Senior Analyst, Practice Operations
Bain & Company · New Delhi, India · 5d ago
COMPANY PROFILE
Bain & Company is one of the top management consulting firms in the world that helps the world’s most ambitious changemakers define the future.
Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperforming the competition, and redefining industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes.
The firm established several functions in the Indian market early 2000s and its remit across functions has expanded over time. Since 2019, these functions have become part of Global Business Services (GBS). Global Business Services (GBS) is a network of five interconnected business functions hubs across India, Poland, Malaysia, Mexico and Portugal, serving Bain globally to run our business, support other functions, and help drive innovation internally. We are over 1000 business professionals – serving functions in operations, HR, finance, legal, tech, marketing, research, and data analytics – who support our offices globally. Our mantra of “shared innovation, seamless execution,” underpinned by a passion for results, teamwork, and creativity, helps Bain stay at the top of our game operationally.
WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times.
Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
Job Summary
Bain’s Airlines, Logistics and Transport (ALT) sector is part of the Advanced Manufacturing & Services (AMS) Practice. The Operations Senior Analyst role sits at the intersection of client relationship management, knowledge management, and AI enablement. You will help sector leadership and account teams improve client engagement, strengthen commercial execution, and scale best practices and IP — and you will build and maintain a growing library of AI-powered tools, skills, and automations that case teams can pull off the shelf. Working closely with partners, knowledge management, and product teams globally, your mandate is to take routine analytical and administrative work off case teams’ plates so they can focus on higher-value activities.
Key Responsibilities
Client and Account Support
- Support the smooth operation of Bain’s CRM tool (“Cortex” on a Salesforce platform) for approximately 30 key accounts, ensuring data integrity and consistent usage.
- Monitor client engagement patterns and surface signals that indicate opportunities for timely partner outreach.
- Build and maintain recurring dashboards and reports (e.g., account status, activity, pipeline signals) to help client heads proactively manage relationships and identify growth opportunities.
- Design and maintain a centralized repository (on Bain approved platforms) for pitch materials, proposals, case examples, and templates; ensure content is searchable, appropriately tagged, and version-controlled for reuse.
- Partner with Knowledge Management to develop microsites using established frameworks, improving speed and consistency of content access for teams.
- Partner with other sector/practice PPK teams to cross-pollinate IP.
- Contribute to sector IP development by participating in the creation of new IP as opportunities arise.
- Support IP deployment and commercialization by assisting the Regional Sector Leaders with go-to-market planning (timing, channels, and enablement materials).
- Maintain and update sector affiliate and expert lists (in coordination with relevant internal teams) to improve access to expertise when needed.
AI Enablement
- Build and maintain a practice-level repository of reusable AI assets — including Claude skills (SKILL.md files), artifacts, prompts, and agent configurations — that case teams can pull off the shelf to accelerate recurring analytical and content tasks. Own the taxonomy, documentation, access, and version control of these assets, and drive adoption through onboarding materials and light coaching of case teams.
- Develop purpose-built AI tools that turn sector data sources into fast, case-ready outputs — for example, skills that analyze Cirium Diio schedule data or IATA MarketIS booking data to produce quick market sizing, competitive dynamics, route economics, or network-change analyses on demand for case teams.
- Set up and maintain recurring AI-driven insight generation pipelines that combine licensed data subscriptions (e.g., Cirium Diio, IATA MarketIS) with public and scraped sources to produce regular sector pulses, trend updates, and proprietary points of view the practice can push to partners and clients.
- Identify routine, repetitive tasks across the practice — administrative, reporting, research, or data-prep — and design AI automations, freeing up time for client-facing and judgment-heavy work. Deploy automations responsibly with appropriate confidentiality, data handling, and access controls.
- Catalogue and maintain the sector’s library of hosted proof-of-concept apps built for proposals and pitches — capturing what each app does, the client and proposal context it was built for, where it is hosted, its current status, and the internal owner — so the practice can quickly surface, demo, or repurpose prior POCs in new pitch situations. Coordinate with partners and product teams to retire stale apps and promote proven ones into reusable assets.
Qualifications
Required
- 2-5 years of professional experience, ideally in professional services, consulting, technology, or data-driven roles.
- Quantitative undergraduate degree (or equivalent analytical training).
- Hands-on familiarity with Claude and/or other leading GenAI tools (e.g., ChatGPT, Gemini, Copilot). Comfortable designing effective prompts, applying LLMs to real work tasks such as document synthesis, content drafting, and data extraction, and critically evaluating outputs to improve quality. Genuine interest in going beyond day-to-day usage to author and share reusable AI assets — prompts, custom GPTs, Claude skills, and artifacts — that other people can pick up and run with.
- Light analytics and data skills, including advanced Excel (pivot tables, lookups, dynamic arrays, chart-building) and basic SQL or Python for querying, cleaning, and transforming data. Comfortable structuring datasets, performing exploratory analysis, and producing clear, insight-driven outputs for non-technical audiences.
- Ability to drive work end-to-end with limited direction; strong organization and attention to detail.
- Effective stakeholder management skills, including the ability to steer small working meetings and contribute thoughtfully with senior stakeholders.
Preferred
- Hands-on experience with Salesforce reporting and dashboarding, including building custom reports, configuring dashboards for different user personas, and working with report types and filters. Strong CRM and data-quality habits — including ownership of data hygiene routines, deduplication, consistent taxonomy and tagging, and proactive identification of gaps or inconsistencies that could affect downstream reporting.
- Experience with knowledge management tools such as SharePoint, Google Drive, or Confluence, including setting up structured content libraries, applying metadata and tagging schemas to aid discoverability, and managing access and permissions across user groups. Familiarity with basic content governance and versioning practices — including lifecycle management (draft, approved, archived), naming conventions, and periodic content review cycles to ensure materials remain current and reusable.
- Automation experience using tools such as Power Automate, Zapier, or n8n, Salesforce flows and process builders, or light scripting (e.g., Python, JavaScript, Apps Script) to connect systems and streamline repetitive tasks. A track record of shipping reusable AI assets that others have adopted is a strong plus, as is experience identifying high-friction processes and replacing them with automated solutions that demonstrably freed up time.