Associate - Data Ops Estimations (Data Business Coe)

**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**

**What you’ll do**
- Primary responsibilities will include working closely with the Estimations, Data Operations, and Engineering teams.
- This will include helping and assist our clients on large datasets; focused on data projections, estimations, and validation.
- 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 measurment data, projections, and analytics from Pyxis’ vast array of alternative data sources and supplemental datasets
- Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database enviroments
- 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 ecommerce industry, with at least Bachelor’s in mathematics, engineering, science, statistics or technical degree
- Expertise working with large data sets and proficiency in SQL, Excel
- Experience in Python
- 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..