Senior Marketing Analytics Consultant

Responsibilities

• Analyze marketing and customer data to quantify the impact of marketing initiatives on revenue and business outcomes.
• Work closely with stakeholders to understand business requirements and provide strategic insights to solve critical business problems.
• Develop and maintain dashboards, visualizations, and performance reports using Tableau.
• Write, optimize, and validate SQL queries to extract, transform, and analyze large datasets.
• Deliver insights that help optimize marketing strategies across channels, including spend allocation, targeting, and campaign effectiveness.
• Conduct customer segmentation, behavioral analysis, and lifecycle performance assessments.
• Partner with marketing, product, and analytics stakeholders to understand business needs and translate them into analytical solutions.
• Provide clear, actionable recommendations to improve marketing ROI and drive strategic decision-making.
• Ensure data accuracy and consistency through regular validation and quality checks.
• Stay current with industry trends in marketing analytics, attribution, and measurement methodologies.

Requirements

• Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Marketing Analytics, Business Analytics).
• 4-5 years of experience in marketing analytics, data analytics, or related fields.
• Strong proficiency in SQL for data extraction and manipulation.
• Hands‑on experience with Tableau for visualization and reporting.
• Solid understanding of marketing measurement concepts, attribution, and performance analytics. Preferably in B2B marketing space.
• Excellent communication skills with the ability to translate data into compelling narratives.
• Demonstrated experience collaborating with stakeholders and influencing decisions.
• Strong analytical thinking, problem-solving abilities, and attention to detail.
• Ability to work independently, take initiative, and manage multiple priorities.

Preferred

• Experience working with fintech, financial services, or digital first consumer businesses.
• Familiarity with marketing attribution models, MMM, or experimentation frameworks.
• Experience leading a team
• Exposure to additional BI or data visualization tools.
• Experience with GA4 and BigQuery.
• Understanding of predictive modeling or statistical analysis techniques.