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Senior Consultant, CPG Analytics

This is a team delivery manager role which would involve client management, internal operations and people management. The incumbent will have the following roles:

Responsibilities

Client Management: S/He would need to engage with clients to understand, define and develop data-driven solutions and be responsible to:

  • Structure business problems and design solution 
  • Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams for Fractal
  • Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights 
  • Understand and translate statistics to address client business problems 
  • Leverage technology to enhance the competitive position of clients by identifying appropriate solutions and/or products and designs 
  • Effectively provide consultancy to clients on various aspects of their business using data analytics
  • Bring technical and domain expertise in client interactions and solution development

Team management:

  • Be a thought leader in the focus area, go to person for internal teams and a source of inspiration for the person
  • Manage and communicate with stakeholders, ensure that the teams follow operational discipline 
  • Improve productivity and utilization within the team
  • Manages projects well and ensure timelines and quality of delivery
  • Contributes to analysis and helps other Fractalites to learn
  • Fosters high quality client service and achieves business targets
  • Build support for ideas and initiatives internally and externally
  • Works with people to develop individual development plans and provide ongoing mentorship
  • Forecast people requirements, manage staffing and other business needs

Qualification & Experience

  • 6-8 years relevant experience in analytics preferably in CPG / FMCG / Retail / Consumer Product analytics
  • Good logical thinking and problem-solving skills.
  • Excellent written and verbal communication 
  • Demonstrated ability to handle multiple types of data
  • Awareness of CPG industry data sets – syndicated sources, any custom research studies, etc would be a plus
  • Technical mastery in tools such as SAS, R, SQL, Tableau, Spotfire, QlikView or other visualization / Analytics Tools

Education: MBA or advanced degree in a quantitative discipline is required

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