
Data and Analytics Lead
- Ciudad de México
- Permanente
- Tiempo completo
We are seeking a strategic and technically skilled Data and Analytics Lead to drive the development and execution of our data strategy. This role involves leading a team of data professionals to deliver actionable insights, enhance data infrastructure, and support data-driven decision-making across the organization.
The ideal candidate combines strong leadership capabilities with deep technical knowledge in analytics, data engineering, and business intelligence. You will play a pivotal role in transforming data into a strategic asset, guiding stakeholders through a data-driven culture, and ensuring scalable, efficient data solutions.Key ResponsibilitiesLeadership & Strategy
- Define and execute the organization’s data and analytics strategy in alignment with business goals.
- Lead and mentor a multidisciplinary team of data analysts, engineers, and scientists.
- Collaborate with C-level executives, department heads, and product owners to define data needs and analytics priorities.
- Oversee the design, development, and maintenance of scalable data pipelines, data warehouses, and BI platforms.
- Build and maintain dashboards and reporting systems to monitor KPIs and business performance.
- Translate complex data into actionable insights for stakeholders using storytelling and visualization.
- Ensure data quality, integrity, privacy, and compliance with data governance policies
- Establish standards for data collection, storage, access, and usage across the organization.
- Evaluate and implement tools and technologies for analytics, data integration, and visualization.
- Stay current on industry trends in AI/ML, data engineering, and emerging analytics techniques.
- Drive automation and advanced analytics initiatives (e.g., predictive modeling, segmentation, recommendation systems).
- Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Engineering, Economics, or related field.
- 6–10+ years of experience in data analytics, business intelligence, or data engineering roles.
- At least 2–4 years in a leadership or team lead capacity.
- Proven experience working with cross-functional teams and senior stakeholders.
- Experience in leading business system application and database architecture design, influencing technology direction in range of breadth of IT areas
- Strong knowledge of SQL, Python or R.
- 3-5 years of experience implementing data transformation pipelines using AWS solutions like Amazon Glu, Amazon Redshift, Amazon DMS, Amazon Event Bridge.
- Experience with modern data stack tools (e.g., Snowflake, BigQuery, DBT, Airflow).
- Proficiency with BI tools like Tableau, Power BI, Looker, or similar.
- Understanding of data modeling, ETL/ELT processes, and data architecture best practices.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
- Excellent communication and data storytelling skills.
- Strong problem-solving, critical thinking, and stakeholder management abilities.
- A collaborative mindset and the ability to mentor and grow a high-performing team.