Analyst/Senior Analyst, Data Engineering
The Boston Consulting Group
Casablanca, London, Madrid, Moscow, Morocco, Russia, Spain, United Kingdom
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BCG's Advanced Analytics group GAMMA delivers powerful analytics-based insights designed to help our clients tackle their most pressing business problems.

We partner with BCG case teams and practices across the full analytics value chain : Framing new business challenges, building fact-

bases, designing innovative analytics workflows, training colleagues in new methodologies and interpreting findings for our clients.

The GAMMA team is a global resource, working with clients in every BCG region and in every industry area. It is a core member of a rapidly growing analytics enterprise at BCG a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches.


BCG has established GAMMA to enable case teams in managing and realizing insight and opportunity by application of advanced analytics to our clients' problems.

Data Engineers, Data Scientists, Scientific Modelers, Scientific Programmers, Data Visualization Specialists as well as Geospatial Analysts are the core of the GAMMA team.

They work closely with case teams to provide both consultation on analytics topics and hands-on support, focusing on data engineering, advanced analytics tools, modelling, visualization, and bespoke client-

facing analytics deliverables.

The (Senior) Analyst Data Engineering will join a growing team with a global presence, and will work with both clients and case teams worldwide.

Successful candidates shall possess advanced analytical technical expertise in the field of data engineering, strong collaborative and execution capabilities, excellent communication skills, a practical and flexible mindset and high attention to detail and work quality.

Act as a thought partner and provide problem solving and data engineering expertise insights, guide case teams to avoid pitfalls and hurdlesDesign databases, develop extract-

transfer-load (ETL) processes and facilitate customized (statistical) analyses for client workBuild distributed, high-volume data pipelines to power new insights based on analytics and machine-

learning (using open source tech staks across different cloud / Onprem environments)Deliver accurate, fully tested output and documentation that meets business requirementsPerform quality assurance according to standards and guidelines for client projectsWork on site or remote with case teams and clientsWork as an individual contributor directly with a case team or as team member in larger case team settings

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