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Data Analyst, Predictive Analytics, India- X Delivery

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BCG X

14d ago

  • Job
    Full-time
    Junior & Mid Level
  • Consulting
    Data
  • Gurgaon

AI generated summary

  • You need a Bachelor/Master's in analytics, stats, or related fields, 2-4 years in analytics, global experience, and expertise in industries like Retail, CPG, or Healthcare.
  • You will analyze data, develop predictive models, support case teams, communicate insights, lead projects, mentor juniors, and enhance analytics capabilities to drive client value.

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.

Responsibilities

  • 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.
  • 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
  • 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
  • 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.)
  • 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.

FAQs

What locations are available for the Data Analyst position?

The locations for this position are Gurgaon and Bengaluru, India.

What educational background is required for this role?

A Bachelor’s or Master’s degree in a field related to business analytics, statistics, economics, operations research, applied mathematics, computer science, engineering, or a related field is required; an advanced degree is preferred.

How many years of relevant experience do I need to qualify for this position?

At least 2-4 years of relevant industry work experience providing analytics solutions in a commercial setting is required.

Is prior work experience in a global organization preferred?

Yes, prior work experience in a global organization, preferably in a professional services organization in a data analytics role, is preferred.

What technical skills are required for the Data Analyst position?

Strong proficiency in statistics, hands-on experience with data mining and predictive modeling, experience with cloud providers, programming languages (Python, SQL), data visualization tools, ML deployment tools, big data technologies, and data warehouse solutions are required.

Will I be involved in business development activities?

Yes, the role involves supporting business development activities such as proposals and building sales collateral.

Are there opportunities for mentoring or guiding junior team members?

Yes, the role includes guiding juniors on analytical methodologies and platforms and helping with quality checks.

What type of projects will I be working on as a Data Analyst?

You will work on a diverse range of advanced analytics topics, including price optimization, promotion effectiveness, product assortment optimization, and customer lifetime value maximization.

What soft skills are important for this position?

Strong and effective written and verbal communication skills, along with the ability to communicate analytical insights clearly and confidently, are crucial for this position.

Is experience in specific industries such as Retail, CPG, or Healthcare important?

Yes, demonstrated depth in one or more industries, including Retail, CPG, Healthcare, or Telco, is important for this role.

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BCG X

BCG’s tech build and design unit. We build tomorrow. #BCGX

Technology
Industry
1001-5000
Employees

Mission & Purpose

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.