Assistant Manager

Job Overview

4.5-8
INDIA - Bengaluru
UG
About LatentView:

  • LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide 360-degree view  of the digital consumer, fuel machine learning capabilities and support artificial intelligenceinitiatives.,
  • LatentView Analytics enables leading global brands to redict new revenue streams, anticipate product trends and popularity, improve customer retention rates,optimize investment decisions, and turn unstructured data into a valuable business asset.
  •  We specialize in Predictive Modelling, Marketing Analytics, Big Data Analytics, Advanced Analytics, Web Analytics, Data Science, Data Engineering, Artificial Intelligence and Machine Learning Applications.
  •  LatentView Analytics is a trusted partner to enterprises worldwide, including more than two dozen Fortune 500 companies in the retail, CPG, financial, technology and healthcare
     sectors.
 
Job Description:

  • Independently handle delivery of analytics assignments 
  • Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery with actionable insights 
  • Take responsibility for helping grow the business (related to business development) as well as grow the technical skill-building within the organization (training, process definition, research of new tools and techniques, etc).


Job Requirement:

  • 5 to 10 Years of hands-on experience in delivering analytics solutions for businesses 
  • Expertise in RDBMS concepts, SQL or Oracle or Teradata 
  • Experience in R, Python and any visualization tool 
  • Strong problem solving, business analysis and quantitative skills
  • Good communication, Interpersonal skills 
  • Worked with business for better understanding of business problems, identifying the right data elements for the analysis, and designing an analytical solution framework to address the problem 
  • Worked in analytical modeling, solution design, data sampling, variable design, segmentation analysis, and development of statistical models 
  • Conducted in-depth analysis of both qualitative and quantitative program data through various methods including univariate, bivariate, and multivariate analysis as appropriate 
  • Analyzed the data using relevant machine learning algorithms and statistical techniques like Time Series, Regression, Clustering, decision tress, Text-mining etc 
  • Conceptualized, designed and developed reporting mechanisms using visualization techniques and dashboards to help derive quick desktop research-based decision-making 
  • Communicated with diverse client departments (Product, Marketing, Risk, customer insights, technology etc) to help ensure seamless delivery of projects and better management of business expectations 
  • Liaise with onsite teams and ensure deliverables are aligned to business needs and provide actionable insights; manage the Client Relationship by interacting with client on a regular basis to obtain feedback and address concerns