Sr. Marketing Analyst

Description

Senior Marketing Analyst

Position Overview

We are seeking a highly analytical Senior Marketing Analyst to drive data-informed decision-making across the marketing organization. This role is responsible for connecting marketing investments to business outcomes through advanced analytics, attribution modeling, customer segmentation, and performance reporting.

The ideal candidate has strong experience with marketing analytics platforms, customer journey analysis, data visualization, and large-scale data management. This position will own the end-to-end analytics process, transforming complex data into actionable insights that improve marketing effectiveness, customer acquisition, conversion, and revenue growth.

Key Responsibilities

Marketing Analytics & Data Management

+ Aggregate, organize, and analyze data from multiple marketing and business sources.

+ Develop unified reporting views to evaluate customer and segment performance over time.

+ Perform advanced data extraction, normalization, and analysis on large datasets.

+ Ensure data integrity and accuracy across reporting environments.

Attribution & Performance Measurement

+ Build and enhance multi-touch attribution models to evaluate marketing channel effectiveness.

+ Measure the impact of marketing activities on key performance metrics including conversions, acquisition costs, revenue, return on ad spend, and customer lifetime value.

+ Analyze cross-channel marketing performance and provide optimization recommendations.

Marketing Investment Analysis

+ Connect marketing spend across campaigns, channels, and content initiatives to business outcomes.

+ Evaluate campaign effectiveness and recommend budget allocation strategies.

+ Support analysis of website and mobile application performance to improve conversion rates.

+ Partner with internal teams and external agencies to identify optimization opportunities.

Customer Segmentation & Insights

+ Analyze customer behavior, demographics, and engagement patterns.

+ Measure segment performance and identify opportunities for targeted marketing strategies.

+ Develop recommendations to improve customer acquisition, retention, and engagement.

+ Support personalization and audience development initiatives.

Predictive Analytics & Modeling

+ Conduct statistical analysis including correlation, regression, and predictive modeling.

+ Identify factors influencing conversion, retention, and customer engagement.

+ Support forecasting initiatives and data-driven marketing strategies.

+ Leverage advanced analytics techniques to improve business performance.

Reporting & Visualization

+ Create dashboards and reporting tools to communicate performance insights.

+ Present findings and recommendations to marketing leadership and stakeholders.

+ Translate complex data into clear and actionable business insights.

+ Develop ongoing reporting frameworks to support strategic decision-making.

Requirements

Required Qualifications

Education

+ Bachelor's degree in Statistics, Data Science, Economics, Marketing Analytics, Business Analytics, or a related field.

Experience

+ 3-5+ years of experience in marketing analytics, business analytics, e-commerce, or complex B2C environments.

+ Experience analyzing paid media, CRM, email marketing, web analytics, and customer journey performance.

+ Hands-on experience with customer journey analytics and marketing automation platforms.

+ Experience working with large-scale data environments and analytics tools.

+ Strong background in marketing measurement, attribution, and campaign analysis.

Technical Skills

+ Advanced data analysis and data manipulation skills.

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Experience with customer journey analytics platforms.

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Experience with marketing automation and customer engagement platforms.

+ Strong knowledge of attribution modeling and marketing measurement methodologies.

+ Experience creating dashboards, visualizations, and executive-level reporting.

+ Advanced Excel and data reporting capabilities.

Preferred Qualifications

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Experience with customer data platforms and enterprise analytics ecosystems.

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Experience with text analytics, sentiment analysis, and customer feedback analysis.

+ Background in predictive analytics, machine learning, or forecasting.

+ Experience supporting personalization and audience segmentation initiatives.

+ Understanding of digital marketing, paid media, CRM, and e-commerce analytics.

Knowledge, Skills & Abilities

+ Strong quantitative and analytical skills.

+ Ability to manage and interpret complex datasets.

+ Excellent problem-solving and critical-thinking abilities.

+ Strong presentation and communication skills.

+ Experience collaborating with cross-functional teams and external partners.

+ Ability to translate data into actionable business recommendations.

+ Strong attention to detail and commitment to data accuracy.

+ Proven ability to manage multiple priorities and deadlines in a fast-paced environment.

Tools & Technologies

+ Customer Journey Analytics Platforms

+ Marketing Automation Platforms

+ Data Warehousing &…