Collect and Process Data: Extract data from various sources (databases, APIs, files, etc.), ensuring data quality and integrity.
Analyze and Interpret Data: Perform in-depth analyses to identify trends, patterns, and insights that support strategic decision-making.
Build and Maintain Dashboards: Contribute to the team that develops and manages dashboards and interactive reports using data visualization tools (e.g., Looker Studio, Power BI, Tableau). Create metric maps and translate business needs.
Communicate Insights: Present analysis results clearly and concisely to stakeholders, both technical and non-technical.
Support the Data Strategy: Collaborate with other teams to understand their needs and provide data solutions that support business objectives.
Model and Transform Data: Design, build, and optimize efficient data pipelines and models for complex analyses, with the support of a robust data team, platforms, and tagging.

Desired experience: In Business Intelligence, Data Analysis, or a similar field.
Advanced SQL: Proficiency in complex SQL queries for data extraction, manipulation, and analysis.
Visualization Tools: Hands-on experience and proficiency with BI tools such as Looker Studio, Power BI, or Tableau.
ETL Knowledge: Understanding of ETL (Extract, Transform, Load) processes and experience building data workflows.
Programming Language: Proficiency in at least one data analysis programming language, such as Python or R.
Analytical Thinking: Strong problem-solving skills, logical reasoning, and attention to detail.

Senior Business Intelligence Analyst

Key skills