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Common BA/data title, broad SQL/Python/BI skillset and metro location drive high applicant density.
SQL, Power BI and Python analytics skills are broadly transferable across industries, so background sensitivity is low.
Mandatory technical stack (T-SQL, Python, Power BI, predictive analytics) and degree requirements imply medium strictness.
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Develop and maintain executive-level dashboards and reports to monitor marketing campaign performance and customer analytics.
Collaborate regularly with global marketing teams to understand data requirements and build strong stakeholder relationships.
Optimize SQL queries and utilize advanced analytics (Python, R, predictive modeling) for customer lifecycle and churn prediction analytics.
Bachelor's degree in Engineering (BE/B-Tech) or Master's degree, preferably related to marketing or data.
Expertise in T-SQL, stored procedures, RDBMS, data analytics, customer and campaign analytics, and advanced Excel.
Proficiency in advanced analytics tools including Python and predictive analytics techniques.
Familiarity with business data flows in marketing, sales, and supply chain; experience with Power BI, Salesforce, Marketo, and Excel.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in bridging technical (analytics, SQL, Python) and business teams to deliver actionable marketing insights.
Demonstrated ability to manage and optimize marketing analytics operations including campaign measurement and customer lifecycle management.
Strong relationship-building skills evidenced by collaborating with global marketing stakeholders and representing their viewpoints accurately.