KPMG India

2

Job description

Responsibilities

  • Assess, capture, and translate complex business issues and requirements into a structured analytics use case, including rapid learning of industry/domain/client dynamics and development of effective work stream plans
  • Utilize a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory analyses that will reveal insight and opportunities for the client
  • Deliver client analytics project work stream through direct ownership of data ingestion, validation, mining, and engineering, as well as modeling, visualization, and client communication deliverables (on more advanced projects, will work with data science, big data, and visualization experts)
  • Build analytics solutions using variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
  • Support project leaders in tracking and communicating project risks, budget, rates, and launch/closeout activities, including the administration of work papers and collaboration sites
  • Proactively broaden and deepen client relationships by working with varying levels of client team members

Qualifications

  • Minimum of four years of data analytics experience with a professional services firm, an internal strategy/analytics group, or similar environment
  • Bachelor’s degree in a technical or quantitative field from an accredited college or university (master’s or MBA degree preferred) with working knowledge of topics such as statistics, econometrics, machine learning, operations research, decision science, and cloud computing
  • Demonstrated analytics solution design and build expertise, work stream management skills, strong business consulting acumen in applying advanced analytics to solve business issues, and knowledge of business operational, process, delivery, and revenue models
  • Strong communication skills with the ability to explain technical concepts and analytics-driven findings to business people, and to explain business processes, concepts, challenges, and issues to technical resources with the Ability to travel up to 80%
  • Proficiency with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL, C#, SQL, JSON, PolyBase) and visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript
  • Knowledge on utilizing the Cortana Intelligence Suite of analytics services part of Microsoft Azure including HDInsight, Azure Data Lake Analytics, Azure SQL Data Warehouse, Azure SQL, Data Factory, Streaming Analytics, Data Catalog, and Power BI; experience with on premise Microsoft technologies such as SQL Server 2016 (SSIS, SSRS, SSAS) and Microsoft APS is a plus