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Stelle · Mid-level

Business Intelligence Analyst

Data Analyst • Mid-level • Remote • Vollzeit Europäische Union EU/EMEA

Nimble Gravity is looking for a Business Intelligence Analyst to turn data into clear, actionable insights supporting business decisions, building dashboards and reports for stakeholders across the company.

Responsibilities

  • Analyze business data to identify trends, patterns and opportunities
  • Build and maintain dashboards, reports and visualizations
  • Work with stakeholders to translate business 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 help ensure accuracy, consistency and reliability across reports
  • Communicate findings and insights clearly to technical and non-technical audiences
  • Collaborate with data, engineering, product and business teams

Requirements

  • Experience in Business Intelligence, Data Analytics or a similar analytical role
  • Strong SQL skills and experience with relational databases
  • Experience with BI and data visualization tools such as Power BI, Tableau, Looker
  • Strong analytical and problem-solving skills
  • Ability to translate business requirements into metrics, dashboards and reports
  • Good understanding of data modeling and reporting concepts
  • Strong attention to detail and commitment to data accuracy
  • Clear communication skills
  • Ability to work independently and manage multiple priorities

Nice to have

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

Soft skills

Analytical and problem-solving mindsetClear communicationAbility to work independentlyAttention to detailStakeholder collaboration

About the company

Nimble Gravity helps organizations turn data, technology and AI into measurable business results, giving its growing team the chance to work with experienced professionals on real business problems.

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