Associate, Reporting and Analytics

About the Role

The Reporting & Analytics Associate is a techno-functional role responsible for providing business intelligence services, including insights and analytics on key metrics, to internal Bain global functions.

Key Responsibilities

• Support recurring and ad-hoc analytics on key metrics for Bain's leadership.
• Build new workflows using Alteryx, Python, SQL, Tableau Prep (or other EDA tools).
• Build new dashboards using Tableau, Power BI, Advanced Excel (or other visualization tools).
• Refresh and maintain dashboards on Tableau / Power BI.
• Optimize Alteryx / Tableau Prep workflows.
• Develop expertise on key Bain data sources to deliver effective output.
• Use basic Generative AI to brainstorm and optimize operational tasks.
• Apply and build technical expertise in Data Visualization and Data Analysis (EDA) tools such as Alteryx, Python, SQL, Tableau, Power BI.
• Assist in the creation of basic reporting solutions using tools like Alteryx and Tableau.
• Assist in automating simple, repetitive tasks in reporting processes using Python and SQL.
• Take responsibility for completing small, well-defined tasks within projects under instruction.
• Assist in collecting and preparing data for analysis and reporting.
• Learn and apply basic best practices in automation and reporting.
• Participate in team brainstorming sessions and offer ideas for simple improvements or innovations.
• Work closely with Senior Associates and Senior Specialists, applying feedback and learning from more experienced team members.
• Build a basic understanding of Bain business processes.
• Actively participate in team activities, training sessions, and meetings.

Requirements & Tech Stack

• Alteryx
• Python
• SQL
• Tableau
• Power BI
• Tableau Prep
• Advanced Excel
• Generative AI
• Pandas
• NumPy

Qualifications

• Strong problem-solving skills, with a willingness to learn and apply solutions.
• Ability to contribute to simple tasks within reporting solutions and data analytics projects under guidance.
• Developing communication skills, with a focus on teamwork and understanding technical instructions.
• Curiosity and a willingness to learn new skills in data analytics, automation, and AI.
• Understanding of basic data structures and algorithms, with the ability to apply these concepts in simple tasks under supervision.
• Ability to follow instructions and collaborate effectively with team members.
• Exposure to working in an agile environment.

Preferred Qualifications

• Basic understanding of SQL, with some experience in data management, query optimization, and supporting schema design.
• Knowledge of Python, with an emphasis on automating basic tasks.
• Familiarity with basic features of data visualization tools (e.g., Tableau, Power BI) and analytics frameworks (e.g., Pandas, NumPy).
• Experience in assisting with simple AI model tasks (e.g., text classification) with direct supervision.

Education

• First class undergraduate/postgraduate from leading and reputed colleges.
• Concentration in a quantitative discipline such as Statistics, Mathematics, Engineering, Computer Science, Econometrics, Business Administration, Finance, Business Analytics, or Market Research is strongly preferred.

Experience

• 2-5 years (graduates) or 0-3 years (post-graduates) of relevant experience in data analytics, business intelligence, and reporting solutions.
• Basic experience working in a data-focused environment, supporting routine reporting tasks.
• 0-2+ years of relevant experience.