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About BCG X
BCG X is a diverse team of more than 3,000 tech experts united by a drive to make a difference. We combine experience and expertise to tackle the biggest challenges faced by society today, creating innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services.
The Role
As a Senior Data Analyst in the 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.
Key Responsibilities
- Deliver original analysis and insights to case teams, typically owning all or part of an analytics module
- Apply analytical, statistical and programming skills to build models, create algorithms and discover knowledge from large and versatile data sources
- Wrap outcomes of analysis into ready-to-use software modules, minimal viable products, and dashboards
- Train project and client teams on advanced analytics approaches and tools to increase impact
- Communicate analytical insights through sophisticated synthesis and packaging of results including presentations
- Develop broad expertise in at least one analytics topic or platform
Required Technical Skills
- Fluency in Python or R: ability to read, create, debug and package code 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 and MS Excel extensions
- Experience in data visualization using Tableau, PowerBI, QlikView, or Dash
- Self-learning ability and quick ramping in unfamiliar technological stacks
Preferred Technical Skills
- Experience building scalable dashboards and web applications using Python or JS frameworks (Django, Flask, React, Vue, Angular)
- Experience with low-code tools like Alteryx, Knime, Dataiku, SAS, or SPSS
- Experience with customer analytics, pricing optimization, supply chain optimization, or related topics
- Knowledge of simulation modeling and optimization approaches (Operations Research, Linear Programming)
- Experience with big data environments (Amazon Redshift, Hadoop/HIVE, Teradata)
- Familiarity with collaboration tools like JIRA, Confluence, and GitHub
Qualifications
- Bachelor's or Master's degree in computer science, data engineering, data science, statistics, mathematics, or economics
- At least 4+ years of experience in Advanced Analytics (internships included)
- Analytical expertise with ability to synthesize complex data and deliver impactful solutions
- Fluent written and spoken English (other languages desirable)
- Consulting experience is a plus
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