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Metro location and common Python/SQL marketing analytics skills increase candidate competition.
Marketing analytics focus reduces cross-industry transferability despite transferable data skills.
Multiple mandatory technical skills (Python, advanced SQL, BI, cloud, marketing platforms) create moderate shortlisting filters.
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Perform data analysis using Python and SQL to support digital marketing campaigns and campaign operations.
Build, validate, and optimize marketing audiences and conduct complex campaign performance analyses to inform marketing strategy.
Develop reusable queries and scripts for reporting and automation, and create dashboards to monitor campaign KPIs and customer engagement.
Strong hands-on experience with Python (including Pandas, NumPy) and advanced SQL (complex queries, joins, CTEs, window functions).
Experience analyzing large marketing or customer datasets and supporting campaign operations and marketing analytics.
Experience with marketing campaign audience building and segmentation, and knowledge of digital marketing metrics.
Experience with visualization tools (Power BI or Tableau); familiarity with CRM/marketing automation platforms (e.g., Adobe Campaign, Salesforce Marketing Cloud) and cloud data platforms (Snowflake, Databricks, Azure, AWS).
Experienced in marketing analytics with a focus on campaign operations and audience segmentation in big data environments.
Comfortable translating marketing objectives into analytical solutions and presenting data-driven insights to business stakeholders.
Capable of automating and optimizing campaign reporting through reusable SQL and Python scripts to support data quality and strategic decision-making.