Data Insights Manager (Marketing Analytics)

TL;DR

Data Insights Manager (Marketing Analytics): Leading and growing the marketing data & analytics function to deliver actionable insights and predictive models with an accent on multi-touch attribution and scalable data architecture. Focus on building a unified customer data layer, implementing reverse ETL workflows, and optimizing customer acquisition strategies.

Location: Madrid, Spain

Company

hirify.global supports businesses in their digital transformation and growth journey by providing secure and sustainable automation processes.

What you will do

• Lead, mentor, and grow a team of data analytics engineers, data scientists, and data engineers.
• Develop marketing data models and predictive analytics, including attribution, audience building, and propensity modeling.
• Drive the implementation of multi-touch attribution models specifically for B2B marketing environments.
• Oversee data transformation, reverse ETL workflows, and Master Data Management (MDM) initiatives.
• Collaborate with Marketing leadership to deliver actionable insights and improve targeting strategies.
• Contribute hands-on to technical work involving data modeling, transformation, and analytics workflows.

Requirements

• Proven experience leading teams delivering data engineering, analytics, or machine learning projects.
• Strong background in B2B marketing analytics and multi-touch attribution modeling.
• Hands-on proficiency in Python and SQL.
• Experience with modern data stacks including GCP, BigQuery, DBT, Dagster, or similar tools.
• Knowledge of data warehousing, reverse ETL, and data transformation processes.
• Experience with Tableau or equivalent BI tools.

Nice to have

• Experience with Machine Learning, propensity modeling, or AI-driven MDM solutions.
• Familiarity with CDP platforms such as Segment, Hightouch, or Eloqua.
• Experience integrating data across multiple CRMs and ERPs.

Culture & Benefits

• Unique opportunity to combine team leadership with hands-on technical contributions.
• Ability to shape the future of data-driven marketing within a future-focused business.
• Supportive environment that values diversity and professional skill development.