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职位Dow Jones

B2C Staff Analyst

Dow Jones

B2C Staff Analyst

Dow Jones

NYC - 1211 Ave of the Americas

·

On-site

·

Full-time

·

2d ago

Job Description:

About the Team:

Our Technology team drives the evolution of our Technology, Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.

About the Role:

As a Staff Analyst, you will report into the Sr Analytics Director and partner with senior leadership and cross-functional peers to architect and deliver next-gen analytics and data platforms. You are responsible for driving data innovation, ensuring analytical rigor and performance, and optimizing data processes to deliver high-quality, reliable insights across the B2C portfolio. A primary focus will be defining, tracking, and socializing core metrics for the business, developing a deep understanding of the customer journey, and ensuring the technical excellence of our analytics ecosystem.

You Will:

  • Architect the B2C Data Philosophy and Define the North Star: Establish the strategic long-term vision for growth and retention metrics, which will guide the priorities across the entire B2C portfolio.

  • Bridge Business & Executive Strategy: Drive consensus on core metrics and ensure the strategic vision is adopted by translating data into executive decision-making, converting data philosophy into business impact.

  • Champion Data Innovation and Operational Excellence: Lead the execution of the strategy by ensuring technical feasibility and a future-forward approach. Focus on advancing future capabilities, such as AI/LLMs and self-serve data, while concurrently upholding the platform's reliability and the highest standards of data quality.

  • Navigate Complexity: Strategically resolve highly ambiguous, large-scale business problems, critically evaluating analytical, technical, and strategic trade-offs to deliver definitive insights and action plans.

  • Force Multiply Organizational Impact: Serve as a Staff-level "go-to" expert and mentor, force multiplying Dow Jones' analytical capabilities by building scalable resources, establishing best practices for customer analytics and metric definition, and driving adoption through model reviews and high-quality documentation.

You Have:

  • 7+ years in data analytics or data science, with 3–5 years in a staff+ IC or management role.

  • Substantial experience in applying advanced analytics to digital subscription products, advertising and privacy technologies, and high-traffic websites.

  • Strong understanding of SQL and Python/R for large-scale data manipulation and statistical analysis

  • Expertise in data visualization tools (e.g., Tableau, Looker) and clearly communicating complex analytical findings.

  • Knowledge of Analytics fundamentals including A/B testing methodology, experimentation design, cloud computing, and data governance principles.

  • Experience with AI tools (Copilot, Claude Code, OpenAI, etc.) for the purpose of improving productivity and building consumer-facing analytical products.

  • BS in a quantitative field (e.g., Statistics, Computer Science, Economics) or equivalent work experience.

Our Benefits:

  • Comprehensive Healthcare Plans

  • Paid Time Off

  • Retirement Plans

  • Comprehensive Insurance Plans

  • Lifestyle programs & Wellness Resources

  • Education Benefits

  • Family Care Benefits & Caregiving Support

  • Commuter Transit Program

  • Subscription Discounts

  • Employee Referral Program

Learn more about all our US benefits

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic under applicable law. EEO/Disabled/Vets

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area:

  • Dow Jones
  • Technology

Job Category:

Data Analytics/Warehousing & Business Intelligence

Union Status:

Non-Union role

Base Pay Range: 110,000 - 140,000

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.

For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.

For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

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关于Dow Jones

Dow Jones

Dow Jones

Public

Dow Jones & Company, Inc. is an American publishing firm owned by News Corp, and led by CEO Almar Latour. The company publishes The Wall Street Journal, Barron's, MarketWatch, Mansion Global, Financial News and Private Equity News.

1,001-5,000

员工数

New York

总部位置

评价

3.6

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

4.1

职业发展

3.4

管理层

3.2

65%

推荐给朋友

优点

Supportive team culture and helpful colleagues

Good learning and training opportunities

Excellent health benefits and vacation policy

缺点

Heavy workload and demanding work hours

Frequent overtime and fast-paced environment

Limited growth opportunities

薪资范围

20个数据点

Mid/L4

Mid/L4 · Data Scientist

1份报告

$103,500

年薪总额

基本工资

$90,000

股票

-

奖金

-

$103,500

$103,500

面试经验

1次面试

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Technical Assessment

6

Offer

常见问题

Behavioral/STAR

Past Experience

Technical Knowledge

Culture Fit

Industry Knowledge