Data Analyst chez Boston Consulting Group

Missions:

•   Delivering original analysis and insights to case teams, typically owning all or part of an analytics module
•   Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module
•   Executing analytical approaches and creating defined outcomes; contributing to approach selection focussing on problem solving and client value aspects
•   Applying analytical, statistical and programming skills, building models, creating algorithms and using appropriate tools to discover knowledge from a variety of large and versatile data sources
•   Wrapping the outcomes of analysis into ready-to-use software modules / minimal viable products / dashboards
•   Training the project and client teams on advanced analytics approaches in general as well as on the use of tools and methodologies to increase the impact of their work
•   Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts)
•   Developing broad expertise in at least one analytics topic or platformThinking Analytically:
•   You should be strong in analytical solutioning with hands on experience in advanced delivery, through the entire life cycle of analytics. Strong technical and statistical skills with the ability to develop and codify knowledge and provide analytical advice where required.

Profil : 

Technical Skills (Must have):

•   Overall fluency in either of Python or R: ability to read, create, debug and package code, being comfortable using either of Pycharm, R-Studio, Visual Studio or any other IDE
•   SQL scripting, ability to collect data from relational databases, e.g. PostgreSQL, MySQL, MSSQL etc.)
•   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 either of Tableau, PowerBI, QlikView, Dash, …
•   Self-learning and quick ramping in previously unfamiliar technological stack if needed

Technical Skills (Good to have):

•   Experience in building scalable production ready dashboards and web applications using Python or JS frameworks e.g. either of Django, Flask, React, Vue, Angular etc.
•   Experience with proprietary low-code data wrangling, predictive analytics and modelling tools (either of Alteryx, Knime, Dataiku, SAS, SPSS etc.)
•   Experience with customer analytics, pricing optimization, predictive maintenance, supply chain optimization, network optimization, workforce allocation, smart manufacturing and related topics in a global organization or professional services is preferred
•   Experience in GeoAnalytics using Python or specialized solutions is a plus
•   First experience in simulation modelling and optimization approaches (Operations Research / Linear Programming / Mixed Integer Programming)
•   Knowledge of dedicated optimization and simulation tools (AIMMS, LLamasoft, Gurobi, AnyLogic) is a plus
•   Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA
•   Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata
•   Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred

Qualifications:

•   Bachelor's / Master's degree related to computer science, data engineering, data science, statistics, mathematics, or economics is required
•   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)