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Generalist analytics title, mid-level scope, and metro hiring signals increase applicant competition.
Skills are transferable across industries but marketing/customer analytics tools create moderate domain specificity.
Multiple mandatory technical skills (T-SQL, Python, Power BI, predictive analytics) create strict screening filters.
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Own the creation and maintenance of executive-level dashboards to track marketing campaign performance metrics.
Collaborate regularly with global marketing teams to gather data requirements and build strong stakeholder relationships.
Develop, optimize, and automate SQL queries and reports using Power BI, Excel, and advanced analytics tools (Python, predictive modeling) for customer and campaign 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, advanced Excel, data analytics including customer and campaign analytics.
Proficiency with analytics and visualization tools such as Power BI, Salesforce, Marketo, and Python for predictive analytics.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working at the intersection of business and technical teams to implement analytics-based solutions.
Skilled in handling large-scale marketing data and customer lifecycle analytics to drive business value.
Capable of managing multiple stakeholders globally with focus on quality, timeliness, and measurable impact in marketing analytics.