Bain & Company is hiring for an entry level Data Analyst role in India

Position:

• Data Analyst - Sustainability (S&R)

Company:

• Bain & Company

Location:

• New Delhi, India

Job type:

• Permanent Full-Time

Job mode:

• Hybrid / On-Site

Job requisition id:

• 108758

Years of experience:

• Not specified in the Original JD but appears to be an entry level role

Company description

• Bain & Company operates as a premier, top-tier global management consultancy firm that is deeply committed to assisting the most ambitious and forward-thinking change-makers in defining and building the future of global commerce and industry.

• Spanning a massive international footprint, the organization boasts a formidable presence across 65 major cities located within 40 distinct countries, allowing the firm to leverage a truly global perspective while delivering hyper-localized, culturally relevant insights to a highly diverse portfolio of international clients.

• The foundational philosophy of the firm revolves around working shoulder-to-shoulder with clients as a single, unified team, sharing a mutual ambition to achieve unparalleled, extraordinary business results, aggressively outperform industry competition, and fundamentally redefine the operational standards of entire business sectors.

• To ensure the delivery of superior, accelerated, and highly sustainable outcomes, the company seamlessly integrates its deeply customized, bespoke consulting expertise with a vibrant, dynamic ecosystem of external digital innovators, technologists, and visionary leaders.

• Since its historical inception in the year 1973, the organization has staunchly maintained a deeply ingrained ethos of measuring its own institutional success exclusively through the financial and operational success achieved by its clients, an approach that has proudly resulted in the highest levels of client advocacy, loyalty, and retention in the entire management consulting industry.

• The firm is universally and consistently recognized by leading industry authorities as one of the ultimate best places to work worldwide, serving as a global champion of workplace diversity and acting as a benchmark model for corporate social responsibility and ethical governance.

• Currently, the organization holds the highly coveted position of the number one consulting firm on Glassdoor’s prestigious Best Places to Work list, an incredible milestone further amplified by the fact that it has consistently maintained a top-four ranking on this highly competitive list for an unprecedented span of thirteen consecutive years.

• The leadership inherently believes that cultivating a culture of deep diversity, radical inclusion, and seamless collaboration is the absolute key to constructing extraordinary, high-performing teams capable of solving the world's most complex macroeconomic challenges.

• Specifically focusing on regional operational excellence, the Bain Capability Network (BCN) office was strategically established in Gurgaon in the year 2004 to serve as a high-powered engine of internal support, providing best-in-class, highly efficient, and exceptionally professional analytical and strategic assistance to leadership and consulting teams deployed across regional and global Bain offices.

• The BCN has organically grown into a critical pillar of the firm's global delivery model, housing world-class talent that drives transformative internal and external initiatives, ensuring that consulting staff on the ground have continuous access to rigorous data, robust research, and advanced analytical capabilities.

• The firm is dedicated to hiring exceptional individuals possessing outstanding talents, distinct intellectual abilities, and boundless potential, subsequently immersing them in a nurturing, high-performance environment intentionally designed to help them evolve into the best possible versions of themselves, both in their professional careers and personal lives.

• The organization's overarching mission goes beyond mere financial advisory; it is deeply invested in leaving a lasting, positive footprint on the world, ensuring that its corporate strategies align with broader societal goals, environmental preservation, and the betterment of global communities at large.

Profile overview:

• The Data Analyst position is strategically embedded within Bain’s highly specialized Sustainability Center of Excellence (CoE), a critical division that plays a highly pivotal and transformative role in significantly advancing the firm’s comprehensive sustainability and complex carbon management initiatives on a global scale.

• The day-to-step operational requirements of this role heavily involve taking direct ownership of managing smaller, highly focused sustainability cases, while simultaneously providing robust, data-driven support on significantly more complex, multi-faceted cases under the direct guidance and mentorship of seasoned Project Leaders.

• A core objective of the analyst in this position is the continuous delivery of highly actionable, mathematically sound insights that are directly aligned with, and actively drive, Bain’s overarching global sustainability mandates and environmental goals.

• As a vital, highly integrated member of the specialized S&R Flex Team, the professional in this role will operate on a truly global scale, navigating across a wide array of diverse, rapidly evolving industries, while seamlessly adapting to the specific regulatory and operational nuances of each unique sector.

• In scenarios requiring team coordination, the role may intersect with Associate responsibilities, contributing to the broader management and mentorship of 1 to 3 junior analysts, thereby requiring strong leadership acumen and the ability to delegate tasks effectively while maintaining high standards of quality control.

• The analyst will actively contribute to the continuous evolution and refinement of Bain’s proprietary service offerings specifically related to the Sustainability and Responsibility (S&R) practice, ensuring the firm remains at the absolute cutting edge of ESG consulting.

• This position places a highly pronounced emphasis on working intimately with complex, globally recognized environmental frameworks, most notably the Greenhouse Gas (GHG) Protocol, requiring a deep, nuanced understanding of how to apply these frameworks to real-world corporate data sets.

• A massive component of the daily workload will center around the rigorous, granular analysis of Scope 1, Scope 2, and highly complex Scope 3 carbon emissions, requiring the analyst to sift through massive volumes of supply chain data to accurately calculate carbon footprints.

• The individual is expected to remain constantly vigilant and hyper-aware of the rapidly shifting landscape of global carbon regulations, ensuring that all data analysis and subsequent recommendations are strictly compliant with the latest international environmental laws and treaties.

• Beyond pure data analysis, the role demands the proactive application of advanced technical expertise, specifically tasking the analyst with identifying bottlenecks and independently implementing highly efficient, small-scale automation solutions utilizing advanced coding languages and cutting-edge Artificial Intelligence tools.

• The analyst must demonstrate a rapid learning curve, showcasing the ability to ramp up almost instantly on newly assigned, highly specialized sustainability topics, and subsequently applying this newly acquired knowledge with extreme efficacy in live casework scenarios.

• Establishing a rock-solid, foundational understanding of critical, industry-standard ESG concepts is absolutely mandatory, including but not limited to carbon offset markets, the Corporate Sustainability Reporting Directive (CSRD), and the Carbon Disclosure Project (CDP) reporting mechanisms.

• The role necessitates the continuous, proactive monitoring of constantly evolving ESG regulations and global sustainability standards to ensure the internal team and the external clients remain at the forefront of compliance best practices, mitigating regulatory risks before they materialize.

• A massive portion of the role revolves around advanced data analysis and insight generation, requiring the innate intellectual ability to take highly complex, multi-layered business problems and systematically break them down into clear, highly logical, and easily digestible analytical structures.

• The analyst will be heavily relied upon to meticulously synthesize deep insights from sprawling, disparate data trends, taking raw, unstructured numerical data and gracefully translating it into highly polished, strategically sound, and highly actionable executive recommendations.

• Utilizing a wide array of highly relevant, industry-leading analytical tools, the professional is expected to consistently deliver perfectly accurate, zero-defect outputs under tight, demanding deadlines, maintaining an unwavering commitment to data integrity and mathematical precision.

• Exceptional communication and stakeholder engagement represent critical pillars of this profile, demanding the ability to articulate highly complex statistical findings and their broader business implications with crystal clarity to both internal teams and external stakeholders, including highly senior Bain leadership and C-suite client executives.

• The analyst will seamlessly collaborate with Associates, Project Leaders, and cross-functional teams to proactively identify, address, and permanently resolve complex issues spanning across various, simultaneously running workstreams, ensuring no bottlenecks delay project delivery.

• Technical proficiency is not just encouraged but strictly mandated, with the absolute requirement to flawlessly utilize advanced analytics tools to clean, transform, heavily analyze data, and subsequently build highly impactful, visually stunning, and intuitively understandable data visualizations.

• Furthermore, the candidate is expected to act as an internal pioneer, constantly identifying and proactively implementing novel, AI-driven analytical approaches and methodologies specifically designed to exponentially improve the overall efficiency, speed, and accuracy of the entire analytical team.

Qualifications:

• Candidates must possess a strong, rigorous academic foundation, holding a comprehensive Bachelor’s degree from a highly reputable academic institution, ensuring they have the fundamental intellectual toolkit required to thrive in a top-tier management consulting environment.

• The ideal candidate profile outlines an experience bracket of exactly 0 to 2 years of professional corporate experience, making this a premier opportunity for highly ambitious recent graduates or early-career professionals looking to accelerate their trajectory in the sustainability data space.

• It is highly preferred, though not strictly mandatory, that the candidate has previously garnered demonstrable exposure to Environmental, Social, and Governance (ESG) principles, frameworks, or data sets, either through relevant internships, academic research, or initial professional roles.

• Complete, unquestionable mastery of Advanced Microsoft Excel is an absolute necessity; candidates must be entirely fluent in complex formulas, multi-layered PivotTables, advanced data manipulation techniques, and ideally possess a strong working knowledge of VBA/Macros to automate repetitive analytical tasks.

• Exceptional, highly polished Microsoft PowerPoint skills are equally critical, as the analyst will be frequently tasked with translating complex data outputs into highly persuasive, visually impeccable, and executive-ready presentation decks that seamlessly tell a compelling business story.

• A deep, highly functional familiarity with advanced data visualization and business intelligence platforms, specifically Tableau, is a core requirement, enabling the analyst to build dynamic, interactive dashboards that allow clients to drill down into their sustainability metrics in real-time.

• Proficiency in data transformation and ETL (Extract, Transform, Load) platforms, particularly Alteryx (or Tableau Prep), is heavily utilized within this role, requiring the ability to seamlessly merge, clean, and structure massive, disparate datasets pulled from dozens of different global supply chain systems.

• A formal academic or highly technical background rooted deeply in Data Analytics, Data Science, Computer Science, or highly quantitative Engineering disciplines is strongly preferred, providing the mathematical and programmatic foundation necessary to handle advanced carbon modeling.

• The candidate must inherently possess extraordinarily strong, highly developed analytical and problem-solving skills, showcasing a proven, demonstrable track record of approaching highly ambiguous business challenges with a structured, deeply logical, and highly mathematical mindset.

• The working environment is incredibly fast-paced and dynamic; therefore, the candidate must possess the supreme organizational ability to smoothly handle multiple, highly complex, and simultaneously running analytical tasks without compromising on output quality or missing critical deadlines.

• A core qualification is the distinct ability to take massive volumes of exhaustive research and data, ruthlessly synthesize and summarize it into its most critical components, and independently generate clear, highly actionable, and strategically sound business recommendations.

• Exceptional team collaboration is non-negotiable; the candidate must demonstrate a proven ability to integrate seamlessly into diverse, cross-functional project teams, fostering a deeply cooperative, supportive, and highly synergistic working environment under high-pressure scenarios.

• Flawless, highly articulate communication skills—both in written documentation and verbal presentation—are absolutely required, ensuring the candidate can effectively interface with internal stakeholders, confidently defend their analytical methodologies, and clearly present findings to non-technical leadership.

• The individual must exhibit a high degree of intellectual curiosity, demonstrating a relentless, self-driven desire to continuously learn, independently explore new analytical methodologies, and stay vastly ahead of the curve regarding the latest technological advancements in AI and data science.

• A profound, detail-oriented nature is required; the candidate must operate with a "zero-defect" mentality, ensuring that every single cell in a spreadsheet, every node in an Alteryx workflow, and every chart in a PowerPoint deck is triple-checked for absolute accuracy before submission.

• Flexibility and adaptability are highly critical traits, as the nature of management consulting requires rapid pivots in project scope, sudden shifts in analytical requirements, and the ability to maintain composure and extreme productivity even when faced with significant ambiguity.

• Candidates should possess a strong foundational understanding of database architecture, knowing how data is stored, structured, and queried, which significantly aids in pulling the necessary sustainability metrics from complex enterprise resource planning (ERP) systems.

• An inherent passion for environmental sustainability and corporate responsibility is highly advantageous, as true intrinsic motivation will drive the analyst to dig deeper into the data to find innovative solutions for carbon footprint reduction and sustainable supply chain optimization.

• The ability to confidently manage upward is a required professional trait, meaning the analyst must proactively communicate project statuses, effectively flag potential analytical roadblocks early, and seek clarification from Project Leaders without hesitation to ensure continuous workflow momentum.

• Ultimately, the qualifications point toward a highly driven, mathematically gifted, and deeply communicative professional who is ready to leverage their technical prowess to make a massive, measurable impact on the global sustainability landscape within the framework of a top-tier consultancy.

Please click here to apply.