Analyst (Marketing Mix Modeling) Job at Keen Decision Systems (Cary)

Marketing Data Analyst

Are you looking for a new role? Are you looking to further your Marketing Analys...

Location

United Kingdom , Brentford

Salary:

40000.00 GBP / Year

Blu Digital

Expiration Date

Until further notice

Requirements

prior experience with in-platform attribution solutions within Power Bi, Google Analytics, Adobe, Medallia, Webtrends, form.com, Learnworlds
good understanding of statistical techniques and data modelling (e.g. regression, covariance analysis, inferential, predictive)
good understanding of the media industry including display programmatic, paid social, online video, affiliate, and paid search
Python experience is a must

Job Responsibility

supporting the decision-making based on data analysis and the development of media performance insights from the various data assets
working with the business to define specific requirements for measurement approach and data analysis
using statistical techniques to analyse the data and develop business insights that drive future strategic media decisions
analyse the customer funnel and make product enhancement recommendations based on data
design and support implementation of incrementality tests to understand the contribution of tested marketing activity to a wider marketing mix
preparing and presenting business-focused reviews based on full data analysis and interpretation along with recommendations and proposed actions

Marketing Mix & Attribution Modeling Lead- Data Science Manager

The Marketing Mix & Attribution Modeling Lead will manage a team of data scienti...

Location

United States , Columbus, Ohio; Westwood, Massachusetts; Johnston, Rhode Island

Salary:

190000.00 - 220000.00 USD / Year

Citizens Bank

Expiration Date

April 30, 2026

Requirements

8+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent
5+ years of experience in continuous and discrete dependent variable regression-based modeling
5+ years of experience coding in SQL, Python and maintaining standalone Python-based applications
3+ years of hands-on experience programming marketing mix modeling or comparable solutions in Python
Proven ability to lead high-performing teams through influence, accountability coaching and talent development
Expertise translating statistical models into scenario planning and optimization tools leveraging GAMS, PyOpt or a comparable platform that solves non-linear, constrained optimization problems
Expertise on Time-Series Modeling, with demonstrated ability to quantify uncertainty and model complex hierarchical data using Bayesian methods
Bachelor’s Degree in statistics, computer science, engineering, mathematics or similar quantitative field required
Master’s Degree preferred

Job Responsibility

Build, maintain, and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Citizens’ financial outcomes in the short and long term
Manage and lead the model development lifecycle for a suite of Marketing Mix Models, including data wrangling, exploratory data analysis, feature engineering and variable transformations, econometric model development, model validation, documentation, model governance management and monitoring
Decompose models and derive marketing “due-tos,” attributing financial outcomes to marketing impressions and spend. Derive marketing performance KPIs including Cost per Incremental Account (CPIAs) and Return on Marketing Investment (ROMIs)
Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products, channels, markets, and time
Automate the model development process to scale model building across all Citizens’ Consumer Lines of Businesses
Develop multi-touch attribution models using data driven statistical approaches beyond heuristic or rules-based models
Partner with Marketing Analytics SPOCs, Media Analytics & Insights colleagues, and Enterprise Marketing stakeholders to derive actionable insights and recommendations. Find opportunities to optimize the marketing mix and maximize NPV given a budget and/or minimize budget given a NPV goal
Become an expert across marketing channels, customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities
Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences
Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas

What we offer

competitive pay
comprehensive medical, dental and vision coverage
retirement benefits
maternity/paternity leave
flexible work arrangements
education reimbursement
wellness programs
paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States
opportunity to earn an annual discretionary bonus

Fulltime

Marketing Analyst

We are looking for a skilled Marketing Analyst to join our team in New York, New...

Location

United States , New York

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in marketing analytics with expertise in tools such as Google Analytics and Adobe Analytics
Strong knowledge of Google AdWords and CRM marketing strategies
Familiarity with marketing mix modeling and media marketing principles
Ability to interpret complex data and present actionable insights to stakeholders
Skilled in managing multiple projects in a fast-paced environment
Excellent communication and collaboration skills to work effectively with cross-functional teams
Understanding of advanced measurement frameworks and attribution models

Job Responsibility

Lead the development and execution of a comprehensive learning and measurement strategy for various brands
Design and implement robust in-market test plans, including media mix, channel effectiveness, creative impact, and audience segmentation
Analyze complex test data and translate findings into strategic recommendations for senior stakeholders
Act as a liaison between media investment, data science, and strategy teams to ensure smooth execution of testing initiatives
Collaborate with econometrics-focused teams to validate and enhance marketing mix modeling insights
Oversee multiple test-and-learn initiatives simultaneously, managing timelines, deliverables, and reporting outcomes
Provide guidance on transitioning to advanced measurement frameworks, moving beyond traditional attribution models

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Senior Data Scientist - MKT Optimisation

Sitting at the intersection of business and engineering, Data Scientists work in...

Location

Spain , Madrid;Barcelona

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

You have solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
You have a strong understanding of statistical analysis and modeling including regression, clustering, and time series analysis and forecasting
You have prior experience working in Web analytics and marketing optimisation problems such as Attribution, Marketing Mix, and funnel optimisation
You are a master of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
You can work effectively with data engineers, analysts, software engineers, etc
You can turn your ideas into reality
You have a scientific mindset, a problem-first attitude and are highly self-critical
You can translate complex problems into mathematical formulations
You have an entrepreneurial spirit, get stuff done and thrive in a fast paced environment
You are comfortable with software engineering best practices and write robust, reproducible and maintainable code

Job Responsibility

You will work closely with our stakeholders in marketing, product, and engineering to devise data-driven solutions to optimise our marketing efforts
You will develop and maintain attribution and marketing mix models to accurately quantify the impact of various marketing channels
You will devise models to drive campaign targeting and budget allocation to optimise the return of investment and efficiency of marketing campaigns
You will design, execute, and analyze marketing optimisation experiments, leveraging statistics, econometric models, and causal inference techniques to determine the true impact of specific marketing interventions.

What we offer

Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance
Stock options
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Flexible hybrid model. Our offices are located in Madrid and Barcelona
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership

Fulltime

Senior Data Scientist, Marketing

We’re hiring a Senior Marketing Data Scientist to partner closely with Harvey’s ...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce, Marketo and Ads spent data
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Job Responsibility

Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth
Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution
Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives
Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey

What we offer

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

Senior Data Scientist, Decisions

Rocket Money is looking for a Senior Data Scientist to drive marketing efficienc...

Location

United States , San Francisco, CA; Washington, D.C.; New York City, N.Y.; Silver Spring; Miami; Denver

Salary:

180000.00 - 220000.00 USD / Year

Truebill

Expiration Date

Until further notice

Requirements

6+ years of professional experience in data science
Proficiency in SQL
Proficiency in at least one scripting language
Proficiency in statistical modeling
Proficiency in engineering scalable experimentation solutions
Expert level experiment design and assessment skills
Direct experience building production grade tooling for operational use by teams of internal decision makers
Experience driving marketing and product strategy with experimental and observational data
Experience working with engineering teams to design optimal feedback signals between applications and ad networks or build experimentation platforms
Proven ability to collaborate across teams and communicate technical insights effectively

Job Responsibility

Lead internal marketing effectiveness measurement and estimation approaches
Lead projects from start to finish
Design and conduct experiments to estimate the impact of marketing and product strategies
Lead a systematic marketing and product experimentation program
Contribute to product experimentation via expert level experimental design, assessment, and collaboration with product managers
Work with data engineering and analytics teams to build scalable and durable machine learning to data analytics pipelines
Build, test, and deliver internal facing predictive tools
Effectively design and assess experiments for a variety of user facing experiences
Mentor other members, participate in code reviews, and ensure quality in production systems
Work with engineering teams to design and architect predictive feedback mechanisms for digital ad networks and add new features to our in-house experimentation engine

What we offer

Health, Dental & Vision Plans
Life Insurance
Long/Short Term Disability
Competitive Pay
401k Matching
Team Member Stock Purchasing Program (TMSPP)
Learning & Development Opportunities
Tuition Reimbursement
Unlimited PTO
Daily Lunch, Snacks & Coffee (in-office only)

Fulltime

Senior Marketing Analyst

We are looking for a Senior Marketing Analyst who can own advanced marketing mea...

Location

Germany , Berlin

Salary:

Not provided

FoodLabs & Atlantic Labs

Expiration Date

Until further notice

Requirements

minimum 5–7 years in marketing analytics, econometrics, or performance analysis, ideally in large-scale digital/ dynamic scale-up environments
Advanced SQL and Python/R
experience with MMM frameworks, attribution models, and BI tools
understanding of tracking
Strong statistical reasoning and data modelling expertise
Confidently balancing precision with business pragmatism
Clear storyteller
can translate technical outputs into business implications
Applies privacy-by-design principles
familiar with GDPR/DMA constraints on measurement

Job Responsibility

own advanced marketing measurement end-to-end — from model design to executive-ready insights
drive analytical depth within the Marketing Intelligence team
designing and implementing measurement solutions across attribution, LTV, and marketing-mix modelling
serve as the analytical engine behind spend optimisation and long-term planning

What we offer

A competitive and attractive compensation package
A diverse team of more than 45 nationalities

Fulltime

Director Performance Analytics

As Director of Performance, you will lead the strategy, implementation, and cont...

Location

United States , Los Angeles; New York

Salary:

174000.00 - 215000.00 USD / Year

80Twenty

Expiration Date

Until further notice

Requirements

8+ years in marketing analytics, growth analytics, or performance marketing
mobile and digital marketing experience required
Deep expertise in paid acquisition ecosystems, including attribution, UA optimization, and media platforms (Meta, Google, TikTok, DSPs)
Advanced proficiency in SQL and a scripting language (Python, R)
strong skills in handling large datasets
Experience with data visualization tools (e.g., Looker, Tableau, Power BI)
Proven track record designing experiments and translating results into strategic actions
Familiarity with ETL tools and collaboration with data engineering teams
Excellent communication and storytelling skills with non-technical stakeholders
Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Computer Science, Economics)

Job Responsibility

Architect performance measurement systems using internal models, tools, and third-party solutions
Lead development of dashboards and reporting infrastructure to monitor CPI, ROAS, LTV, retention, and other key KPIs
Analyze marketing performance across paid media, CRM, social, community, and growth channels
deliver actionable insights
Drive test-and-learn initiatives, including A/B tests, incrementality studies, and media mix modeling
Define and evolve attribution models suited to modern privacy environments (e.g., multi-touch, probabilistic, MMM)
Integrate data from ad platforms, MMPs, behavioral telemetry, and product systems into unified growth models
Collaborate with engineering and data teams to ensure scalable, clean, and reliable data infrastructure
Communicate complex analyses clearly to executive stakeholders through strategic storytelling
Manage and mentor analysts or BI contributors to grow analytics capabilities across the team

Analyst (Marketing Mix Modeling)

Keen Decision Systems

Location:
United States , Cary

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 09, 2025

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