Promotions Analytics Manager

Ferrovial

$110K — $130K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a technical or quantitative field
  • 7-10+ years of experience in data analytics or marketing analytics
  • Hands-on experience with Databricks (Spark, SQL, notebooks, Delta Lake)
  • Proficiency in data science techniques such as clustering and regression
  • Strong experience in measurement methodologies like A/B testing
  • Experience managing and developing a team of analysts
  • Good to have: MLOps experience

Responsibilities

  • Lead and develop a team of analysts focused on promotions analytics
  • Own analytics targeting for the promotions program
  • Maximize program ROI through data-driven targeting
  • Deepen understanding of customer behavior to refine targeting
  • Develop reusable tools and methodologies for insights generation
  • Lead offer optimization for response and profitability
  • Design and own the measurement methodology for promotions

Benefits

  • Collaborative and innovative work environment
  • Opportunities to lead and develop a team
  • Access to the latest data analytics tools and techniques
  • Focus on professional growth and continuous learning
  • Encouragement for creative problem solving
Full Job Description
Job Description:

Summary:

The Promotions Analytics Manager is responsible for the analytics that drive the company's promotions program, which runs on a monthly, ongoing basis. This role owns analytics targeting, offer optimization, measurement, and performance reporting across the full promotional lifecycle. Working primarily in Databricks, the Promotions Analytics Manager builds and maintains the data pipelines, targeting models, and measurement frameworks used to decide which customers receive which offers, to optimize offer structure and value, and to quantify incremental impact. In each monthly promotion cycle, this person defines targeting and test/control groups, designs the measurement methodology, monitors in-flight performance, and delivers post-promotion reporting to senior management with clear read-outs on incrementality, ROI, and lift. Responsibilities also include developing internal analytics capabilities, establishing rigorous measurement standards, and leading and developing a team of analysts who deliver the program's targeting, optimization, measurement, and reporting. The Promotions Analytics Manager is expected to stay up-to-date on new methods, data sources, and analysis techniques.

Essential Duties and Responsibilities:
  • Lead, coach, and develop a team of analysts responsible for targeting, offer optimization, measurement, and performance reporting, setting priorities and quality standards across each monthly promotions cycle
  • Own analytics targeting for the monthly promotions program, building and maintaining the models and datasets that determine which customers receive which offers, with two goals in mind:
  • Maximize program ROI through data-driven targeting and offer selection
  • Deepen understanding of customer behavior and offer responsiveness to sharpen future targeting
  • Empower analysts to produce high-quality insights through the development of reusable targeting tools and measurement methodologies
  • Lead offer optimization for each monthly promotion cycle, designing and refining offer structure, value, and eligibility to improve response and profitability
  • Design and own the measurement methodology for the promotions program, including test/control and holdout design, incrementality and lift measurement, and A/B testing standards
  • Deliver monthly performance reporting, producing post-promotion read-outs and dashboards that quantify incrementality, ROI, redemption, and lift for senior management
  • Build and maintain promotions data pipelines and analytical datasets in Databricks, and stay current on new analytics methods, data sources, and tools


Qualifications (Knowledge, Skills & Abilities):

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required to fulfill those duties. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Education & Experience:
  • Master's degree in a technical or quantitative field from an accredited college or university
  • 7-10+ years of experience in data analytics, marketing/promotions analytics, or a related field
  • Hands-on experience with Databricks (Spark, SQL, notebooks, Delta Lake) for large-scale data processing and analytics
  • Proficiency in Data Science Techniques: clustering, regression, classification, uplift/propensity modeling, and anomaly detection
  • Strong measurement methodology experience: experimental design, test/control and holdout groups, incrementality and lift measurement, A/B testing, and causal inference
  • Experience managing and developing a team of analysts or data scientists
  • Good to have: experience with MLOps and with building agentic solutions


Professional Qualities:
  • Mindset for research and innovation. Active, curious, and ready to explore new ideas.
  • Superior writing and verbal communication skills, particularly technical report writing skills.
  • Able to summarize and present information and to present and explain findings and conclusions to senior management.
  • Effectively manage tasks and strict deadlines with independence and in an organized way.
  • Ability to interact with colleagues in a self-managed team structure.
  • Must be able to proactively multitask, problem solve and implement innovative processes within a fast-paced environment.


Work Environment & Physical Demands:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • The noise level in the work environment is usually quiet.
  • Some travel required; may include air travel.
  • The employee must occasionally lift and/or move up to 10 pounds.
  • Specific vision abilities required by this job include the ability to adjust focus, as necessary to use a computer.
  • While performing the duties of this job, the employee is regularly required to talk or hear.
  • The employee is frequently required to stand, walk, and sit.


Seize the challenge. Move the world together! Innovative, creative, respectful, and diverse are some of the ways we describe ourselves. We are motivated by challenges, and we collaborate across our business units to move the world together. Your journey to a fulfilling career starts here!

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