Responsibilities

• Develop mastery of all Dow Jones data sources that we leverage in our analytics
• Use Tableau/Snowflake to aggregate and analyze data collected from various sources across multiple marketing distribution channels
• Achieve data quality, troubleshoot data validation, and see issues to resolution
• Support data-driven marketing projects by evaluating large, complex datasets to inform marketing strategy
• Partner with data engineering and product engineering colleagues to collect, cleanse and organize data consistently
• Help marketing stakeholders establish benchmarks, inputs and critical metrics for new programs
• Tell stories with data, educate stakeholders effectively, and instill confidence in recommendations, motivating others to act on them
• Design and implement scalable Gold layer tables and views within the Customer data lake (Snowflake) to support complex data solutions
• Manage multiple projects and dashboards simultaneously to meet objectives and deadlines
• Execute projects and dashboards with minimal guidance and supervision

Requirements

• 5+ years of experience in Data Analytics
• Experience in visualization tools like Tableau, Looker, or similar
• Experience manipulating data sets using R or Python and handling large scale, unstructured data
• Extensive SQL experience for data extraction, manipulation, and analyses; including stored procedures, complex joins, creation of views, and database scripting
• Experience with ETL processes and cloud-based tools (Snowflake)
• Experience with AI tools (Copilot, Claude Code, OpenAI, etc.) for the purpose of improving productivity and building end-user facing analytical products
• Tableau Desktop Certification Preferred
• Experience with Microsoft Office, Google Suite
• Strong eye for data visualization and design
• Possession of excellent data gathering, analytical, and problem-solving skills