigns, and deliver actionable insights to maximize customer acquisition efficiency and lifetime value.


You’ll work in close collaboration with the marketing, newsroom, product, engineering, advertising and finance departments on a diverse range of projects that have a critical and strategic impact on all aspects of the company. You will regularly interact with various stakeholders in these departments, understand needs, build reports, conduct data analysis, and make actionable recommendations. You will love solving open-ended problems by taking mountains of data, transforming it into meaningful analysis aimed at identifying solutions and opportunities.

Motivation

  • You want to help shape strategy for different products and teams by turning ambiguous questions into actionable answers.

  • You enjoy the balance of both technical data-wrangling (writing queries, code) and engaging presentations (summarizing takeaways, visualizing data).

  • You have a knack for synthesizing different aspects of the business (finance, advertising, engineering, content) to make the more relevant recommendations to various teams.

  • You find value in educating coworkers about different metrics, KPIs, and analytics tools.

  • You think about the full picture of data, from tracking requirements to efficient processing to digestible reporting.

  • You can say you enjoy working on multiple projects at one time.

  • You are energized by working on complex problems and sharing your results with others.

  • You find meaning in supporting teammates and leading through example.

Responsibilities

Data Strategy & Insights

  • Define and execute data-driven strategies to optimize customer acquisition.

  • Analyze subscription funnel performance, acquisition costs, and campaign ROI.

  • Develop models to predict customer acquisition trends and LTV.

  • Prepare and present analysis and presentations to various stakeholders including executives

Data Analysis & Visualization

  • Design and build dashboards to track acquisition KPIs (e.g., CAC, conversion rates).

  • Extract actionable insights from large datasets using advanced analytics.

  • Partner with marketing and product teams to experiment, measure, and refine campaigns.

Collaboration & Leadership

  • Serve as a thought leader for data analytics in acquisition strategies.

  • Mentor junior analysts and provide expertise in statistical methodologies.

  • Collaborate cross-functionally with growth marketing, finance, and engineering teams.

Tools & Technologies

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

  • Work with marketing automation and CRM platforms for data integration and reporting.

Requirements

Minimum Qualifications

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

  • 3+ years of experience in data analytics, with a focus on subscription businesses or acquisition.

  • Strong expertise in subscription analytics metrics (e.g., CAC, LTV, ARPU).

  • Proficiency 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.


Preferred Qualifications

  • Experience with customer segmentation, cohort analysis, and predictive modeling.

  • Expertise with enterprise Web Analytics systems (Google Analytics, Adobe Analytics, Google Tag Manager).

  • Knowledge of A/B testing and experimental design.

The Washington Post’s policy for employees is five days per week in the office, with exceptions for newsgathering and general business travel.

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

Benefits may vary based on the job, full-time or part-time schedule, location, and collectively bargained status.

The salary range for this position is:

81,600.00 - 136,000.00 USD Annual

The actual salary within this range will depend on individual skills, experience, and qualifications as they relate to specific job requirements. This position may be eligible for a bonus or incentive program, and a member of the Talent Acquisition team will discuss bonus payment terms and conditions during the interview process.

The Post strives to provide its readers with high-quality, trustworthy news and information while constantly innovating. That mission is best served by a diverse, multi-generational workforce with varied life experiences and perspectives. All cultures and backgrounds are welcomed. 

The innovation doesn’t end in the Newsroom – dozens of teams power The Washington Post.  We are now hiring the next innovator – how will you Impact Tomorrow?

#washpostlife

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