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Nimble Gravity

AI-led data strategy and engineering consulting

Business Intelligence Analyst

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • Experience in Business Intelligence, Data Analytics, or a similar analytical role.
  • Strong SQL skills and experience working with relational databases.
  • Experience with BI and data visualization tools such as Power BI, Tableau, Looker, or similar.
  • Ability to translate business requirements into meaningful metrics, dashboards, and reports.
  • Good understanding of data modeling and reporting concepts.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.

Responsibilities

  • Analyze business data to identify trends, patterns, and opportunities.
  • Build and maintain dashboards, reports, and visualizations that support business teams and stakeholders.
  • Work with stakeholders to understand business questions and translate them 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 help ensure accuracy, consistency, and reliability across reports and dashboards.
  • Communicate findings and insights clearly to both technical and non-technical audiences.
  • Collaborate with data, engineering, product, and business teams on analytics initiatives.

Desired Qualifications

  • Experience working with cloud data platforms such as Databricks, Snowflake, BigQuery, or similar.
  • Familiarity with Python or other data analysis tools.
  • Experience working in consulting or client-facing environments.
  • Familiarity with modern data warehousing and analytics practices.

About the Company

Nimble Gravity

AI-led data strategy and engineering consulting

1) What it does: Nimble Gravity helps organizations integrate data and AI into their business strategy and delivers end-to-end technology solutions, across Artificial Intelligence, Data, and Digital Engineering. 2) How it works: it partners with boards and operations teams to translate strategic goals into actionable AI/data programs and then implements the solutions, including AI strategy, machine learning, data engineering, and e-commerce development. 3) How it differs: it combines strategic consulting with hands-on technology delivery, leverages acquisitions (Ranta Digital, iGerencia) to broaden capabilities, and partners with platforms like Microsoft Azure to move projects from experimentation to production. 4) Goal: to make data and AI a core driver of growth and profitability for clients.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Denver, CO
Founded
2019

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