Collaborate with stakeholders and translate their business needs into data requirements behind dashboards deep-dive analyses & experiment set-ups;
Develop and evolve tracking concepts to ensure we collect accurate and reliable data;
Build and transform raw event stream data from various sources into our data warehouse and therefore enable driving actionable insights & enriching user profiles;
Analyze post-order user journeys in close collaboration with Operations to optimize delivery experience touchpoints as well as improve satisfaction and retention;
Design conduct and evaluate A/B tests and drive experimentation-led Product development;
Communicate findings clearly through impactful visualizations and concise storytelling tailored to stakeholders;
Adopt a product-centric approachprioritizing measurable business impact and informed decision-making over simply completing tasks or producing reports.
Qualifications :
Good to have:
Understanding of product life cycle and how it translates into end-to-end pipelines for Analytics:
familiarity with product tracking facilitated by the usage of tools similar but not limited to Avo/Segment/Google Analytics/Adjust/AppsFlyer etc;
knowledge of analytics engineering principles for efficient economical & scalable data modelling (BigQuery/Redshift/Databricks/Snowflake dbt);
experience with visualisations in Tableau/PowerBI/Mixpanel/Looker.
Additional Information :
It is our commitment that every applicant will be evaluated according to their skills regardless of age gender identity ethnicity sexual orientation disability status or religion.
Remote Work :
No
Employment Type :
Full-time
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