Data Analyst - X Delivery

BCG X

BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow.

Practice Area Profile

What You'll Do

As a part of BCG X A&A team, you will work closely with consulting teams 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 case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. 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 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.

Thinking Analytically

You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.#BCGXjob

What You'll 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 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, Heatlhcare, Telco etc
Prior work experience in a global organization, preferably in a professional services organization in data analytics role to join our ranks.#LI-ND1

Our data analytics and artificial intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.