Data Analyst Job in Bengaluru at Boston Consulting Group (BCG)

Boston Consulting Group is hiring for the role of Data Analyst!

Responsibilities of the Candidate:

• 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.

Requirements:

• 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.