Data

Data Marketing Jobs

4 jobs found

7d ago

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union Vienna, VA

Vienna, VA

7d ago

$150k - $206k/yr Full time Manager Senior Big Data

Apply Now

Job Description

Navy Federal Credit Union is seeking a senior, advanced individual contributor to deliver analytical insight from organizational data that supports mission-critical decisions. In this onsite role in Vienna, VA, you will apply advanced, largely unsupervised approaches to marketing channel optimization, combining exploratory analysis, predictive modeling, and ethical AI research to improve business outcomes.

This position operates at an industry-expert level and includes hands-on development of complex software, algorithms, and automated processes, along with clear communication of insights to senior stakeholders. You will also contribute as a technical resource, mentoring more junior team members while helping guide the evolution of policies and best practices.

Role Overview

Serve as a subject matter expert and advanced individual contributor for highly complex, largely unsupervised work in marketing channel optimization.
Advise senior leaders with analytical insights and solution approaches to address business problems.
Translate complex business and technical requirements into technological objectives.

Responsibilities

Direct existing principles and guide the development of new policies.
Drive innovative solutions through exploratory data analysis using complex, high-dimensional datasets.
Identify opportunities, pose business questions, and uncover actionable discoveries.
Generate and test hypotheses, then analyze and interpret results.
Develop and code the most complex software programs, algorithms, and automated processes.
Use effective written and verbal communication to document and present findings to stakeholders for critical decision making.
Research and apply new best practices, including ethical AI.
Maintain strong working relationships with team members, subject matter experts, and senior leaders.
May lead complex technical projects and initiatives with significant impact.
Lead the development and enhancement of practices, procedures, and instructions.
Serve as a lead technical resource for other team members and mentor/assist leading lower levels.

Required Qualifications

10+ years of relevant experience.
In-depth professional knowledge and a solid understanding of business dynamics and strategy.
Specialized skills across statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns.
Experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS.
Project management skills and ability to execute a model lifecycle.
Technical writing, data storytelling, and technical presentation skills.
Research skills, interpersonal skills, mentoring, critical thinking, thought leadership, and initiative with sound judgment.
Independent judgment and strong problem solving, including recognizing potential issues and risks for long-term implications.
Master’s Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.

Preferred Qualifications

PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering.

Logistics

Location: 820 Follin Ln., Vienna, Virginia 22180 (onsite)
Schedule: Monday to Friday, 8:00AM to 4:30PM

Compensation

Salary Range: USD 150,100 to 206,450 per year

Important Notices

Navy Federal reserves the right to fill this role at a higher or lower grade level based on business need.
An assessment may be required to compete for this position.
Job postings may close early or extend longer than the anticipated closing date at the hiring team’s discretion.
Salary ranges are established using market data to remain competitive; pay within the range is based on experience, location, and market position.
Protect yourself from job scams: Navy Federal posts roles on jobs.navyfederal.org and reputable job boards (for example, LinkedIn and Indeed), and does not request payment, bank details, or personal financial information during hiring.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies, procedures, and regulations pertaining to the Bank Secrecy Act.

Technology Stack

SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS

View full job page →

10d ago

Marketing Data and Analytics Engineer

Fortune New York, NY

New York, NY

10d ago

$120k - $150k/yr Full time Marketing Application Support Business Systems

Apply Now

Job Description

Fortune Media is hiring an early, foundational Marketing Data and Analytics Engineer to build governed marketing data pipelines across Salesforce and expand toward a broader CDP/ESP ecosystem.

Responsibilities

Design, build, and maintain data pipelines connecting Salesforce Sales Cloud, Salesforce Marketing Cloud, and any future ESPs
Integrate adjacent systems including event platforms, subscription tools, and analytics layers
Ensure reliable, performant data syncs within the integration architecture between Sales Cloud and Marketing Cloud Connect and future ESPs/tools
Evaluate and help implement future ESP and CDP tooling, including how data enters, moves through, and exits each system
Maintain centralized documentation for data flows, field mappings, and transformation logic
Establish and maintain a data dictionary with canonical definitions for contacts, leads, accounts, subscribers, and audience segments across systems
Enforce data quality standards including deduplication, field validation, consent flags, and suppression logic to support a unified customer “golden record”
Partner with the Salesforce Developer to ensure custom objects, fields, and automations align with governance standards
Champion compliance hygiene for CAN-SPAM and GDPR, protecting opt-in/opt-out data integrity across marketing sends
Build and maintain reporting frameworks covering email performance, audience health, list growth, and data quality metrics
Deliver actionable insights to marketing and revenue stakeholders, including deliverability trends, segment performance, data decay, and contact coverage gaps
Support attribution modeling and funnel reporting as Sales Cloud and Marketing Cloud mature
Act as an internal expert and translator between marketing operations, engineering, and business stakeholders for data questions
Collaborate with the Marketing Cloud Solutions Architect on technical implementation decisions
Contribute to vendor evaluation and RFP processes for CDP and ESP investments

Requirements

Demonstrated ability to solve complex, high-scale engineering problems with clean, efficient code
Strong proficiency in at least one major programming language (e.g., Python, Go, Java) beyond basic scripting for data manipulation
Expertise designing scalable, fault-tolerant distributed systems
Deep understanding of system design trade-offs for enterprise data pipelines, including CAP theorem, latency vs. throughput, and synchronous vs. asynchronous processing
Advanced data modeling knowledge beyond SQL, including optimization of NoSQL vs. relational schemas for high-performance retrieval in a CDP/CRM environment
2–6 years of experience in data, data engineering, marketing operations, or a martech-focused role
Hands-on experience with Salesforce Sales Cloud and Salesforce Marketing Cloud, including where the systems connect and where they break
SQL fluency, with ability to query, transform, and validate data independently
Working knowledge of data governance concepts: data dictionaries, lineage, deduplication, and master data management
Experience designing or maintaining data integrations via APIs, connectors, and ETL/ELT pipelines
Strong documentation instincts to leave systems better-understood than found
Comfort operating in ambiguity because the team is early and the roadmap is actively being shaped

Technologies

Python, Go, Java
SQL
Salesforce Sales Cloud, Salesforce Marketing Cloud
Marketing Cloud Connect
NoSQL, Relational schemas

Benefits

20 vacation days and 2 personal days on top of 11 company holidays, plus an honour-based sick leave policy
Health, dental, and vision coverage (90% paid for individuals and families) and flexible spending accounts with Fortune contributing to your HSA
401(k) plan
Generous parental leave
Dependent care, commuter, and cell phone benefits
Tuition reimbursement program
Commitment to an open, inclusive, and diverse work culture

Preferred

Experience with Marketing Cloud Connect and Synchronized Data Extensions
Knowledge of email deliverability fundamentals including sender reputation, list hygiene, and ISP feedback loops
Exposure to ESP migration or evaluation projects
Familiarity with CDP platforms (Salesforce Data Cloud, Segment, or similar) preferred
Salesforce certification (e.g., Marketing Cloud Email Specialist, Administrator, or Data Cloud) preferred
Experience in a media, publishing, or subscription business preferred

Location & Salary

New York, NY (hybrid)
USD 120,000 - 150,000 per year
Minimum experience: 2 years

Current Stack & Roadmap

CRM: Salesforce Sales Cloud
Marketing Automation: Salesforce Marketing Cloud
Integration: Marketing Cloud Connect
On the roadmap: CDP evaluation and integration, ESP consolidation/migration

View full job page →

30d ago

Marketing Data Scientist Senior Associate - Consumer Bank

JPMorganChase Columbus, OH

Columbus, OH

30d ago Closed

Full time Marketing Analyst Analytics

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

An onsite opportunity in Columbus, Ohio offers a comprehensive benefits package and a collaborative, data driven culture that values rigorous analysis and practical impact. As a Senior Associate Marketing Data Scientist in JPMorgan Chase’s Consumer Bank, you will focus on measuring marketing effectiveness, building present value models, and turning analytics into strategic recommendations that drive customer acquisition and optimize campaigns. You’ll work with marketing, finance, and analytics partners to turn insights into decisions that shape investment and growth.

Benefits

Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Responsibilities

Develop, maintain, and assess present value models and the underlying assumptions to evaluate acquisition quality and marketing investment performance
Provide analytical support for deposit marketing efforts, delivering campaign insights, recommendations, and strategic guidance
Support portfolio investment optimization and the business-facing quality assumptions that inform marketing spend decisions
Contribute to finance processes by supplying inputs to budgeting and forecasting, including ROI and cost-benefit evaluations
Advise on experimental design and data collection, partnering with stakeholders and other Data & Analytics teams to shape strategies
Interpret analytical results and present clear, concise, and actionable insights to stakeholders and senior management
Participate in innovation efforts to advance analytical methods while maintaining strong controls to ensure accuracy and timely results

Requirements

Bachelor's and Master's degree in a quantitative discipline (Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields)
3+ years of experience applying statistical methods to real world problems
3+ years of experience using SQL for data analysis
3+ years of experience using R for analytics
Experience supporting finance workstreams, including budgeting, forecasting, and ROI or cost-benefit evaluations
Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
Demonstrated experience using AI assisted development tools (such as GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
Experience with data visualization for analysis and presentation
Strong written, verbal, and presentation skills with experience communicating across levels and partner groups

Technologies

SQL
R
Python
GitHub Copilot
Claude Code
Tableau

View full job page →

1mo ago

Marketing Data Analyst - Senior

Strand Marketing Hermosa Beach, CA

Hermosa Beach, CA

1mo ago Closed

$120k - $160k/yr Full time Marketing Senior Analyst

This position is no longer accepting applications (closed Jul 17, 2026).

Job Description

Strand Marketing is seeking a Senior Marketing Data Analyst to drive performance analysis, data integrity, and actionable insights across affiliate, email, native, and display marketing channels in a hybrid role based in Hermosa Beach, CA.

Responsibilities

Oversee cross‑channel performance analysis for affiliate, email, native, and display campaigns, identifying trends, risks, and opportunities for optimization
Verify and harmonize data from multiple sources to ensure accuracy in internal reports and client deliverables
Develop and maintain dashboards and automated reporting to enhance visibility and speed decision‑making
Create forecasting models and ROI analyses to inform strategic investment decisions
Collaborate with marketing, BI, and operations teams to support campaign performance and business insights
Translate complex data into concise narratives for leadership and client stakeholders
Identify automation opportunities and streamline processes to boost efficiency and reduce manual workload

Requirements

7+ years of experience in digital marketing analytics, with emphasis on affiliate, email, native, or display channels
Solid understanding of metrics such as CPA, CPC, CPM, conversion rate, and ROI
Hands‑on experience building dashboards and reports using Google Sheets, Excel, Domo, Tableau, Looker Studio, or similar tools
Working knowledge of SQL, tracking pixels, tag managers, and analytics platforms (e.g., Google Analytics, Adobe Analytics)
Familiarity with marketing and partner platforms such as Impact.com, Google Ads, Outbrain/Taboola, Mailchimp, or similar
Proven ability to convert complex data into clear, actionable insights
Experience with forecasting, profitability modeling, and performance optimization strategies
Strong communication skills to present insights to both technical and non-technical audiences
Process‑oriented mindset with a track record of improving workflows and implementing automation

Technologies

Google Sheets
Excel
Domo
Tableau
Looker Studio
SQL
Google Analytics
Adobe Analytics
Impact.com
Google Ads
Outbrain
Taboola
Mailchimp

Benefits

Competitive compensation
401(k) with 4% company match
Comprehensive medical, dental, and vision coverage
Work-from-home Mondays and a work-from-home plus half-day Friday schedule year‑round
Monthly home office and lifestyle stipend
Monthly happy hours, team building events, and volunteer opportunities
Dynamic, energetic, and fast‑paced work environment

In This Role, Success Means

Marketing decisions consistently backed by accurate, timely data
Campaign performance enhanced through clear optimization insights and strategic recommendations
Reporting that is reliable, scalable, and easily understood by internal teams and clients
Data processes streamlined, reducing manual effort and boosting operational efficiency
Stakeholders trust and rely on your insights to guide business and client decisions
Complex data translated into clear narratives that highlight performance, risks, opportunities, and recommended actions

Why Join Strand

Opportunity to work on high‑impact performance marketing initiatives across a diverse client portfolio
Collaborative, fast‑paced environment with strong cross‑functional partnerships
High ownership and visibility into business‑critical decisions
Exposure to both strategic and technical aspects of marketing analytics

Application Question

Will you now or in the future require employer sponsorship to work in the United States?

View full job page →

Data Marketing Jobs

Senior Principal Data Scientist (Marketing Channel Optimization)

Marketing Data and Analytics Engineer

Marketing Data Scientist Senior Associate - Consumer Bank

Marketing Data Analyst - Senior

Get Data Marketing Jobs alerts