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Intelliswift - An LTTS Company is seeking a Senior Marketing Analyst to lead audience strategy, customer insights, and revenue opportunity analysis for a growing enterprise marketing organization. The role blends deep analytics with strategic influence, working with Marketing, Sales, Analytics, Data Science, and Engineering teams.
The ideal candidate will translate complex data into actionable recommendations, define measurement frameworks, and develop dashboards to empower marketing decisions
Job Title: Senior Marketing Analyst - Audience Strategy & Customer Insights
Duration: 12 Months (Potential Extensions)
We are seeking an experienced Senior Marketing Analyst to drive audience strategy, customer insights, and revenue opportunity analysis for a growing enterprise marketing organization. This role combines deep analytical expertise with strategic business influence, helping shape marketing investments, audience prioritization, and customer growth initiatives.
The ideal candidate excels at translating complex datasets into actionable business recommendations and thrives in a highly cross-functional environment partnering with Marketing, Sales, Analytics, Data Science, and Engineering teams.
Conduct audience segmentation, lifecycle analysis, funnel analysis, churn analysis, and customer growth assessments.
Quantify revenue opportunities and develop business cases to support strategic marketing decisions.
Analyze and reconcile large-scale datasets using advanced SQL.
Define analytical methodologies, success metrics, and measurement frameworks to answer business questions.
Partner with Data Scientists and Data Engineers to improve data models, reporting structures, and analytical workflows.
Develop automated reporting solutions and self-service dashboards.
Translate customer and audience insights into actionable recommendations for marketing and business stakeholders.
Present findings and strategic recommendations to leadership and cross-functional teams.
Support customer and account-level analytics initiatives across CRM, engagement, and marketing datasets.
8+ years of experience in Marketing Analytics, Business Analytics, Data Science, Customer Analytics, or similar analytical roles.
Advanced SQL expertise including: Complex joins, Common Table Expressions (CTEs), Window Functions, Query optimization, Large-scale data analysis
Strong experience with: Audience segmentation, Customer analytics, Lifecycle and funnel analysis, Revenue opportunity sizing and Business case development
Experience working with CRM and customer data platforms.
Proven ability to communicate analytical findings to both technical and non-technical stakeholders.
Bachelor's degree in a quantitative, business, economics, mathematics, statistics, engineering, or related field.
Experience with data pipeline and workflow orchestration tools (dbt, Airflow, or similar).
Customer Data Platform (CDP) experience.
Marketing automation and CRM analytics experience.
Dashboarding and BI platform expertise (Tableau, Looker, Power BI, or similar).
Knowledge of statistical modeling, attribution analysis, forecasting, experimentation, or customer lifetime value modeling.
Proficiency in Excel/Google Sheets.
Basic Python experience for analytics automation.