Data analysts play a crucial role in transforming data into actionable insights to support business decisions across various departments. This include analyzing datasets, uncovering patterns, trends, and correlations, and delivering insights. Furthermore, the data analyst acts as a spear for data democratization and empowerment of business users in unlocking value from data them self's, by leading the discussions in data forums focusing on self-service analytics.

• The role possesses a balance between technical skills (like python, SQL) that allow the data analyst to analyze data, but at the same time soft skills and business understanding that allow for explaining and connecting analysis to business context. Futhermore possess ability to facilitate data forums with a group of users.

In this role we value:

01. Translate business challenges into data challenges

Understand the business challenge and sees the connection with data. Ability to identify, clean and leverage data based on business challenges.

Key Artefacts:

• Notebooks
• Presentations with data story telling
• Data Democratization training material

02. Translates data challenges into insights and data story telling in business language

Ability to build a larger business narrative around data and communicate the insights derived to a broader array of business stakeholders.

03. Facilitates cross-team conversations on data and promotes data democratization

Facilitates conversations with business external to the product team to promote data democratization and increased usage of data for business decision making.

Drives the data forums where business professionals working with data comes together to discuss, learn and help each other improve ability to work with data.

Agile Skills:

• Patient
• Empathetic
• Good communicator
• Excellent active listener
• Curious

Interaction with Product Manager, Data Scientist, Data Visualization Specialist, Scrum Master, Engineer, Agile Team