YOU'RE GOOD AT
- Working with case (and proposal) teams
- Acquiring deep expertise in at least one analytics topic & understanding of all analytics capabilities
- Defining and explaining expected analytics outcome; defining approach selection
- Delivering original analysis and insights to BCG teams, typically owning all or part of an analytics module and integrating with case teams
- Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to their module
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PowerPoint presentation, Documents, dashboard and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies
- Build collateral of documents for enhancing core capabilities and supporting reference for internal documents; sanitizing confidential documents and maintaining a repository
- Able to lead workstreams and modules independently or with minimal supervision
- Ability to support business development activities (proposals, vignettes etc.) and build sales collateral to generate leads
- Team requirements: Guides juniors on analytical methodologies and platforms, and helps in quality checks
- Contributes to team's content & IP development
- Imparts technical trainings to team members and consulting cohort
- Technical Skills: Strong proficiency in statistics (concepts & methodologies like hypothesis testing, sampling, etc.) and its application & interpretation
- Hands-on data mining and predictive modeling experience (Linear Regression, Clustering (K-means, DBSCAN, etc.), Classification (Logistic regression, Decision trees/Random Forest/Boosted Trees), Timeseries (SARIMAX/Prophet)etc.
- Strong experience in at least one of the prominent cloud providers (Azure, AWS, GCP) and working knowledge of auto ML solutions (Sage Maker, Azure ML etc.)
- At least one tool in each category;
- Programming language - Python (Must have), (R Or SAS OR PySpark), SQL (Must have)
- Data Visualization (Tableau, QlikView, Power BI, Streamlit) ,
- Data management (using Alteryx, MS Access, or any RDBMS)
- ML Deployment tools (Airflow, MLflow Luigi, Docker etc.)
- Big data technologies ( Hadoop ecosystem, Spark)
- Data warehouse solutions (Teradata, Azure SQL DW/Synapse, Redshift, BigQuery etc,)
- Version Control (Git/Github/Git Lab)
- MS Office (Excel, PowerPoint, Word)
- Coding IDE (VS Code/PyCharm)
- GenAI tools (OpenAI, Google PaLM/BERT, Hugging Face, etc.)
- Functional Skills:
- Expertise in building analytical solutions and delivering tangible business value for clients (similar to the use cases below)
- Price optimization, promotion effectiveness, Product assortment optimization and sales force effectiveness, Personalization/Loyalty programs, Labor Optimization
- CLM and revenue enhancement (segmentation, cross-sell/up-sell, next product to buy, offer recommendation, loyalty, LTV maximization and churn prevention)
- Communicating with confidence and ease: You will be a clear and confident communicator, able to deliver messages in a concise manner with strong and effective written and verbal communication.
What You'll Bring
- Bachelor/Master's degree in a field linked to business analytics, statistics or economics, operations research, applied mathematics, computer science, engineering, or related field required; advanced degree preferred
- At least 2-4 years of relevant industry work experience providing analytics solutions in a commercial setting
- Prior work experience in a global organization, preferably in a professional services organization in data analytics role
- Demonstrated depth in one or more industries not limited to but including Retail, CPG, Healthcare, Telco etc
- Prior work experience in a global organization, preferably in a professional services organization in data analytics role to join our ranks.