BCG is hiring for the position of Data Analyst, Predictive Analytics in Bengaluru; Gurgaon, India. Candidates with a Bachelor’s/ Master’s degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | BCG |
| Position | Data Analyst, Predictive Analytics |
| Qualifications | Bachelor’s/ Master’s degree |
| Experience | Experienced |
| Location | Bengaluru; Gurgaon, India |
Key Responsibilities:
- Work closely with consulting teams in the BCG X A&A division on a wide range of advanced analytics initiatives.
- Apply analytical methodologies to deliver value to BCG’s consulting case teams and Practice Areas by providing subject-matter expertise and accelerated execution support.
- Collaborate with case teams to gather requirements, define specifications, design solution approaches, develop analytics models, and deliver outcomes aligned with client needs.
- Provide technical support by leveraging deep knowledge of data analytics tools, solutions, and processes to build high-quality and efficient analytical deliverables.
Responsibilities:
- Work effectively with case and proposal teams throughout project execution.
- Develop deep expertise in at least one analytics domain while maintaining understanding of all available analytics capabilities.
- Define expected analytics outcomes and recommend suitable methodologies or approaches.
- Deliver original analysis and actionable insights, typically owning all or part of an analytics work module and integrating results with case team objectives.
- Establish credibility by partnering with consulting teams on analytics matters and drawing meaningful conclusions on internal and external issues within assigned modules.
- Communicate analytical findings through structured presentations, documents, dashboards, and charts, providing clear synthesis and visual representation of results.
- Collect, analyze, and document insights from case team engagements to support the development of new best practices and methodologies.
- Develop and maintain documentation to enhance internal analytical capabilities, sanitize confidential information, and build organized reference repositories.
- Lead analytics workstreams or modules independently, with minimal supervision.
- Support business development activities, including preparing proposals, case vignettes, and sales collateral to generate new opportunities.
- Guide junior team members on analytical methods, tools, and platforms while conducting quality checks for project deliverables.
- Contribute to internal content creation, team thought leadership, and intellectual property development.
- Provide technical training sessions for team members and consulting stakeholders to strengthen overall analytical competency.
Eligibility Criteria:
- Bachelor’s or Master’s degree in business analytics, statistics, economics, operations research, applied mathematics, computer science, engineering, or a related field; an advanced degree is preferred.
- 2–4 years of relevant industry experience delivering analytics solutions in a commercial environment.
- Prior experience in a global organization, preferably within a professional services or data analytics role.
- Demonstrated expertise in one or more industries, including but not limited to retail, consumer packaged goods (CPG), healthcare, or telecommunications.
- Previous experience working in a global professional services environment is strongly preferred.
Technical Skills:
- Strong proficiency in statistical concepts and methodologies, including hypothesis testing, sampling techniques, and interpretation of statistical results.
- Hands-on experience in data mining and predictive modeling using linear regression, clustering (e.g., K-Means, DBSCAN), classification (logistic regression, decision trees, random forest, boosted trees), and time-series forecasting (e.g., SARIMAX, Prophet).
- Proven experience with at least one major cloud platform such as Azure, AWS, or Google Cloud, along with working knowledge of AutoML solutions such as SageMaker or Azure ML.
- Proficiency with at least one tool in each of the following categories:
- Programming languages: Python (required), plus R, SAS, or PySpark; SQL (required)
- Data visualization tools: Tableau, QlikView, Power BI, or Streamlit
- Data management tools: Alteryx, MS Access, or any relational database management system (RDBMS)
- ML deployment tools: Airflow, MLflow, Luigi, Docker, etc.
- Big data technologies: Hadoop ecosystem and Spark
- Data warehouse platforms: Teradata, Azure SQL DW/Synapse, Redshift, BigQuery, etc.
- Version control: Git, GitHub, or GitLab
- Productivity tools: Microsoft Excel, PowerPoint, and Word
- Coding environments: VS Code or PyCharm
- GenAI tools: OpenAI, Google PaLM/BERT, Hugging Face, and related frameworks
Functional Skills:
- Expertise in building analytical solutions that deliver measurable business value for clients across multiple domains.
- Experience with use cases such as price optimization, promotion effectiveness, product assortment planning, and sales force efficiency.
- Knowledge of customer lifecycle management (CLM), segmentation, cross-sell/upsell, recommendation systems, loyalty programs, churn prevention, lifetime value maximization, and revenue enhancement strategies.
- Strong written and verbal communication skills, with the ability to present analytical insights clearly, confidently, and concisely.
About Company:
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders – empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.
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