Senior Analyst, Marketing Analytics

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.