WHAT YOU'LL DO

As a part of BCG’s GAMMA 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

YOU'RE GOOD AT

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 case 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 PPT slides and charts) with consultants, collects, synthesizes, analyses case team learning & inputs into new best practices and methodologies
• Assuring proper sign‐off before uploading materials into internal repository for reference; sanitizing confidential client content in marketing documents
• Able to generate project work for self via connect

Team Requirements:

• 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

Technical Skills:

• Proficient understanding of distributed computing principles
• Management of Spark clusters, with all included services – various implementations of Spark preferred
• Ability to solve ongoing issues with operating the cluster and optimize for efficiency
• Understanding of prevalent cloud ecosystems and its associated services AWS, Azure, Google Cloud, IBM Cloud. Expertise in at least one.
• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
• Good understanding of Lambda Architecture, along with its advantages and drawbacks

Good to have:
Functional Skills

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Implementing ETL process(s) across on-premise and cloud architectures
• Monitoring performance and advising any necessary infrastructure changes

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.

Analytical Thinking

• You should be strong in analytical solutioning with hands on experience in advanced analytics delivery, through the entire life cycle of analytics. Strong analytics skills with the ability to develop and codify knowledge and provide analytical advice where required.

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• 
  Bachelor's / Master's degree in computer science engineering/technology
• At least 4-6 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting
• Consulting experience will be considered a plus

YOU'LL WORK WITH

Our data analytics and artifical intelligence professionals mix deep domain expertise with advanced analytical methods and techniques to develop innovative solutions that help our clients tackle their most pressing issues. We design algorithms and build complex models out of large amounts of data.