BCG is hiring for the position of Data Analyst, Predictive Analytics in Bengaluru, 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, India |
Key Responsibilities:
- Collaborate with consulting teams on a wide range of advanced analytics topics as part of the BCG X A&A team.
- Leverage analytical methodologies to deliver value to BCG’s Consulting (case) teams and Practice Areas by providing subject matter expertise and execution support.
- Partner with case teams to gather requirements, define specifications, design, develop, and deliver analytic solutions aligned with client needs.
- Provide ongoing support for analytic solutions to ensure effectiveness and client satisfaction.
- Offer technical expertise and a deep understanding of data analytics solutions and processes to build high-quality, efficient, and scalable solutions.
Eligibility Criteria:
- Bachelor’s or Master’s degree in Business Analytics, Statistics, Economics, Operations Research, Applied Mathematics, Computer Science, Engineering, or related field (advanced degree preferred).
- 2–4 years of relevant industry experience delivering analytics solutions in a commercial setting.
- Prior work experience in a global organization, preferably within a professional services or consulting environment.
- Demonstrated expertise in one or more industries such as Retail, CPG, Healthcare, or Telecommunications.
Core Skills:
- Work effectively with case and proposal teams to deliver analytics-driven solutions.
- Acquire deep expertise in at least one analytics domain while maintaining broad knowledge of all analytics capabilities.
- Define and explain expected analytics outcomes and guide approach selection.
- Deliver original analysis and insights, typically owning all or part of an analytics module and integrating seamlessly with case teams.
- Establish credibility by thought partnering with case teams on analytics topics and drawing actionable conclusions on internal and external issues.
- Communicate analytical insights through clear synthesis and packaging of results using presentations, documents, dashboards, and charts.
- Build and maintain collateral documents to enhance core capabilities, sanitize confidential materials, and manage an internal repository.
- Independently lead workstreams and modules with minimal supervision.
- Support business development activities (e.g., proposals, vignettes) and build sales collateral to generate leads.
- Guide junior team members on analytical methodologies, perform quality checks, and contribute to team knowledge development.
- Provide technical training sessions to team members and consultants.
Technical Skills:
- Strong proficiency in statistics, including concepts and methodologies such as hypothesis testing and sampling, with ability to apply and interpret results.
- 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 (SARIMAX, Prophet, etc.)
- Strong experience with at least one major cloud platform (Azure, AWS, or GCP) and working knowledge of AutoML tools (e.g., SageMaker, Azure ML).
- Proficiency in the following tools and technologies:
- Programming Languages: Python (must have), SQL (must have), plus R, SAS, or PySpark.
- Data Visualization: Tableau, QlikView, Power BI, Streamlit.
- Data Management: Alteryx, MS Access, or relational databases.
- ML Deployment Tools: Airflow, MLflow, Luigi, Docker.
- Big Data Technologies: Hadoop ecosystem, Spark.
- Data Warehousing: Teradata, Azure SQL DW/Synapse, Redshift, BigQuery.
- Version Control: Git, GitHub, GitLab.
- MS Office Suite: Excel, PowerPoint, Word.
- Coding IDEs: VS Code, PyCharm.
- GenAI Tools: OpenAI, Google PaLM/BERT, Hugging Face, etc.
Functional Skills:
- Expertise in building analytical solutions that deliver tangible business value across domains such as:
- Price optimization, promotion effectiveness, product assortment optimization, and sales force effectiveness.
- Personalization and loyalty programs, labor optimization.
- CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendations, loyalty, LTV maximization, churn prevention).
- Strong written and verbal communication skills with the ability to deliver concise and impactful messages confidently.
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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