The posting
Growth Data Analyst
Work arrangement: Work form office ( all 5 days of the week )
Get to Know Our Team:
Our Growth Analytics team helps customer-growth, product and marketing teams make better decisions. We turn customer, campaign and product data into reliable reporting and actionable insights across markets.
Get to Know the Role:
You will take analytical work from the initial business question through metric definition, data validation, analysis and reporting.
You will partner with campaign, marketing, product and data teams to explain what is working, where opportunities exist and what to improve.
The Critical Tasks You Will Perform:
● Partner with stakeholders to define analysis objectives, metrics and measurement plans.
● Analyze customer behaviour, including engagement, conversion, acquisition, reactivation and retention.
● Maintain reliable analytical datasets, metric definitions and reporting views.
● Develop dashboards and recurring scorecards that make trends, comparisons and data freshness clear.
● Validate data across source, pipeline and dashboard layers; investigate discrepancies and coordinate fixes.
● Translate findings into clear recommendations for campaign and marketing decisions.
● Use approved AI tools to support research, analysis, documentation and workflow improvement.
What Essential Skills You Will Need
● Knowledge/Experience in customer or product analytics.
● Ability to understand SQL/Python based pipelines - take over and maintain.
● Experience building or maintaining dashboards in Power BI or a comparable business intelligence tool.
● Ability to analyse funnels, cohorts, attribution, campaign lift and retention, and explain methodological limitations.
● Experience with data quality checks, metric consistency, reconciliation and root-cause investigation.
● Ability to turn stakeholder questions into measurable analysis and communicate findings as practical recommendations.
● Experience engaging with AI tools and emerging technologies to improve productivity, workflows and presenting analytical ideas.
Good to Have:
● Python or PySpark, and experience with Spark, Airflow or similar data-pipeline tools.
● Experience with Growth strategy planning, customer engagement or marketing technology platforms.
● Experience using AI tools to build adhoc dashboards for analysis and insights presentations



