Data jobs in United States

Position SummaryThe Senior Analyst, Data & Marketing Analytics, will be a key contributor in building the foundation of Bains 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.,

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