B2C Staff Analyst

About the role

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. 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.