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 |
| Batch | 2019/ 2020/ 2201/ 2022/ 2023/ 2024 |
| Experience | Experienced |
| Location | Bengaluru; Gurgaon, India |
Key Responsibilities:
- Collaborate with case and proposal teams to deliver high-quality analytics support.
- Develop deep expertise in at least one analytics domain while maintaining a working understanding of all analytics capabilities.
- Define and articulate expected analytics outcomes and determine appropriate analytical approaches.
- Deliver original analyses and insights to BCG teams, typically owning all or part of an analytics module and integrating with case teams.
- Establish credibility by partnering with case teams on analytics topics and drawing conclusions on a range of internal and external issues related to the module.
- Communicate analytical findings through well-structured synthesis and clear presentation of results, including PowerPoint decks, documents, dashboards, and charts.
- Gather, synthesize, and analyze case team learnings to contribute to new best practices and improved methodologies.
- Build and maintain collateral documents to enhance core capabilities, sanitize confidential materials, and manage a structured document repository.
- Lead workstreams and analytics modules independently or with minimal supervision.
- Support business development initiatives by contributing to proposals, vignettes, and creating sales collateral to generate leads.
- Guide junior team members on analytical methodologies, platforms, and perform quality checks to ensure accuracy.
- Contribute to the team’s content creation and intellectual property development efforts.
- Deliver technical training sessions to team members and consulting cohorts.
Eligibility Criteria:
- Bachelor’s or Master’s degree in Business Analytics, Statistics, Economics, Operations Research, Applied Mathematics, Computer Science, Engineering, or a related field (advanced degree preferred).
- 2–4 years of relevant industry experience in delivering analytics solutions in a commercial setting.
- Prior work experience in a global organization, preferably within professional services, in a data analytics role.
- Industry exposure and depth in one or more sectors, including Retail, CPG, Healthcare, Telecommunications, etc.
Technical Skills:
- Strong proficiency in statistics, including concepts and methodologies such as hypothesis testing, sampling, and their application and interpretation.
- Hands-on experience in data mining and predictive modeling, including:
- Linear Regression
- Clustering (K-means, DBSCAN, etc.)
- Classification (Logistic Regression, Decision Trees, Random Forest, Boosted Trees)
- Time Series Modeling (SARIMAX, Prophet, etc.)
- Solid experience with at least one major cloud platform (Azure, AWS, or GCP) and working knowledge of AutoML solutions (SageMaker, Azure ML, etc.).
- Proficiency in the following tool categories:
- Programming Languages: Python (mandatory), plus R or SAS or PySpark; SQL (mandatory)
- Data Visualization: Tableau, QlikView, Power BI, Streamlit
- Data Management: Alteryx, MS Access, or any RDBMS
- Machine Learning Deployment: Airflow, MLflow, Luigi, Docker
- Big Data Technologies: Hadoop ecosystem, Spark
- Data Warehousing: Teradata, Azure SQL DW/Synapse, Redshift, BigQuery
- Version Control: Git, GitHub, GitLab
- Microsoft Office Suite: Excel, PowerPoint, Word
- Coding IDEs: VS Code, PyCharm
- Generative AI Tools: OpenAI, Google PaLM/BERT, Hugging Face, etc.
Functional Skills:
- Proven expertise in building analytical solutions that deliver measurable business value, such as:
- Price optimization and promotion effectiveness
- Product assortment optimization and sales force effectiveness
- Personalization and loyalty program strategies
- Labor optimization
- Customer lifecycle management (segmentation, cross-sell/up-sell, next-product recommendations, loyalty, LTV maximization, and churn prevention)
- Strong written and verbal communication skills with the ability to convey insights confidently, clearly, and concisely to stakeholders.
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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