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Business Intelligence Analyst

Nimble Gravity · Bogota

Mid 🇬🇧 English
SQL Power BI Tableau Looker Data visualization Data modeling

Job description

About the role

Nimble Gravity helps organizations turn data, technology and AI into measurable business results. It is looking for a Business Intelligence Analyst to help turn data into clear, actionable insights that support business decision-making. The role suits someone who enjoys working with data, understanding business needs and building dashboards and reports that make complex information easy to understand.

Key responsibilities

  • Analyze business data to identify trends, patterns and opportunities.
  • Build and maintain dashboards, reports and visualizations for business teams and stakeholders.
  • Work with stakeholders to turn their questions into reporting and analytics solutions.
  • Write and optimize SQL queries to extract, transform and analyze data from multiple sources.
  • Define and track key business metrics and KPIs.
  • Validate data and ensure accuracy and consistency across reports and dashboards.
  • Communicate findings clearly to technical and non-technical audiences.
  • Collaborate with data, engineering, product and business teams on analytics initiatives.

Required profile

  • Experience in Business Intelligence, Data Analytics or a similar analytical role.
  • Strong analytical and problem-solving skills.
  • Ability to translate business requirements into metrics, dashboards and reports.
  • Good understanding of data modeling and reporting concepts.
  • Attention to detail, clear communication and ability to work with diverse stakeholders.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.

Required skills

  • Strong SQL skills and experience with relational databases.
  • BI and data visualization tools such as Power BI, Tableau or Looker.
  • Nice to have: cloud data platforms (Databricks, Snowflake, BigQuery), Python, consulting or client-facing experience, and familiarity with modern data warehousing and analytics practices.

Questions fréquentes

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Published 1 week ago

Expires 1 month from now

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