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Data Platform Marketing Jobs

11 jobs found

Today

Marketing Business Analytics Data Analyst, Marketing

Publix Super Markets, Inc. Lakeland, FL

Lakeland, FL

Today

$5,890 - $8,835/mo Full time Marketing Analytics Business Analytics

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Job Description

Publix Super Markets, Inc. is hiring a Marketing Business Analytics Data Analyst in Lakeland, FL to help translate customer and financial data into actionable insights. In this onsite role, you will create end-to-end analytics solutions that move from dataset building and reporting through to deployment in production, supporting decisions that impact profitability and performance.

The Data Analyst will lead analytical work across full-stack delivery, partnering with teams to support cross-functional strategic initiatives and providing analysis that explains performance drivers and shifting customer behavior. The role blends business intelligence, dashboard development, and production-minded data work to ensure insights are reliable and usable.

What you’ll do

Fulfill ad hoc analytical requests with data-driven business insights and recommendations.
Develop reporting outputs, including interactive dashboards.
Own projects end-to-end, from discovery through delivery.
Mine large data sources to create analytical datasets using SQL, R, or Python.
Create interactive dashboards to support leadership and enable data-driven decision-making using Power BI and/or Tableau.
Build descriptive analytical tools and models to answer questions such as why sales are at current levels, why customer behavior is changing, and where customers are coming from or going to, including identification of underlying causes of strong or weak performance.
Use business intelligence and advanced analysis and visualization tools including Alteryx, Power BI, Tableau, and other tools to support deeper analysis.
Develop, execute, deploy, and improve analytical solutions in production, including supporting team data asset production processes, weekly reporting, QC and data validation, and gathering information from subject matter experts (SMEs).
Act as primary analytical support for data-driven cross-functional strategic initiatives.

Key technologies

SQL, R, Python
Power BI, Tableau
Alteryx

What you bring

An agile software development mindset.
Ability to deliver full-stack solutions, including ideation/brainstorming, data and feature engineering and cleaning, data wrangling, coding, testing, deploying, data visualization, and maintenance.

Location: Lakeland, FL (onsite). Compensation: USD 5,890 - 8,835 per monthly.

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4d ago

Marketing Data Analyst

AFFILIATED FOODS Amarillo, TX

Amarillo, TX

4d ago

$17+/hr Full time Marketing Analytics Business Analytics

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Job Description

In this onsite role, you will turn marketing and business data into reporting, insights, and recommendations that improve decision-making and measure marketing results.

Responsibilities

Collect, organize, and analyze marketing, sales, customer, and promotional data
Build, maintain, and share recurring marketing reporting assets such as reports, dashboards, scorecards, and performance metrics
Evaluate advertising campaigns, promotional events, digital marketing initiatives, and loyalty program performance
Spot trends, customer purchasing behaviors, market opportunities, and improvement areas through ongoing data analysis
Deliver actionable insights and recommendations aligned to marketing strategies and business objectives
Confirm the accuracy, consistency, and integrity of marketing data before reporting or presenting
Produce weekly, monthly, quarterly, and annual marketing performance reports for leadership
Create charts, graphs, dashboards, and presentations to communicate analytical findings to management and business partners
Support forecasting for promotional performance, customer trends, and sales opportunities using historical and current data
Find ways to automate reporting processes and improve efficiency using business intelligence and data visualization tools
Maintain documentation for reports, data sources, calculations, and reporting procedures to ensure consistency and accuracy
Complete special projects and perform other duties as assigned

Requirements

Advanced proficiency in Microsoft Excel, including formulas, pivot tables, charts, sorting, filtering, and data analysis
Strong analytical and problem-solving skills
Ability to analyze data and identify trends, patterns, and opportunities
Skilled at creating clear, accurate, and easy-to-understand reports
Strong attention to detail and commitment to data accuracy
Excellent organizational and time-management skills
Ability to handle multiple tasks and meet deadlines
Strong written and verbal communication skills
Ability to identify process improvements and recommend practical solutions
Ability to work independently and as part of a team
Ability to adapt to changing priorities and business needs

Technology

Microsoft Excel

Benefits

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

Pay

From $17.59 per hour

Location: Amarillo, TX (onsite) | Work type: In person

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8d ago

Sales & Marketing Operations Analyst

Palm Construction Woodland Hills, CA

Woodland Hills, CA

8d ago

$75k - $100k/yr Full time Marketing CRM Crm Analytics

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Job Description

Palm Construction is hiring a Sales and Marketing Operations Analyst onsite in Woodland Hills, CA. In this role, you will own reporting and CRM dashboards that track full-funnel performance, analyze marketing channels and vendors, and translate data into actionable next steps for leadership and the field.

Responsibilities

Build and run weekly and monthly sales and marketing status reports for leadership, including pipeline, conversion by stage, performance by market, and trends requiring attention.
Deliver recurring reporting to sales and company leadership, translate findings into concrete actions, and follow through with the field to ensure measurable movement in results.
Develop dashboards and reporting used across sales and marketing, built on CRM data (Quickbase), from leadership views to market-level and team-level reporting.
Connect metrics across the customer journey from lead to appointment set, confirmation, sit, sale, dispatch, and production to identify where deals progress and where they stall.
Create and maintain rep-level scorecards across markets, covering time to work a lead, sit rates, closing rates, and referral, repeat, and upsell activity; maintain ongoing communication with sales leaders, sales reps, and general managers.
Support monthly sales forecasting by market using pipeline and historical data.
Identify bottlenecks in lead and deal movement through internal systems (handoffs, confirmations, dispatch) and propose fixes.
Connect sales, dispatch, and marketing systems so data flows cleanly between them; own data mapping and validation for platform upgrades to ensure no data loss.
Run recurring analysis of marketing sources and platforms, including cost per lead, cost per sit, and cost per sale by platform and by market, and turn results into recommendations for where to invest.
Conduct recurring performance reviews of lead-generation and marketing vendors, holding them accountable on cost, volume, and lead quality while managing relationships based on the numbers.
Research and recommend new marketing sources, identify and connect with vendors to open channels, and test performance with data before scaling spend.
Score lead quality by source through to sale and ensure accurate attribution of each sale to its originating source so marketing decisions are revenue-based.
Track marketing spend by platform and by market against outcomes, and recommend budget shifts toward what converts.
Own performance for the website and social media channels, tracking conversion from visit to lead, analyzing engagement and lead generation by channel, making recommendations for improvement, and coordinating execution with outside vendors.

Requirements

2–4 years of experience in sales operations, revenue operations, marketing analytics, or a closely related analytical role.
Strong Excel and Google Sheets skills, including the ability to model, pivot, and reconcile large datasets.
Hands-on CRM experience building reports, dashboards, and workflows, not only data entry; Quickbase experience is a plus (Salesforce, HubSpot, or similar also welcome).
Experience with BI and dashboarding tools such as Tableau, Power BI, Looker Studio, or similar.
Fluency in marketing performance metrics including cost per lead, cost per sale, and conversion by channel, with judgment to evaluate platforms, campaigns, and new sources based on the numbers.
Comfort managing external vendors and internal stakeholders, including running performance reviews and communicating clearly with sales leadership in the field.
Ability to turn data into a clear story for leadership and salespeople who do not live in spreadsheets.
Self-directed, detail-obsessed, and able to spot inconsistencies in reporting.
Familiarity with web and social analytics such as Google Analytics and Meta Business Suite (or similar tools).
Experience in home improvement, home services, or another direct-to-consumer sales environment is a plus.

Technologies

Quickbase
Salesforce
HubSpot
Tableau
Power BI
Looker Studio
Excel
Google Sheets
Google Analytics
Meta Business Suite
CRM

Location

Woodland Hills, CA (onsite)

Why Palm Construction

Real opportunity for growth: expansion into new markets and new functions, plus a clear path to leadership as the company scales.
Direct exposure to company leadership: your work informs decisions weekly.
Green-field opportunity: you will shape and build the reporting and analytics function.

Compensation

Salaried, full-time, exempt
$75,000–$100,000 per year, depending on experience
Pay range: $75,000.00 - $100,000.00 per year
Work location: in person

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21d ago

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union Vienna, VA

Vienna, VA

21d ago

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

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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

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24d ago

Performance Marketing Analyst

Servpro Broadview, IL

Broadview, IL

24d ago

$55k - $75k/yr Full time Manager Marketing Analytics

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Job Description

Servpro is hiring a Performance Marketing Analyst onsite in Broadview, IL to own paid growth, marketing analytics, and AI-powered systems across four franchise accounts in the greater Chicago area.

Key Responsibilities

Own Google Ads end to end for all four franchise accounts, including campaign structure, budgets, bidding, ad copy, keywords, and match-type strategy.
Run week-over-week and multi-week performance analyses; spot and address issues the same day (spend spikes, broad-match blowouts, runaway clicks).
Perform search-term audits and maintain negative-keyword lists by category (competitor brands, wrong service lines, DIY/research queries, cross-franchise negatives).
Identify and eliminate wasted spend; design and execute budget-reallocation plans across campaigns and locations.
Improve Quality Scores, tighten match types, and migrate to smart bidding (for example, Target CPA) when conversion volume supports it.
Ensure conversion-tracking integrity so calls, forms, and leads are measured correctly.
Understand restoration unit economics across water, fire, mold, biohazard, and commercial service lines and tie decisions to booked jobs and revenue.
Manage LSA account health by location, including velocity, response rate, and lead disputes (LSA is the lowest-CPA channel and must remain healthy).
Optimize Google Business Profile for LSA eligibility and local visibility: categories, Q&A seeding, and review-language shaping aligned to service + location + problem.
Maintain consistent NAP citations and off-domain entity signals to support local presence and AI-answer-engine visibility (AEO/GEO) for each location.
Maintain the live data layer (Supermetrics feeding Google Ads data) and pull fresh data before making performance claims.
Build dashboards and visualizations using Looker Studio, Tableau, or equivalent; deliver clear weekly performance reporting to franchise leadership.
Track the funnel stage by stage: click → lead → qualified → booked job → completed → review/referral and identify where it leaks.
Own attribution discipline, including CRM (DASH) lead-source naming convention and the offline-conversion path back into Google Ads.
Build and integrate AI-powered systems for the marketing team using Claude and its MCP connectors (Supermetrics and others).
Maintain and extend the AI Google Ads strategist (a Claude Project that runs analysis, flags issues, and drafts strategy from live data).
Train the team on AI-accelerated workflows (such as analysis in Excel) to reduce manual data wrangling each week.
Continuously evaluate tooling that increases output without adding headcount.
Run organic presence on LinkedIn, YouTube, and Reddit to support lead generation and brand authority.
Produce leadership LinkedIn content via ghostwriting in the owner’s voice to attract insurance carriers, commercial property managers, enterprise accounts, and government contracts.
Create case-study and authority content that differentiates locations from other franchises.
Keep the marketing operating system running: priority/tracker discipline, weekly and monthly meeting rhythm, and clear KPIs by role.
Coordinate with sales/marketing, in-house ads, office, and call-intake to keep lead handoff and source-tagging clean.
Lead, mentor, or manage marketing team members; enforce tracker and cadence accountability.
Interface with external partners (for example, the Google Ads account team) and represent the marketing function in leadership reviews.

Requirements

Bachelor’s degree in Marketing, Graphic Design, or a related field (preferred).
3–5+ years of relevant working experience in Digital Marketing.
Proven track record managing five-to-six-figure monthly budgets in Google Ads.
Proficiency in GA4, Looker Studio, and Google Ads budget management.
Deep understanding of the shift from SEO-Geo (local/generative) to AEO (Answer Engine Optimization).
Expertise with AI marketing tools, including implementing AI to improve workflow efficiency and campaign optimization.
Proficiency in Adobe Creative Suite (InDesign, Illustrator, Photoshop).
Strong communication skills, including the ability to present data as a story.
High attention to detail and strong organizational skills.

Technologies

Google Ads, Local Services Ads, Google Business Profile
Supermetrics, Looker Studio, Tableau
GA4, Claude, MCP connectors
Target CPA, Excel
LinkedIn, YouTube, Reddit
Google Ads budget management
Adobe Creative Suite: InDesign, Illustrator, Photoshop

Benefits

401(k)
401(k) matching
Dental insurance
Vision insurance
Referral program

Work Location

100% in person, reporting to the Broadview, IL office.

Pay

$55,000 - $75,000 per year

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24d ago

Marketing Data and Analytics Engineer

Fortune New York, NY

New York, NY

24d ago

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

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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

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1mo ago

Financial Analysis - Marketing - Senior Associate

JPMorganChase Wilmington, DE

Wilmington, DE

1mo ago Closed

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

This position is no longer accepting applications (closed Aug 23, 2026).

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