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Associate \u2013 Data Ops Estimations (Data Business CoE)

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Bain & Company

1mo ago

  • Job
    Full-time
    Mid Level
  • Consulting
    Data
  • Delhi

AI generated summary

  • You need 3+ years in data mining and analysis, SQL and Excel proficiency, Python for data wrangling, A/B testing experience, strong communication skills, and project management abilities.
  • You will validate data quality, enhance data processes, apply machine learning techniques, manage alternative data, and document procedures while preparing data using Python, R, and SQL.

Requirements

  • 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
  • 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)

Responsibilities

  • 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

FAQs

What is the role of an Associate in Data Ops Estimations at Bain & Company?

The Associate in Data Ops Estimations will work closely with the Estimations, Data Operations, and Engineering teams, assisting clients with large datasets focused on data projections, estimations, and validation.

What are the primary responsibilities of this position?

Primary responsibilities include ensuring high-quality data delivery, leading data refresh validations, assisting with secondary research to validate data trends, implementing data science methods, and improving core data assets.

What qualifications are required for this position?

Candidates should have 3+ years of experience in data mining, statistical modeling, and data analysis, with a Bachelor’s degree in mathematics, engineering, science, statistics, or a related technical field.

What technical skills are necessary for candidates applying for this role?

Required skills include proficiency in SQL, Excel, and data wrangling with Python, along with experience in statistical analysis, predictive modeling, and working with large datasets.

Is experience in the e-commerce industry preferred for this role?

Yes, experience in the e-commerce industry is preferred.

What types of tools and methodologies will the Associate be working with?

The Associate will work with analytical tools and techniques such as forecasting, regression, anomaly detection, clustering, and data visualization tools, along with cloud computing solutions.

How does this role interact with clients?

The Associate will assist clients by providing insights and data solutions, managing stakeholder communications, and ensuring project timelines and expectations are met.

What makes Bain & Company a great place to work?

Bain & Company is recognized as one of the world's best places to work, focusing on diversity, inclusion, and collaboration to build extraordinary teams.

Does the company offer opportunities for professional development?

Yes, Bain & Company creates an environment for individuals to thrive professionally and personally, supporting their growth and development.

What is the work environment like at Bain & Company?

The work environment is collaborative and inclusive, with a strong emphasis on teamwork, diversity, and supporting employee well-being.

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Bain & Company

Consulting
Industry
10,001+
Employees
1973
Founded Year

Mission & Purpose

Bain & Company is a global consultancy that helps the world’s most ambitious change makers 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, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. 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