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Data Analyst - BCG X Delivery


Décryptage du poste par Postule AI

About Boston Consulting Group

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.

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.

The Role

As a part of BCG X team, you will work closely with consulting teams on a diverse range of advanced analytics topics. You will leverage analytical methodologies, subject matter expertise, and accelerated execution to deliver value to BCG's Consulting (case) teams and Practice Areas. You will collaborate with case teams to gather requirements, specify, design, develop, deliver, and support analytics solutions serving client needs.

Main Responsibilities

  • Deliver original analysis and insights to case teams, typically owning all or part of an analytics module
  • Apply analytical, statistical and programming skills, building models, creating algorithms and using appropriate tools to discover knowledge from large data sources
  • Wrap the outcomes of analysis into ready-to-use software modules, minimal viable products, or dashboards
  • Train project and client teams on advanced analytics approaches and tools to increase the impact of their work
  • Communicate analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts)
  • Develop broad expertise in at least one analytics topic or platform

Required Technical Skills

  • Overall fluency in either Python or R: ability to read, create, debug and package code, comfortable using IDEs like Pycharm, R-Studio, or Visual Studio
  • SQL scripting and ability to collect data from relational databases (PostgreSQL, MySQL, MSSQL)
  • Data wrangling with Python (pandas) or R
  • Hands-on statistical inference using Python, R as well as MS Excel extensions
  • Experience in data visualization and presentation using Tableau, PowerBI, QlikView, Dash, or similar tools
  • Self-learning and quick ramping in previously unfamiliar technological stack

Preferred Technical Skills

  • Experience in building scalable production-ready dashboards and web applications using Python or JS frameworks (Django, Flask, React, Vue, Angular)
  • Experience with low-code data wrangling, predictive analytics and modelling tools (Alteryx, Knime, Dataiku, SAS, SPSS)
  • Experience with customer analytics, pricing optimization, predictive maintenance, supply chain optimization, network optimization, or workforce allocation
  • Experience in GeoAnalytics using Python or specialized solutions
  • Experience in simulation modelling and optimization approaches (Operations Research, Linear Programming, Mixed Integer Programming)
  • Knowledge of optimization and simulation tools (AIMMS, LLamasoft, Gurobi, AnyLogic)
  • Experience with big data environments (Amazon Redshift, Hadoop/HIVE, Teradata)
  • Experience with collaboration tools and ticketing systems (JIRA, Confluence, GitHub)

Qualifications

  • Bachelor's or Master's degree related to computer science, data engineering, data science, statistics, mathematics, or economics
  • Previous experience in the domain of Advanced Analytics (internships included)
  • Analytical expertise, including the ability to synthesize complex data, understand system capabilities and constraints, apply specific analytics methodologies, and deliver impactful solutions
  • Consulting experience will be considered a plus
  • Fluent written and spoken English (other languages desirable)

Cette description d'emploi a pu être reformatée par Postule pour améliorer sa lisibilité et sa présentation. Le contenu et les informations restent fidèles à l'offre d'emploi originale. .