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 ATWorking with case (and proposal) teamsDelivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case teamEstablishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your moduleExecuting analytical approach and creating defined outcome; contributing to approach selection focusing on problem solving and client value aspectsWrapping the outcomes of analysis into ready-to-use software modules / minimal viable products / dashboardsCommunicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants; collecting, synthesizing, analyzing case team learning & inputs into new best practices and methodologiesDeveloping broad expertise in at least one analytics topic or platformThinking AnalyticallyYou 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.
Technical Skills (Must have):Overall fluency in either of Python or RAbility to read, create, debug and package code, being comfortable using either of Pycharm, R-Studio, Visual Studio or any other IDESQL scripting, ability to collect data from relational databases, e.g. PostgreSQL, MySQL, MSSQL etc.Data wrangling with Python (pandas) or R (dplyr, datatable)Hands on statistical inference using Python, R as well as MS Excel extensionsHands on experience with data visualization using charting tools like Matplotlib, Seaborn, Ggplot2, Plotly, Lattice, HighCharts, D3.jsHands on experience of quick and dirty data presentation using either of Tableau, PowerBI or QlikViewExperience in interactive data visualisation using the tools like Shiny, Dash, Bokeh etc.Basic skills in UI creation for responsive web apps: HTML, CSS, JavaScript, JQuery, BootstrapSelf-learning and quick ramping in previously unfamiliar technological stack if neededTechnical Skills (Good to have):Understanding of and hands on experience with apps containerization and automated deployment (Docker, K8s)Experience with proprietary low-code data wrangling, predictive analytics and modelling tools (either of Alteryx, Knime, Dataiku, SAS, SPSS etc.)Experience with cloud architectures (Azure/AWS) and machine learning platforms e.g. Azure ML, AWS SagemakerExperience with querying NoSQL databases e.g. MongoDB, Redis Cassandra etc.Understanding of lambda architecture concepts and experience with creation of batch and streaming data pipelines (Airflow, Kafka, NiFi)Experience with big data analytics stack (Hadoop, Spark, Databricks)Advanced Excel skills (e.g. VBA scripting)YOU BRING (EXPERIENCE & QUALIFICATIONS)Bachelor's / Master's degree (mention the course as per requirement)At least 2-4 years within relevant domain of Advanced Analytics and Software Development across industries and work experience providing analytics solutions in a commercial settingConsulting experience will be considered a plusExcellence in English and RussianYOU'LL WORK WITHYou will report to the Data & Analytics Manager - GAMMA, and you will work with the case team on client projects.
ADDITIONAL INFORMATIONBCG GAMMA A combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA A team is comprised of data engineers, data scientists and business consultants who specialize in the use of advanced analytics to get high-impact business results. Our teams own the full analytics value-chain end to end.
Job Summary
Job number: 14869BR
Date posted: 2021-11-20
Profession: Data Science & Analytics
Employment type: Full time
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