Lead Data Insights Strategist

hace 1 día


Medellín, Antioquia, Colombia Chef an Isobar Company A tiempo completo

Our team at Chef an Isobar Company is seeking a highly skilled Sr. Data Analyst to join our dynamic group of professionals.

We are looking for a seasoned data expert with a strong background in Python, Tableau, and data science fundamentals to drive business growth through insightful reporting and analytics.

The ideal candidate will have 4+ years of experience working with data analytics and/or business analytics, with a solid understanding of utilizing Python to connect to external data sources and publish final data outputs to a centralized location.

A strong proficiency in Tableau, including the ability to establish primary data sources, build detailed/robust visualizations, and centralize within a comprehensive dashboard view is required.

The successful candidate will be able to translate complex data into actionable insights, work directly with databases, data cleansing, manipulation, and visualization.

In addition to technical skills, we are looking for someone who is driven by innovation, curiosity, and an appreciation of technology, with unrelenting curiosity and the ability to provide insight on complex business problems by autonomously managing cross-team projects.

As a valued member of our team, you will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the development of next-generation solutions.

We offer a competitive salary of **$88,000 - $110,000** per annum, depending on experience, plus a range of benefits that promote work-life balance and career growth.

Key Responsibilities:
  • Develop and maintain high-quality data analytics deliverables, including reports, dashboards, and data visualizations.
  • Design and implement data pipelines to extract, transform, and load data from various sources.
  • Analyze complex data sets to identify trends, patterns, and correlations, and communicate findings to stakeholders.
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
  • Stay up-to-date with industry trends and emerging technologies, and recommend new tools and methodologies to improve data analytics capabilities.

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