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Senior Data Consultant |Strategy Consulting | India

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Delta Partners
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2222A Requisition #

Position Summary: Based within our Management Consulting business line, Senior Analytics Specialists work with consultants on client engagements to perform analyses that extract business-driven insights from vast and complex datasets and deliver client value. Candidates would frequently need to be at client site and interact with client counterparts day-to-day to deliver project assignments and socialize findings in partnership with the Strategy consulting teams.

Responsibilities: A Senior Analytics Specialist should be the intellectual engine for projects in which data analytics capabilities are required. The following are the skillsets that we are looking for in a candidate

Problem solving
o Structure and design data requests and data quality checks without supervision and be able to understand the data landscape (Data sources, EDW, Data Lake etc.) of the client
o Own the set-up of development environment required to execute and deploy data pipelines and analytics models
o Support the definition of data and analytics methodologies and design concepts to deliver various analytics use-cases – provide a senior level of expertise
o Own and Lead the development of complex data and modelling pipelines across all the development lifecycle
o Manage the deployments of data and analytics artifacts into client production, working alongside client technical teams
o Familiarity with a broad base of analytics tools (one or more of the following):
▪ Data management: e.g. SQL, PostGRESql, Hadoop/Hive, Spark
▪ Analytics platforms: e.g. Python, R, SAS
▪ Data visualization: e.g. Tableau, PowerBI
▪ GIS - QGIS, PostgresSQL (PostGIS)
▪ DevOps tools-Git, DVC, RestApi, Flask
o Experience in core analytics methods (one or more of the following):
▪ Statistics (t-tests, ANOVA), variable reduction (FA, PCA),
▪ Segmentation/clustering techniques – K-means, Hierarchical clustering, Geographic cluster recognition and manipulation techniques,
▪ Predictive modeling: e.g. logistic regression, linear regression,
▪ Machine learning: e.g. LCA, Random Forest, neural networks
o Partner with Advisory consultants to produce clean, well-structured, error-free and conceptually sound outputs to project analyses

 

Client management –
o Partner with Strategy consulting team to create stories and narratives using the insights from model outputs in presentation format
o Bridge the gap between technical data science and business concepts be comfortable in both business and technical interpretation of insights
o Liaise with mid to senior analytics counterparts from the client

 

Personal and Team management –
o Supervise and coach junior data scientists and provide quality assurance for their outputs
o Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix
organization are a must
o Contribute to internal IP development efforts
o Proactively understand major issues affecting the TMT industry and investigate opportunities for
analytics to add strategic value to them

 

#LI-SS1

Experience and Skills:


• Quantitative degree from a top school or previous relevant work experience
• Fluency in English (written and spoken)
• 4-6 years of relevant experience with similar responsibilities
• Previous experience in management consulting or in the telecommunications industry
• Proficient in Microsoft Office Applications: Outlook, Excel, Word and PowerPoint
• Solid knowledge on the Telecommunications, Media and Technology (TMT) industry


Personal Attributes:
• Highly organised and structured
• Logical and lateral thinker
• Strongly motivated to perform, learn and improve
• Flexibility to accommodate frequent travel
• Proactively takes the initiative beyond the tasks assigned
• Team player, open-minded, possesses cultural awareness and sensitivity
• Exceptional interpersonal skills with the ability to influence and add value
• Smart appearance, well-presented and professional at all times
• Mature demeanor and positive attitude, as well as discretion and sensitivity when dealing with clients

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