Data Analytics Specialist

hace 1 mes

Bogotá, Bogotá D.E., Colombia Kin + Carta A tiempo completo

About Kin & Carta


Kin & Carta is a global digital transformation consultancy committed to working alongside our clients to build a world that works better. We build digital solutions that connect people, data and technology for some of the world's most influential companies.



Job Description

Kin & Carta is looking to hire a Data Engineer to join our growing capabilities team. This role is responsible for analyzing a collection of raw data sets to create meaningful impact to large enterprise clients while maintaining a high degree of scientific rigor and discipline.



Key Responsibilities


  • Analyze a collection of raw data sets to create meaningful impact to large enterprise clients.
  • Engineer data pipelines and products to help stakeholders make and execute data driven decisions.
  • Communicate analytical findings in an intuitive and visually compelling way.
  • Conducting deep dive analysis and designing KPIs to help guide business decisions and measure success.
  • Engineering data infrastructure, software libraries, and APIs supporting BI and ML data pipelines.
  • Architecting cloud data platform components enabling the above.
  • Building and tracking project timelines, dependences, and risks.
  • Gathering stakeholder requirements and conducting technical due diligence toward designing pragmatic data-driven business solutions.


Requirements


  • Proven industry experience executing data engineering, analytics, and/or data science projects or Bachelors/Masters degree in quantitative studies including Engineering, Mathematics, Statistics, Computer Science or computation-intensive Sciences and Humanities.
  • Proficiency in programmatic languages such as SQL and Python.
  • Proven experience using Databricks.


Preferred Qualifications


  • Proficiency in visualization/reporting tools such as Tableau and PowerBI or programmatic visualization library such as R ggplot2, Python matplotlib/seaborn/bokeh, Javascript D3.
  • Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
  • Proficiency with cloud architecture components (AWS, Azure, Google).
  • Proficiency with data pipeline software such as Airflow, Luigi, or Prefect.
  • Ability to turn raw data and ambiguous business questions into distilled findings and recommendations for action.
  • Experience with statistical and machine learning libraries along with the ability to apply them appropriately to business problems.
  • Experience leading and managing technical data/analytics/machine learning projects.

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