Data Processing

Data Processing Marketing Jobs

14 jobs found

10d ago

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union Vienna, VA

Vienna, VA

10d 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 →

13d ago

Marketing Data and Analytics Engineer

Fortune New York, NY

New York, NY

13d 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 →

20d ago

Sr Data Analyst - Marketing Analytics

Tailored Shared Services, LLC Dublin, CA

Dublin, CA

20d ago

$107k - $222k/yr Full time Marketing Senior Analyst

Apply Now

Job Description

Tailored Shared Services, LLC seeks a Senior Data Analyst for Marketing Analytics to partner with Marketing and other stakeholders in Dublin, CA. The role centers on evaluating marketing performance, analyzing customer acquisition, and uncovering opportunities to attract, retain, and delight customers through data-driven insights.

The position emphasizes turning complex data into actionable business outcomes, shaping how marketing decisions are made, and collaborating across analytics, engineering, and business teams to drive measurable impact.

Responsibilities

Collaborate with Marketing and other stakeholders to deliver analytics-driven solutions and innovative strategies that drive business results.
Interpret data to identify business trends, perform ad-hoc analyses, and uncover opportunities across digital marketing channels.
Examine customer segments, churn, retention, and buying behaviors.
Build and optimize reporting and dashboards, defining key metrics, crafting clear reports, and proactively monitoring them. Improve data sources and automate processes to maximize time for high-value analyses.
Own analytics outcomes for marketing channel performance and optimization; work with stakeholders to define a roadmap, prioritize initiatives, and execute plans.
Design and assess tests and experiments to improve marketing performance and customer outcomes.
Translate analytical findings into actionable recommendations and prioritization decisions that drive impact.
Collaborate with Data Engineering to enhance data quality, standard definitions, governance, tools, and approaches.
Manage multiple projects concurrently, prioritizing by impact on the business and customers.
Present analyses in a clear, interpretable way that is accessible to both technical and non-technical partners.
Collaborate across Analytics to share learnings, align methodologies, and leverage best practices.

Requirements

7+ years of analytics experience with progressive responsibility initiating, executing, and presenting projects for cross-functional teams.
Comfort with AI-enabled tools and technologies to accelerate analysis, including developing practical methodologies to QA AI-generated outputs and assess reliability before use.
Fluency with complex SQL queries and dataset transformations on large datasets.
Experience in quantitative marketing, including correlation, clustering, segmentation, regression, and marketing performance analysis.
Experience with advanced data visualization tools such as Google Data Studio, Tableau, or Power BI.
Strong ability to interpret data and translate it into practical business actions, recommendations, and prioritization decisions.
Strong practical business sense, balancing analytical rigor with real-world tradeoffs to improve customer and business outcomes.
Familiarity with marketing channels and external agencies including social, search, and display.
Familiarity with A/B testing methodology, test design, measurement, and translating results into marketing actions.
Familiarity with evaluating loyalty programs.
Strong communication and collaboration skills; acts as a bridge among business, analytics, and engineering teams.
Proven ability to deliver highly complex analytics projects involving methodology development, analysis, strategic recommendations, and presentation of findings.
Familiarity with agile methodologies such as Scrum or Kanban and project management software like JIRA, GitHub, and Confluence.
Confidence to scrutinize and share the limitations of analyses when the data isn’t perfect.
Bachelor’s degree in a technical field like Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering, or relevant experience.

Technologies

Google Data Studio
Tableau
Power BI
SQL
JIRA
GitHub
Confluence

Benefits

Healthcare including medical, dental and vision
401k with a company match
Life, accident and disability insurance
Paid time off for sick leave, vacation, bereavement, jury duty, and holidays
Wellbeing program
Commuter benefits
Adoption assistance
Education assistance
Legal services
Employee merchandise discounts

Work Environment, Physical & Mental Demands

Ability to sit and work at a computer keyboard for extended periods
Ability to stoop, kneel, bend at the waist, and reach daily
Able to lift and move up to 25 pounds occasionally
Must utilize visual acuity, speech and hearing, hand and eye coordination and manual dexterity necessary to operate a computer and office equipment
Hours regularly 40 hours per week, as work dictates, from a remote office location

Work-Life Balance

Meeting-Free Fridays (encouraged) to catch up on work and self-development
Summer Fridays from Memorial Day to Labor Day to start the weekend early
Holiday Early Departure close out early the business day before a company observed holiday

Work Location

In person

View full job page →

22d ago

Marketing Generalist

Unicorn Tire Corporation Memphis, TN

Memphis, TN

22d ago

Full time Marketing Analytical Skills Brand Management

Apply Now

Job Description

The Marketing Generalist role at Unicorn Tire Corporation is based onsite in Memphis, Tennessee. This role balances daily pricing data updates with dynamic marketing operations, coordinating trade show logistics, promotional inventory, and materials for product launches.

Responsibilities

Manage large product and pricing datasets using advanced Excel functions such as VLOOKUP, XLOOKUP, PivotTables, data validation, and complex formulas to clean, organize, and maintain data efficiently.
Update price sheets accurately in Excel and input pricing terms into the SAP system with precision, ensuring consistency across platforms.
Maintain, update, and audit product specification data sheets to achieve 100 percent accuracy of technical details.
Rapidly learn and master the company’s product portfolio, including tire brands, product lines, technical specifications, country of origin, and manufacturer data.
Analyze and map tire brands and lines to specific customer segments and distribution channels.
Source, order, and distribute corporate gifts, event supplies, and branded merchandise; track allocations and coordinate distribution to support sales and trade show activities.
Keep the marketing room organized and properly labeled; manage digital inventory and coordinate timely replenishment of printed collateral and promotional assets, with occasional lifting up to 50 pounds.
Serve as the bridge between sales and the warehouse for samples and marketing supplies; arrange warehouse preparation, provide shipping labels, and track delivery while ensuring reusable items are logged and returned.
Draft and refine simple press releases, product updates, and quotes for new launches, translating technical specifications into accessible marketing copy.
Prepare and send periodic marketing emails and newsletters to customers or subscribers, highlighting product news and important announcements.
Support meetings and sales trips by preparing physical and digital materials and configuring presentation slides or welcome screens.
Provide ad hoc general marketing support and handle flexible duties as needed.

Requirements

Bachelor’s degree in marketing, Business Administration, Supply Chain, Data Analytics, or a related field; 1–3 years of experience preferred, with exceptional recent graduates possessing elite Excel skills considered.
Expert or advanced proficiency in Microsoft Excel is essential; comfortable handling large formulas and auditing data for accuracy.
Familiarity with SAP or similar enterprise ERP systems is highly preferred.
Proficiency with CRM or inventory tracking tools is a plus.

Technologies

Microsoft Excel
SAP
CRM tools

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Work Location

Onsite in Memphis, Tennessee

View full job page →

24d ago

Financial Analysis - Marketing - Senior Associate

JPMorganChase Wilmington, DE

Wilmington, DE

24d ago

$95k - $125k/yr Full time Marketing Senior Analytical Skills

Apply Now

Job Description

JPMorganChase is seeking a Senior Associate to join the Marketing Finance & Business Management function onsite in Wilmington, Delaware. This role centers on financial analysis, budgeting, forecasting, and reporting to back marketing initiatives and improve profitability, with a focus on delivering executive-ready insights and automating reporting through cross-functional collaboration. The position offers a salary range of USD 95,000 - 125,000 per year.

Responsibilities

Oversee annual and ongoing financial planning for assigned product areas
Provide month-end performance explanations and forecast rationales to inform business decisions
Conduct reviews and in-depth analyses of product financial performance
Analyze consumption and demand planning, budgeting, billing trends, and exception reporting
Produce efficiency reporting, analytics, and strategic insights, including location strategy and span of control considerations
Develop financial business cases to support new initiatives
Monitor key metrics, drive data-quality initiatives across the product area, and define forward-looking reporting and analytics needs
Create and track performance metrics, prepare presentations, and provide financial analysis on a variety of topics to senior management
Perform variance analysis and explain drivers relative to prior forecasts and budgets
Design new reports and dashboards and streamline processes through controls and automation

Requirements

Bachelor’s degree in Accounting, Finance or a technically related field
4+ years of experience in Financial Analysis, Business Management, Planning & Analysis, Accounting, or related roles
Advanced skills in Excel and PowerPoint
Proficiency in data mining, gathering, and data set manipulation
Strong analytical and problem-solving abilities; capacity to analyze large data sets and present concise conclusions
Excellent verbal and written communication; ability to clearly articulate complex issues
Ability to create ad hoc reporting for senior management
Proven track record delivering special projects with limited lead time and ambiguity
Team-oriented with the ability to thrive under pressure and tight deadlines, including strong prioritization and time management
Proven ability to manage relationships and act as a trusted partner to Business, Finance, and P&A stakeholders

Technologies

Excel
PowerPoint
Databricks
Essbase
Copilot
LLM

Benefits

Base salary
Commission-based pay and/or discretionary incentive compensation (cash and/or forfeitable equity)
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Preferred Qualifications, Capabilities, and Skills

Experience in the financial services industry
Interest in or experience with AI tools (Copilot, LLM, etc)
Databricks
Essbase

View full job page →

30d ago

Senior Manager, Senior Data Engineer – Paid Marketing

Marriott International, Inc Bethesda, MD 📍 MD Remote

Bethesda, MD

30d ago Closed

$100k - $199k/yr Full time Manager Marketing Senior

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

Job Description

Enjoy a remote-friendly senior data engineering role with Marriott International. This position offers a competitive salary, a robust benefits package, and opportunities to grow within a global brand while making an impact across Marketing and Digital analytics. You will design and deliver scalable data pipelines and data solutions on Marriott's cloud-native platform (Snowflake, Airflow, AWS) to power personalization, campaign optimization, and enterprise analytics. You will partner with engineering, product, and business teams to translate requirements into scalable, standards-aligned data solutions and contribute to ongoing modernization efforts across the data platform.

Benefits

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical coverage
dental coverage
vision coverage
health care flexible spending account
dependent care flexible spending account
life insurance
disability insurance
accident insurance
adoption expense reimbursements
paid parental leave
educational assistance

Responsibilities

Design and implement end-to-end data pipelines (ingestion, transformation, delivery) using Airflow and Snowflake to support marketing data use cases
Develop and optimize data models and curated datasets to enable analytics, reporting, and downstream data products
Collaborate with engineering, product, and business teams to translate requirements into scalable data solutions aligned with platform standards
Ensure data quality, governance, security, and compliance across pipelines and datasets
Improve performance, reliability, and cost efficiency of Snowflake workloads and orchestration workflows
Contribute to platform modernization efforts, including automation, standardization, and reusable pipeline frameworks
Support and mentor engineers by promoting best practices in data engineering, testing, and deployment

Requirements

Strong experience building cloud-based data solutions (AWS + Snowflake preferred)
Hands-on expertise in data pipeline orchestration (Airflow) and modern ETL/ELT patterns
Advanced proficiency in SQL and data modeling for analytics and reporting use cases
Solid understanding of data governance, quality, and security principles
Experience working with large-scale, distributed data systems supporting analytics or personalization
Strong collaboration skills with the ability to work across engineering, product, and business teams

Technologies

Airflow
Snowflake
AWS
SQL

Location and work setup

Location: Bethesda, Maryland, United States, with remote work options. Schedule: Full Time. This is a management level role with bonus eligibility. Remote pay range is listed as $100,400 to $181,000 annually; Bethesda, MD location pay range is $110,400 to $198,900 annually. Job number: 26075330.

View full job page →

1mo ago

Senior Analytics Engineer (Marketing)

Ledgent Technology New York, NY

New York, NY

1mo ago Closed

$58 - $91/hr Contract Marketing Senior Analytics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Ledgent Technology is seeking a Senior Analytics Engineer (Marketing) to design and deliver sophisticated dashboards and automated reporting for the Marketing Analytics organization. This on-site contract role handles end-to-end BI deliverables, from data acquisition to platform integrations, with a path to contract-to-hire through Roth Staffing. The position is available in New York, NY (onsite) or Bethesda, MD, with a compensation range of USD 58 - 91 per hour and a requirement for a bachelor’s degree and at least five years of BI experience.

Responsibilities

Create sophisticated dashboards featuring interactive elements while applying visualization best practices to optimize chart choice, usability, and stakeholder clarity.
Write and maintain advanced SQL queries and Python automation to support reliable data extraction, transformation, QA checks, and scheduled reporting; manage shared codebases in Git or Azure DevOps, adhering to team standards for commits, reviews, and documentation.
Establish automated reporting pipelines and repeatable delivery patterns to minimize manual effort and improve reliability.
Source and integrate datasets independently; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
Clarify ambiguous requirements by asking targeted questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
Collaborate with Marketing and enterprise stakeholders to support MarTech data acquisition strategies, tagging/collection requirements, platform integrations, and the usability of marketing datasets for reporting and analytics.
Conduct thorough self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
Present BI outputs and insights to stakeholders with a clear narrative, detailing assumptions, limitations, and tradeoffs.
Provide mentorship to junior BI engineers on tools, best practices, documentation, and stakeholder communication.
Manage multiple projects concurrently, accurately scoping timelines and proactively flagging risks.
Maintain a growth mindset by seeking feedback, pursuing learning opportunities, and continuously improving BI craftsmanship across accuracy, usability, and documentation.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or a related field.
Minimum five years of experience in BI or analytics engineering, or a closely related domain (flexible at the company's discretion for exceptional aptitude in other core areas).
Expert SQL skills and advanced experience with BI tools such as Tableau, Power BI, or Looker.
Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
Excellent communication skills with a track record of translating stakeholder needs into technical specifications.

Technologies

SQL
Python
Git
Azure DevOps
Tableau
Power BI
Looker
LookML
MetricFlow
dbt
Snowflake
Google Analytics
Campaign Manager 360 (CM360)
SA360
Salesforce

Role Summary

The Marketing department seeks a seasoned BI professional to join the Marketing Analytics team as a Senior Analytics Engineer (BI). The role focuses on building intricate dashboards and automated reporting solutions, translating stakeholder questions into technical specifications, and ensuring outputs are accurate, well-structured, and aligned with definitional standards.