Data Insights Analyst

Job Description

Job Description

This position performs data management and analysis tasks within a specific functional area or data type. Requires heavy communication with data sources/contacts.

Responsibilities:

• Use your deep knowledge of user behaviour to define performance metrics with your stakeholders that align with user success and satisfaction, and commercial outcomes.
• Make sure teams have implemented tracking and tagging to measure those KPIs

• Set up dashboards and reports to track performance.
• Align reporting and internal business intelligence (BI) with stakeholder requirements
• Identify and test opportunities for improvements.
• Grounded in deep analysis of our datasets, generate hypotheses and validate them through experimentation and AB testing.
• Deliver these together with product managers, designers, UX and engineers.

• Innovate and discover new insights by diving deeply into the data, combining various sources (including database and web-analytics data sources) from across the business.
• Support decisions and resolve strategic questions.

• Communicate insights and information effectively and engagingly, through presentations, reporting and dashboards to all levels of the organisation.
• Advocate for a data-driven culture and help your stakeholders in how to interpret results.
• Requirements:

• Bachelor's degree holder
• Proven experience (2+ years) as an analyst or BI developer, supporting Product and / or Marketing Managers by analyzing user behaviour, product feature or marketing campaign performance.
• Experience in digital product optimisation, A/B testing, incl. web-analytics tools and techniques.
• Demonstrable experience in data analysis and insight generation with business impact.
• Ability to initiate and drive projects to completion with minimal guidance.
• Knowledge of agile project management principles as well as use of tools like Jira and Confluence.

• Intermediate level proficiency with SQL
• Experience working with Business Intelligence tools like Power BI and Tableau
• Experience with working with large data sets in cloud data warehouse services (AWS, Databricks, Snowflake)
• Experience with Digital Analytics tools such as Google Analytics, Adobe Analytics, Mix Panel, Amplitude, Matomo or Piwik Pro.
• Working knowledge of Python of R desirable but intention to learn either will be essential

• Strong communicator and fluent in English (speaking and writing).
• Ability to communicate the findings and recommendations of analysis in a clear and effective manner at all levels,
• Ability to engage with multiple stakeholders across the wider business.
• Ability to develop relationships with senior stakeholders across various product functions