Associate – Data Ops & Estimations (Data Business CoE)

Bain & Company; New Delhi; On-site; INR 1,500,000 - 2,200,000; Full time

Benefits offered by this job

Diversity and inclusion initiatives

Recognition as a top workplace

Professional development opportunities

Job summary

Bain & Company is looking for a Data Science specialist to join its BCN Data business in New Delhi. You will work closely with Data Operations to ensure high-quality data deliveries, implement data science methods, and assist in improving analytics capabilities.

The role requires proficiency in SQL and Python, with over 3 years of experience in data mining and statistical modeling. A Bachelor's degree in a technical field is essential. Joining Bain means being part of a team recognized for its excellence and commitment to diversity.

Qualifications

• 3+ years of experience in data mining and analysis, preferably in e-commerce.
• Expertise with large datasets and proficiency in SQL and Excel.
• Proficiency with data wrangling in Python.

Responsibilities

• Work with Data Operations to ensure quality data for clients.
• Lead monthly data refresh validations and assist with data forecasts.
• Research and validate data trends through secondary information.

Skills

Data mining

Statistical modeling

Data analysis

SQL

Excel

Python

Project management

Communication skills

Education

Bachelor's in mathematics, engineering, science, statistics or technical degree

Tools

Git

Jira

Confluence

Miro

Job description

About us

Bain & Company is a global management consulting that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.

In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.

Who you will work with

Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients’ needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: www.pyxisbybain.com

What you’ll do

• This is an opportunity to be a part of BCN Data business Data science capability area. This position will be part of the Pyxis, an engine 2 company at Bain.
• Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams.
• This will include helping and assisting our clients on large datasets; focused on data projections, estimations, and validation.
• The person in this role will need to:

• Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis
• Lead monthly data refresh validations, leveraging automation tools and working closely with the Data Operations team to refine process over time
• Assist with research of secondary information to validate data trends

• Assist in implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate
  • Help team in improving quality of core data assets as well as enhance analytic capabilities of delivered data
  • Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets
  • Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members
  • Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments
  • Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods

About you

• 3+ years of experience in data mining, statistical modelling, and data analysis, preferably in e-commerce industry, with at least a Bachelor’s in mathematics, engineering, science, statistics or technical degree
• Expertise working with large data sets and proficiency in SQL, Excel
• Proficiency with data wrangling with Python is required
• Experience in statistical analysis and A/B testing, predictive modeling, computational systems, and optimization techniques
• Excellent verbal, written, and data visualization skills
• Independently manage stakeholders with frequent communication, expectation management, meeting deadlines and the backlog
• Demonstrated ability to manage projects and work with different functions (product, strategy, engineering, etc.)
• Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus
• Experience with Git and modern software development workflow is a plus
• Agile way of working and tools (Jira, Confluence, Miro)

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, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.