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Strong employer brand, common Data Analyst title, mid-level role, and metro location increase applicant competition.
Data tooling skills are transferable across industries but require moderate domain knowledge, so medium sensitivity.
Mandatory Databricks, SQL, Python and Power BI skills increase technical filtering for candidates.
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Maintain and support ETL processes and validate data feeds for AUNZ reporting.
Develop and manage Power BI data models including DAX and Power Query to support BI reporting.
Collaborate with BI management to refine data requirements, document data models, and monitor data quality.
Experience with Databricks platform including DLT, SQL, and Python.
Proficiency in Power BI data modelling, DAX, and Power Query.
Experience handling various file formats like txt and csv.
Work Experience Required: Not explicitly mentioned in the JD.
Operationally focused on maintaining data pipelines and supporting BI development in a hybrid work environment.
Skilled in quantitative analysis and problem-solving with attention to detail in data validation and cleaning.
Experienced in working closely with management to ensure data integrity and accurate reporting solutions.