Senior Analyst, Marketing Data Operations

Dowjones Open · verified Sep 25, 2026

Princeton Full-time Senior Marketing Analytics

At a glance

Senior Marketing Analytics role at Dowjones. Princeton · full-time · $80,000–$110,000 base.

SalaryStated by Dowjones

$80,000 – $110,000

Base salary for this role, in USD per year, as published in the posting.

RoleMarketing Analytics

SenioritySenior

LocationPrinceton

EmploymentFull-time

Base pay$80,000–$110,000

PostedSep 23, 2026 · 2d ago

Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

Build campaign analytics from Dow Jones data sources across marketing distribution channels
Use Tableau and Snowflake to combine, examine, and validate data from multiple sources
Investigate quality problems and carry data issues through to resolution
Create scalable Gold-layer tables and views in the Snowflake customer data lake
Explain findings to marketing stakeholders while managing concurrent dashboards and projects

What you bring

At least five years working in data analytics
Strong SQL capability covering extraction, complex joins, views, stored procedures, and database scripting
Hands-on work with Tableau or comparable visualization tools, plus R or Python for large unstructured datasets
Experience with ETL work, Snowflake, and AI tools such as Copilot, Claude Code, or OpenAI
A BA or BS degree, or equivalent experience

Who this fits

You’ll suit work that combines marketing analytics, data engineering partnership, dashboard delivery, and stakeholder education. The role calls for someone who can work independently across multiple teams, communicate recommendations clearly, and use data to influence decisions. It is a full-time position based in Princeton, United States of America, with a stated base-pay range of $80,000 to $110,000 per year.

From the employer

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 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 - 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.