Senior Analyst, Marketing Data Operations

Dow Jones; Princeton (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Dow Jones is seeking a BI Analyst within Marketing Operations to build and support analytics for campaign insights across multiple business lines. You will partner with marketing teams to generate actionable data-driven insights that influence critical decisions.

You will leverage Tableau and Snowflake to integrate data from diverse sources, ensure data quality, and design scalable data models. You will manage dashboards, automate reporting with AI tools, and communicate findings to stakeholders.

Qualifications

• 5+ years of experience in data analytics.
• Experience with Tableau/Looker or similar visualization tools.
• Proficient in SQL including complex joins, views and scripting.
• Experience with ETL processes and Snowflake.
• Experience with AI tools for productivity.
• BA or BS degree or equivalent experience.
• Tableau Desktop Certification preferred.

Responsibilities

• Develop mastery of all Dow Jones data sources used in analytics.
• Use Tableau/Snowflake to aggregate and analyze data from marketing channels.
• Ensure data quality and troubleshoot validation issues.
• Support data-driven marketing projects by evaluating large datasets.
• Collaborate with data and product engineering to collect and cleanse data.
• Help stakeholders establish benchmarks and metrics for new programs.
• Tell stories with data and educate stakeholders to drive action.
• Design scalable Gold layer tables/views within the Snowflake data lake.
• Manage multiple dashboards and projects to meet deadlines.
• Execute projects with minimal supervision.
• Leverage AI tools to automate data workflows and report generation.

Skills

Data analytics

Visualization storytelling

Python/R data manipulation

SQL

AI productivity tools

Communication skills

Education

BA/BS degree or equivalent

Tableau Desktop Certification preferred

Tools

Tableau

Looker

Python

R

Snowflake

Job description

Job Description:

About the Team

The Marketing Operations team is seeking a business intelligence analyst to build, execute and support campaign analytics across multiple lines of businesses.

About the Role

This role will work closely with the internal marketing teams to create insights from which our stakeholders can make critical business and marketing decisions.

You Will:

• 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
• Leverage AI tools to automate data workflows and report generation

You Have:

• 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
• Possession of excellent oral and written communication skills
• BA or BS degree or equivalent experience
• Strong work ethic with good time management with ability to work with diverse teams across many stakeholders and departments

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 [e-mail]. 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.

Business Area:

Dow Jones - Marketing

Job Category:

Marketing & Product Management

Union Status:

Union role

Base Pay Range: 80,000.00 - 110,000.00

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.