Objective:

Plays a crucial role in data analysis and interpretation, seeking relevant insights to support strategic decision-making. A passion for analyzing fragmented data and connecting them allows generating information that influences the emergence of new hypotheses and business opportunities. The ability to ask the right questions and apply data visualization techniques is essential for effective communication.

Responsibilities:

Collect, clean, and organize the data needed for analysis, ensuring its integrity and quality.

Collaborate with the team to design the best data structure that ensures the functional and non-functional requirements of data analysis and usage.

Apply descriptive analyses and use advanced data analysis techniques to identify patterns, trends, and relevant insights.

Formulate strategic questions, business hypotheses, and experiments to guide data analysis.

Have knowledge of statistical models and algorithms for predictive and segmentation analysis.

Create visual stories and narratives to communicate data insights clearly, considering the context in which they are embedded.

Collaborate with multidisciplinary teams to understand their analytical needs and support them with relevant information.

Conduct feasibility analyses and evaluate results for data-driven projects.

Stay updated on trends and advances in data analysis and visualization techniques.

Provide guidance and training on data analysis to other team members when necessary.

Ensure compliance with data privacy and security policies, including relevant data protection legislation.

At position map level 4, you can assist in team management by providing guidance, support, and direction for the development of activities and careers.

Experience required:

Tableau: Ability to create and modify existing Tableau dashboard (client facing).

UX: Can suggest best layout and UX with minimal prompt.

SQL proficiency.

Data Analysis: Data fluency, ability to assess datasets and produce statistics.

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