BI Analyst | Lisbon

Senior BI Analyst with expertise in data analytics, visualization, and automation. This role requires advanced skills in KNIME, a strong understanding of Snowflake, and proficiency in Tableau to create compelling, data-driven insights for decision-making. The ideal candidate will have a minimum of two years of experience working with KNIME and demonstrate strong SQL skills in Snowflake, as well as familiarity with data visualization best practices. Knowledge of Python and machine learning is a plus.

Key Responsibilities:

KNIME Workflows:

Design, develop, and maintain complex workflows in KNIME for data transformation, integration, and automation across diverse data sources.

Perform advanced data cleansing, manipulation, and enrichment processes, ensuring data quality and accuracy.

Snowflake Data Operations:

Utilize Snowflake to create and optimize SQL queries, views, and tables, ensuring high performance and efficiency across datasets.

Integrate data from multiple sources into Snowflake, designing scalable data models that support various business requirements.

Data Visualization and Reporting:

Develop advanced Tableau dashboards that provide actionable insights and support data-driven decision-making across departments.

Create visually compelling and complex visualizations, incorporating best practices for user interface and user experience.

Regularly update, optimize, and troubleshoot Tableau dashboards to enhance performance and accessibility.

Qualifications:

• Bachelor’s degree in Data Science, Business Analytics, Computer Science, or a related field.
• Minimum of 2 years of experience working with KNIME, Snowflake, and Tableau in a professional environment.
• Advanced expertise in KNIME for data workflows and process automation.
• Proficiency in Snowflake, with a solid understanding of SQL for writing and optimizing queries and views.
• Advanced skills in Tableau for building complex dashboards and data visualizations.
• (Preferred) Familiarity with Python and machine learning for data analysis.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.
• Detail-oriented, with a focus on data accuracy, quality, and efficiency.
• Ability to work collaboratively in a team environment, managing multiple projects and priorities.