Senior Data Analyst (Predictive Analytics, Key) - X Delivery

Who We Are

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 help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

As a part of BCG’s X Delivery team you will work closely with practice areas on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies to deliver value to BCG's Consulting (case) teams and Practice Areas (domain) through providing analytics subject matter expertise, and accelerated execution support.

You will collaborate with PA or case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs or needs of BCG products and practise areas. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.

YOU'RE GOOD AT

Working with PA (and case) teams

• 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 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

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• 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 5-6 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

Who You'll Work With

You will report to the Lead analyst in X Delivery , and you will work with the larger team on project delivery.

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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