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ferrovial·3 hours ago

Promotions Analytics Manager

Austin, United States of AmericaMid · 5-10 yearsH1B likely

About this role

Join Ferrovial: Where Innovation Meets Opportunity

Are you ready to elevate your career with a global leader in infrastructure solving complex problems and generating a positive outcome on people’s lives? At Ferrovial, we are not just a company; we are a community of innovators and trailblazers. Listed on three major stock markets: Nasdaq (US), Euronext Amsterdam (Netherlands) and IBEX 35 (Spain), we are also member of the Dow Jones Sustainability Index and FTSE4Good. We operate in more than 15 countries and have a workforce of over 24,000 professionals worldwide. Ferrovial’s activity is carried out through our business units, including Highways, Airports, Construction, and Energy.

Cintra is the highways business unit of Ferrovial, one of the world’s leading infrastructure operators committed to developing sustainable solutions. Today, its portfolio includes nearly 1,200 miles of managed highways globally, representing a total global investment in roadway improvements of over $24.8 billion. 

We provide the maximum value in each project, managing all phases of the life cycle of our state-of-the-art infrastructure assets, such as the 407 ETR in Canada, the Managed Lanes LBJ and NTE in Texas, I-77 in North Carolina, I-66 in Virginia and our projects in Europe, South America, and India. 

Why Ferrovial?

  • Global presence, local impact: Be part of a company that is shaping the future of infrastructure worldwide, with challenging roles and projects that make a real difference.
  • Collaborative excellence: Work alongside talented professionals in a collaborative environment where your ideas and contributions are valued.    
  • Inclusive Culture: Thrive in an innovative and respectful workplace that values every voice, celebrates what makes us unique and turns differences into innovation.
  • Career growth: Benefit from global and cross-business unit mobility, with development processes designed to ensure your professional growth.
  • Compelling benefits and employee wellbeing: Enjoy a comprehensive benefits package that rewards your hard work and dedication and take advantage of initiatives designed to support your physical and psychological health.
  • Productivity tools: Utilize cutting-edge tools like Microsoft Copilot to enhance your productivity and efficiency.

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 of this job. 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!

 

Ferrovial is an equal opportunity employer. We treat all jobs applications equally, regardless of gender, color, race, ethnicity, religion, national origin, age, disability, pregnancy, sexual orientation, gender identity and expression, covered veteran status or protected genetic information (each, a Protected Class), or any other protected class in accordance with applicable laws.

 

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