Manager in Marketing Analytics & Data Science Job at Assessfirst (New York)

Manager in Marketing Analytics & Data Science

Join Ekimetrics, a leading data science and AI solutions provider, as a Manager ...

Location

United States , New York

Salary:

140000.00 USD / Year

Chat3D

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness
Understanding of media variables/econometrics and prior modelling experience across large data sets
Knowledge and/or understanding of coding languages such as Python (preferable) or R
Experience working with clients and account management
Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues
Team oriented and collaborative working style, both with clients and those within the organization
Capacity to develop high impact thought leadership that articulates a forward thinking view of the market
Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders
Demonstrated ability to develop younger talent and build a high performing team

Job Responsibility

Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level
Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously
Cultivating your external network with a client centric approach
Responsible for the production of statistics and econometrics modeling
Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered
Ability to manage data scientists
Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement
Broad client relationships at VP level in order to achieve new business opportunities
Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels
Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics

What we offer

Medical insurance, dental and vision
An emphasis on work-life-balance and generous PTO
Dynamic environment with a strong culture and great offices
Close-knit team with friendly environment, bi-monthly team events and more
Creative and entrepreneurial start-up environment with vertical mobility
Best-in-class methodologies and cutting edge technologies
Unique training package with 70+ sessions
Growth to develop a double profile in data science and strategic consulting
Client exposure up to the executive level
Opportunities for international mobility

Fulltime

Executive Manager - Marketing Data & Analytics

This is the primary Analytics partner that supports the US-based eCommerce Marke...

Location

India , Hyderabad

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative field (e.g. statistics, economics, mathematics, business administration, marketing)
Masters degree preferred
10+ years of experience in marketing/media strategy & analytics and measurement
preferably in the CPG/FMCG space and for a Global company in the digital media space
Experience in omnichannel marketing, attribution, A/B and Multivariate test design and implementation, and ROI measurement
Robust experience in the languages of data manipulation (e.g. SQL, R) and in visualization (e.g. Tableau, Datorama)
High proficiency in Microsoft Excel and PowerPoint. Mastery of data, ingest, manipulate and model data
Strong organizational skills, with the ability to effectively manage projects and communicate effectively
Strong communication skills (both written and verbal) and the ability to distill complex ideas down to clear and concise business findings and recommendations
Requires a high level of regular/daily interaction and co-ordination with several teams

Job Responsibility

Partner with Customer & Brand Marketing teams on various analysis: A/B testing, Campaign impact measurement, Investment strategy, Financial forecasting, and retailer data partnerships. CONSULT, EXECUTE
Partner with Search Marketing team on various analysis: Search incrementality experiments, Search strategy/investment recommendations. CONSULT, EXECUTE
Partner with Data Science and Tech teams to consult on retailer data warehousing and architecture, automated reporting/dashboards, and ROI engine. CONSULT, EXECUTE
Lead ROI Engine process on behalf of eComm Marketing – collect, clean, and submit all Customer and Search Marketing campaign data
validate data and reporting output at various stages of ROI Engine model
Lead & Build RMN sufficiency modelling to feed into critical PEP processes i.e. AOP
This role embodies a mixture of CONSULTING (being the Subject Matter Expertise for various cross-functional teams) and EXECUTION (leading/conducting deep analysis to guide business decisions)

Fulltime

Marketing Data Science Manager

We are seeking a Marketing Data Science & Analytics Manager who can bridge the g...

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

10 years marketing analytics and data science
Experience at Education, Retail, e-commerce, telecom, CPG, or B2C at scale
Media agencies with MMM ownership (e.g., Analytic Partners, Neustar, Gain Theory, Merkle)
Has built MMM end-to-end and have deep understanding on marketing media optimization, not just contributed
Experience presenting MMM outputs to executives and adjusting the model based on business feedback
Search / tROAS / Value-Based Bidding
Hands-on experience building or maintaining: tROAS models, geo experiments, incrementality tests
Media spend optimizers and bid strategies
Understands channel behavior and measurement nuances

Job Responsibility

Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization)
Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders
Present findings to senior stakeholders through clear storytelling and visualization
Visualize and present analytical results using tools like Power BI, Excel, etc
Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure)
Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization)
Collaborate with data engineers and analysts to improve data accessibility and accuracy
Support ongoing model performance monitoring and iterative improvements
Support MMM and app maintenance and development for simulation and optimization and further development. Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc
Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI

Senior Manager, Data Science & Analytics

Senior Manager, Data Science & Analytics in the Customer, Digital & Marketing sp...

Location

Ireland , Dublin

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Master's degree required (Ph.D. preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, or a related analytical discipline
8+ years of experience in data and analytics, including 3+ years in leadership roles driving large-scale projects, ideally within retail or customer/digital/loyalty domains
Extensive experience with data & analytics approaches such as exploratory data analysis, descriptive analytics, hypothesis testing, and A/B testing, as well as Agile development methodologies
Proficiency in programming languages such as Python, SQL, and R, along with hands-on experience on cloud-based platforms (e.g., Azure, Snowflake, Databricks)
Solid working knowledge of data engineering workflows including ETL processes, real-time and batch processing, model deployment, and version control best practices
Proven track record of delivering measurable results from customer loyalty programs in large retail environments
Ability to translate data, analytics, and AI/ML insights into actionable business strategies and outcomes, supported by a strong commercial mindset
Demonstrated ability in talent acquisition, team development, coaching, and mentoring
Excellent communication skills with the ability to clearly articulate technical information to all levels of the organization and collaborate effectively with cross-functional teams
Strong stakeholder management skills, with experience engaging diverse teams and senior leaders across geographies and managing multiple projects with clear prioritization and timeline communication

Job Responsibility

Collaborate with business stakeholders and digital product teams to define business requirements, KPIs, and acceptance criteria for customer loyalty and marketing analytics initiatives
Act as a data-driven thought partner to Loyalty and Marketing teams, providing analytical support and challenging priorities based on insights
Develop and own Customer Analytics Strategic Roadmap aligned with company goals, serving as the key decision maker for all Loyalty & Customer Data initiatives
Lead the design, development, and deployment of advanced analytics and AI/ML models to optimize customer segmentation, personalization, loyalty programs, and promotions
Oversee the end-to-end analytics and data science workflow including data preprocessing, feature engineering, model training, validation, deployment, and evaluation (e.g., A/B testing)
Partner with Marketing, Digital, Operations, and Technology to ensure robust data pipelines, scalable model deployment, and data-driven decision making
Enhance agility by proactively identifying and remediating data issues
Present actionable insights and recommendations to senior leadership to influence business strategies and continuously enhance the value generation from loyalty programs
Recruit, mentor, and lead a high-performing team, fostering a culture of continuous learning, innovation, and diversity
Provide guidance on career development, resource allocation, and recruitment for analytics talent

What we offer

Complete benefits packages (health insurance, pension contribution etc.)
Possibility of enrolling in stock purchase plan
Employee discount on fuel
Learning opportunities to develop new skills and to evolve professionally in a fast-growing company

Fulltime

Executive Manager - Marketing Data and Analytics

The scope of the role is to own all Paid Media Marketing analytics priorities, i...

Location

India , Hyderabad

Salary:

Not provided

Pepsico

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative field (e.g. statistics, economics, mathematics, business administration, marketing)
Masters degree preferred
8+ years of experience in marketing/media strategy & analytics and measurement
preferably in the CPG/FMCG space with a good understanding of eCommerce
Experience in omnichannel marketing, attribution, A/B and Multivariate test design and implementation, and ROI measurement
Robust experience in the languages of data manipulation (e.g. SQL, R) and in visualization (e.g. Tableau, Datorama)
High proficiency in Microsoft Excel and PowerPoint. Mastery of data, ingest, manipulate and model data
Strong organizational skills, with the ability to effectively manage projects and communicate effectively
Strong communication skills (both written and verbal) and the ability to distill complex ideas down to clear and concise business findings and recommendations
Requires a high level of regular/daily interaction and co-ordination with several teams

Job Responsibility

Own all Paid Media Marketing analytics priorities, investment requirement/strategy for the ecommerce marketing team, from forecasting/budgeting analysis, to post-campaign reporting, to all data collection/input/validation of ROI engine/MMM models
Work closely with eComm Performance Marketing teams, Merchandising teams and the sales team within GCC and eCommerce Marketing & Key Account Management teams within markets
Perform quarterly deep dive analysis on performance marketing campaigns vs agreed KPIs and in particular iROAS which will critically make recommendations on how to optimize the eComm marketing strategy & A+M budgets required to drive Pepsico growth
Lead Retail Media ecomm sufficiency modelling and Retail Media effectiness Model for incrementality measurement
Partner closely with several teams eComm Omni Marketing, eComm Brand Marketing, and eComm Search marketing teams to conduct regular and ad hoc analysis to better drive media investment and optimization decisions geared towards incremental growth for the eCommerce business
Partner with Customer & Brand Marketing teams on various analysis: A/B testing, Campaign impact measurement, Investment strategy, Financial forecasting, and retailer data partnerships
Partner with Data Science and Tech teams to consult on retailer data warehousing and architecture, automated reporting/dashboards, and ROI engine
Lead ROI Engine process on behalf of eComm Marketing – collect, clean, and submit all Customer and Search Marketing campaign data
validate data and reporting output at various stages of ROI Engine model
Lead sufficiency modelling to feed into critical PEP processes i.e. AOP

New

Senior Manager, Data & Analytics

We are seeking a strategic and technically strong Senior Manager, Data & Analyti...

Location

United States , Cedar Knolls

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data analytics, preferably within agency, marketing, growth, or customer-focused environments
Bachelor's degree in Data Analytics, Business Intelligence, Data Governance, or a related field
advanced degree preferred
Proven experience integrating data from multiple sources into unified analytical models
Strong background in statistics, econometrics, applied mathematics, or related quantitative disciplines
Experience developing scoring systems, attribution models, segmentation frameworks, and other advanced analytical solutions tied to business outcomes
Ability to communicate complex analytical findings to executive and non-technical audiences
Experience balancing hands-on analytics with leadership responsibilities
prior people management experience preferred
Strong proficiency with Microsoft SQL, Power BI, Excel, and related analytics and reporting tools

Job Responsibility

Enterprise Data Strategy & Integration: Design and manage a unified data ecosystem integrating sales, marketing, CRM, web analytics, and operational data
Develop scalable data models and frameworks that provide full-funnel visibility from acquisition through retention and revenue
Establish governance, validation, and data quality standards to ensure accuracy and consistency
Advanced Analytics & Decision Science: Develop scoring models, segmentation frameworks, and prioritization methodologies to identify growth opportunities
Conduct statistical analysis, correlation studies, predictive modeling, and causal inference to uncover performance drivers
Build attribution models to measure marketing and sales effectiveness
Translate analytical findings into actionable business recommendations and strategic decision frameworks
Performance Optimization & Measurement: Create measurement frameworks spanning awareness, engagement, conversion, retention, and customer lifetime value
Identify opportunities and friction points throughout the customer journey
Define, monitor, and optimize KPIs aligned with business growth objectives

What we offer

medical benefits
vision benefits
dental benefits
life insurance
disability insurance
401(k) plan

Fulltime

Analyst, Commercial Analytics & Data Science

As a Pathways: Analyst, Commercial Analytics & Data Science, you’ll support the ...

Location

United States , New York

Salary:

75000.00 - 95900.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Must be a recent graduate from an accredited HBCU (Within the last 2 years, or expected to graduate by June 2026)
Strong interest in marketing and a desire to learn about marketing analytics and data science
Excellent time management and attention to detail
Excellent written and verbal communication skills
Interpersonal skills and ability to interact and work with other staff
Willingness to take initiative and to follow through on projects
Ability to work independently and in a team environment
Commitment to internal client and customer service principles
Understanding of Machine Learning including concepts such as preprocessing, feature engineering, and training models
and supervised machine learning models such as Logistic Regression, XGBoost, etc.

Job Responsibility

Assist the Commercial Analytics team to implement A/B tests and create data-driven insights to continuously optimize business performance and subscriber outcomes
Assist in model development and other data products to support marketing decision making
Perform data extraction by querying databases to answer questions from marketers and provide insights for decision-making
Build automated monitoring systems, dashboards, and alerts to proactively detect issues in model scoring, runtime, cost, and output delivery, including ensuring model inputs/predictors are available and up-to-date for each scoring cycle, verifying that models execute successfully and generate expected outputs, monitoring downstream delivery of model scores (e.g., into Salesforce) to ensure seamless integration with customer journeys
Collaborate across CADS, Data Engineering, and MarTech teams to troubleshoot and resolve production issues rapidly, minimizing disruptions to marketing campaigns
Evaluate and integrate new data sources and design pipelines with proper documentation for feature engineering

Fulltime

Data Science Manager

As a Data Science Manager within the Customer Development XOPS team in Data Foun...

Location

United States , Hoboken

Salary:

103000.00 - 154400.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Degree qualified in a relevant technical discipline (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, or similar)
Proven experience leading data science teams working on complex analytics initiatives in a commercial or product-driven environment
Strong background in data science modelling, with deep expertise in several of the following: Econometric modelling (Regression, Bayesian approaches) especially in the context of pricing and promotions in the CPG/Retail space
Time series forecasting
Simulation and optimisation tools
Experience designing and industrialising machine learning solutions at scale
exposure to agent-based AI systems is a strong advantage
Advanced proficiency in Python, Spark, and modern analytics stacks
hands-on experience with Databricks and Azure
Strong people leader with experience coaching and developing talent in multidisciplinary teams

Job Responsibility

Own and shape the data science roadmap for products within our Customer Development (CD) portfolio, aligned to commercial priorities and business outcomes
Lead the design, development, and deployment of diagnostic, predictive, and prescriptive analytics solutions, ensuring robustness, scalability, and interpretability
Set modelling and analytical standards across the team, covering classical statistical methods, machine learning, and emerging Generative and Agentic AI capabilities
Ensure solutions are industrialised and production-ready, leveraging cloud platforms (Azure, Databricks) and aligned with MLOps best practices
Lead, coach, and develop a team of data scientists, supporting both technical growth and career progression
Foster a culture of high ownership, continuous improvement, and learning, encouraging experimentation while maintaining delivery discipline
Provide technical guidance and review, acting as a mentor and escalation point for complex analytical challenges
Partner closely with Product, Engineering, and Business stakeholders to shape problem definitions, prioritise initiatives, and drive adoption of data science solutions
Translate complex analytics into clear, actionable insights for senior stakeholders, supporting data-driven decision-making
Balance short-term delivery with long-term capability building, ensuring alignment between local market needs and global product strategy

What we offer

Health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

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Manager in Marketing Analytics & Data Science

Job Description

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