What you ll do
Key responsibilities include (but not limited to):
- Lead consulting projects (critical)
- Drive end-to-end delivery of projects for clients, ensuring clear objectives, timelines, and deliverables are met (along with inputs from Manager/ Senior Manager)
- Day-to-day work planning and team management. Take responsibility for scoping and delegating work streams; monitor and balance workloads within the team of analysts and associates
- Serve as the main point of contact for clients/ Bain case teams, providing strategic insights and ensuring client satisfaction.
- Insight Generation and Presentation
- Drive conversations through analytics to help uncover insights through data analysis and story-lining the deliverable to prove/disprove hypotheses in the best interest of the client/project
- Use dashboards and visualization tools (e.g., Power BI, Tableau) to track KPIs and report on the effectiveness of marketing strategies.
- Leverage latest techniques (such as GenAI, predictive modelling, etc) to enhance data analysis as well as embed them in day-to-day activities
- Marketing analytics and research
- Conduct primary and secondary research to identify opportunities/ gaps and benchmark current marketing maturity of clients as per Bain proprietary frameworks and databases
- Develop tailored analysis using marketing tools (e.g., Google Analytics) and analytical data sources (such as SEMRush, Similarweb, etc.) to form a comprehensive outside-in view of client marketing/ sales functions
- Identify value at stake and size of prize through media spend analysis across channels and competitors
- Develop strategies to build new and strengthen existing digital channels, implementing new or enhanced omni-channel strategies, personalization techniques and connected experiences
- Understand basic design principles and apply them for strength and gap identification in UI/UX of client websites and mobile app interface
- Stay abreast of emerging marketing analytics tools and trends to ensure that the team offers cutting-edge solutions to clients and stakeholders
- Cross-Functional Collaboration:
- Work closely with senior leaders and internal teams (including data scientists, digital marketers, and product development), to ensure integration of data-driven insights across marketing initiatives across a range of industries (esp. Retail, Consumer Products, Financial Services)
- Brainstorm with the BCN Manager/Sr. Manager and Bain consulting/ specialist team on various aspects of a client project or new IP development
- Consistently provide responsible feedback, coaching and mentoring to analysts and associates working with them to address their professional development needs. Also conduct performance discussions, writing reviews for appraisal (as required)
- Contribute to the internal development of our practice through participation in areas such as business development, training, thought leadership and toolkit development, and recruiting
About you
- Graduate (6-8 years) / Post-Graduate (3-5 years) (preferably MBA with strong academic background)
- At least 3-4 years of relevant work experience across high paced and detail oriented work setups (e.g., top tier consulting, analytics etc.) with good to have exposure to marketing analytics
- 1-2 years of demonstrated success leading small teams
- Strong hands-on experience in Microsoft Excel and PowerPoint, with high focus on attention to detail and delivering accurate, robust analysis
- Excellent communication skills with a demonstrated ability to present complex information to senior executives and clients in a clear, concise manner
- Strong understanding of the broader business context, including marketing trends, customer behaviors, and financial impact.
Technical skills (good to have):
- Hands on experience with digital marketing tools (e.g., SEMrush, Similarweb, Sensor tower, etc.). and concepts (media spend, SEO/ SEM, traffic/ channel analysis)
- Familiarity with marketing analytics platforms (e.g., Google Analytics, Page Speed Insights) and working directly with 1P customer data
- Experience with any of the following topics is a plus - survey-based tools and analytics, diagnostics, data analytics and benchmarking
- Working proficiency in data visualization tools (Tableau, Power BI) is a plus
