Back
Metro location, common data analyst skillset, and known DAZN brand increase candidate competition.
Core analytics skills transfer easily across industries, yielding low background sensitivity.
Mandatory SQL and Power BI skills but no explicit years requirement makes screening moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze large datasets to identify patterns and insights relevant for business and funnel analysis.
Develop and maintain SQL queries and data pipelines to support reporting and data accuracy.
Build and maintain dashboards and reports in Google Analytics and Power BI, ensuring data quality and delivering actionable recommendations.
Proficient in SQL including querying, joins, aggregations, and data transformations.
Experience with Power BI Desktop and understanding of DAX for building dashboards and measures.
Basic knowledge of Python for data analysis and automation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in data engineering tasks like building and maintaining data pipelines and validation.
Capable of translating complex data into clear business insights for cross-functional teams.
Familiarity with cloud data warehouses (e.g., Snowflake) and ETL/orchestration tools (e.g., DBT, Airflow) is advantageous but not mandatory.