- Lead medium- and high-complexity analyses that support the organization’s strategic decisions.
- Translate business challenges into data-driven solutions, metrics, automations, and artificial intelligence applications.
- Develop and enhance dashboards, data products, and analytical solutions using data visualization and exploration tools.
- Structure semantic models and ensure consistency in the definition and use of corporate metrics.
- Drive data quality, governance, documentation, and knowledge sharing related to data assets.
- Identify opportunities to apply Analytics and Artificial Intelligence to improve operational efficiency and support decision-making.
- Develop and enhance AI agents focused on analytics, process automation, data exploration, and access to corporate knowledge.
- Integrate different information sources and promote a unified view of business metrics.
- Influence stakeholders and leaders through data-driven presentations, recommendations, and narratives.
- Serve as the team’s technical reference, promoting best practices in Analytics, Data Visualization, Data Governance, and Artificial Intelligence.
Requirements
- Strong experience in Analytics, Business Intelligence, or related fields.
- Advanced knowledge of SQL.
- Advanced experience with data visualization platforms such as Power BI, Looker, or similar tools.
- Knowledge of data modeling, semantic models, and the development of corporate metrics.
- Experience developing KPIs, conducting strategic analyses, and creating data-driven stories.
- Excellent communication, influencing, and relationship-building skills with business teams and executive leadership.
- Experience automating analytical processes and transforming data.
- Experience with databases and cloud data platforms, especially BigQuery and Snowflake.
- Hands-on experience designing, developing, and using AI agents for data, analytics, and process automation.
- Ability to transform business problems into scalable, data-driven solutions.
- Experience with data governance, data catalogs, and data quality.
- Knowledge of applied statistics, experimentation, and predictive models.
- Experience with Data Warehouses, Data Lakes, and modern data architectures.
- Proficiency in Python for advanced analytics, automation, or machine learning.
- Experience developing Generative AI solutions for Analytics and knowledge management.
- Knowledge of RAG (Retrieval-Augmented Generation), Context Engineering, knowledge vectorization, and semantic search.
Core Competencies
Demonstrates expertise in Analytics, Business Intelligence, and Artificial Intelligence, with a strong focus on data visualization, governance, and the development of scalable data-driven solutions. Proficient in SQL, Python, and cloud data platforms, with the ability to influence stakeholders through effective communication and data storytelling.
Highest-signal resume keywords
- Analytics
- Business Intelligence
- SQL
- Data Visualization
- Artificial Intelligence
ATS Optimization Keywords
Hard Skills
- Data Modeling
- KPI Development
- Data Governance
- Applied Statistics
- Predictive Models
- Data Warehouses
- Data Lakes
- Python
- Generative AI
- Automation
Soft Skills
- Communication
- Influencing
- Relationship Building
Industry Keywords
- Data Quality
- Data Catalogs
- Semantic Models
- Data-Driven Solutions
- Process Automation
Tools & Technologies
- Power BI
- Looker
- BigQuery
- Snowflake