Senior Analyst, Marketing Analytics

Job Description

Position Summary The Senior Analyst, Data & Marketing Analytics, will be a key contributor in building the foundation of Bain’s marketing analytics ecosystem. This role offers a meaningful opportunity for an experienced analyst to take on broader responsibilities and contribute to strategic outcomes. Responsible for playing a hands-on role in designing data infrastructure, delivering insights, and enabling scalable reporting — all while working closely with marketing, digital, and technology stakeholders. From building data pipelines and dashboards to running agile projects and leading high-stakes discussions, this is an opportunity to shape how analytics powers strategic marketing at Bain. One will thrive in an agile, fast-paced environment and collaborate closely with stakeholders across the marketing and analytics ecosystem. Responsibilities: Data Analytics & Insight Generation (30%) Analyze marketing, digital, and campaign data to uncover patterns and deliver actionable insights. Support performance measurement, experimentation, and strategic decision-making across the marketing funnel. Translate business questions into structured analyses and data-driven narratives. Data Infrastructure & Engineering (30%) Design and maintain scalable data pipelines and workflows using SQL , Python , and Databricks . Build and evolve a marketing data lake , integrating APIs and data from multiple platforms and tools. Work across cloud environments (Azure, AWS) to support analytics-ready data at scale. Project & Delivery Ownership (25%) Serve as project lead or scrum owner across analytics initiatives — planning sprints, managing delivery, and driving alignment. Use tools like JIRA to manage work in an agile environment and ensure timely execution. Collaborate with cross-functional teams to align priorities and execute on roadmap initiatives. Visualization & Platform Enablement (15%) Build high-impact dashboards and data products using Tableau , with a focus on usability, scalability, and performance. Enable stakeholder self-service through clean data architecture and visualization best practices. Experiment with emerging tools and capabilities, including GenAI for assisted analytics. Experience 5+ years of experience in data analytics, digital analytics, or data engineering, ideally in a marketing or commercial context. Hands-on experience with SQL , Python , and tools such as Databricks , Azure , or AWS . Proven track record of building and managing data lakes , ETL pipelines , and API integrations . Strong proficiency in Tableau ; experience with Tableau Prep is a plus. Familiarity with Google Analytics (GA4) , GTM , and social media analytics platforms. Experience working in agile teams , with comfort using JIRA for sprint planning and delivery. Exposure to predictive analytics , modeling, and GenAI applications is a plus. Strong communication and storytelling skills — able to lead high-stakes meetings and deliver clear insights to senior stakeholders. Excellent organizational and project management skills; confident in managing competing priorities. High attention to detail, ownership mindset, and a collaborative, delivery-focused approach. Show more Show less