Analytics Lead Manager: Data Platform & Insight

Auxis LLC

Bogotá

Presencial

COP 180.000.000 - 240.000.000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante
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Descripción de la vacante

Auxis LLC in Bogotá seeks an Analytics Lead to steer a team of analytics engineers, delivering trusted data products, semantic models, and self-service analytics that turn enterprise data into actionable insight. You will define the analytics roadmap, champion data literacy, govern AI-ready data, and partner with the Head of Data & Analytics to maximize business value across the organization.

Lead engineering standards, drive AI-enabled data preparation, and manage executive stakeholder

Formación

  • 10+ years of leadership in analytics delivery and BI/insight products.
  • 3+ years in leadership or team-lead roles.
  • Proven ability to deliver enterprise-grade analytics with governance and data quality.
  • Strong SQL and Python for data validation and analytics.

Responsabilidades

  • Strategy, Roadmap & Service Ownership aligning analytics with enterprise strategy.
  • Define analytics services and tiered offerings with measurable value.
  • Governance, data quality, lineage, and metadata for analytics outputs.
  • Lead analytics engineers and define operating model and career paths.

Conocimientos

Leadership
Analytics delivery
BI & visualization
SQL & Python
Data modeling
Agile delivery
ML & NLP
Executive communication

Educación

Bachelor’s degree in IT/CS/Engineering/Analytics
Snowflake experience

Herramientas

Power BI
dbt
Snowflake
Informatica IDMC

Descripción del empleo

Auxis LLC in Bogotá seeks an Analytics Lead to steer a team of analytics engineers, delivering trusted data products, semantic models, and self-service analytics that turn enterprise data into actionable insight. You will define the analytics roadmap, champion data literacy, govern AI-ready data, and partner with the Head of Data & Analytics to maximize business value across the organization.

Lead engineering standards, drive AI-enabled data preparation, and manage executive stakeholder

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