Senior Consultant, Srm Job in Fractal Analytics Inc

Senior Consultant, Srm

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Job Summary

Brief about the Team & Fractal:

Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.

Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling.

  • Our mission is to help companies move towards higher levels of sophisticated and institutionalized use of analytics.
  • Understand, predict and influence consumer behaviour
  • Improve marketing, pricing, supply chain, risk and claims management
  • Harmonize data, visualize information, build dashboards and forecast business performance.

Key competencies:

  • Engagement Manager should have exposure to Strategic revenue management and related business strategies including Pricing & promotion, Marketing mix and Route to market
  • Good context & familiarity of CPG landscape, including data landscape
  • Skills in storyboarding, problem solving, and insights generation are must
  • Provide insights in a usable format to support management decisions and drive efficiencies


Job Responsibilities:

  • End to end solution development including consulting, analytics & technology streams
  • Comprehensive requirement gathering and business problem qualification, liaison with senior stakeholders in aligning the results & insights, manage stakeholder expectations
  • Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope
  • Translate business requirements to analytical solutions and articulate analytical solutions to actionable business insights in the form of a compelling story to be shared with business stakeholders
  • Analyse large volumes of data to understand customer behavioural patterns, gain business Insights and identify opportunities for improvement
  • Effectively communicate business findings and recommendations to all stakeholders
  • Think outside the box to identify & test new sources of information that can unlock new business value
  • Liaison among multiple teams - Product, Data Engineering, Data Science - to understand, envisage and execute the business requirements
  • Lead and Manage the accountabilities of the team. Define, communicate, and analyse success metrics for the delivery team

Desired Candidate:

Must Have

  • Overall experience of 10+ years, with minimum 6-8 years of hands-on modelling experience
  • Strong consulting, storyboarding and design skills
  • Strong expertise in CPG domain with extensive work done in atleast 2 of the following areas - pricing, promotion, assortment, marketing, ecommerce analytics,
  • Strong hands-on with MS office related skills esp Excel and Power-point
  • Strong hands-on experience in developing predictive models in some of these areas Price optimization, Media and Marketing investment optimization, cross-sell/ up-sell strategies, market segmentation, demand forecasting, etc
  • Technical depth/knowledge of tools and technologies such as R, Python
  • Good understanding on statistical modeling techniques Linear Regression, Logistic regression and Bayesian regression approach
  • Excellent problem-solving skills and communication skills (Written + Spoken) required
  • Experience working with and liaising across Agile teams

Good to Have:

  • Understanding of Cloud technologies such as AWS and Azure ecosystem
  • Understanding of Key Marketing metrics: Clicks, Conversion, CTR, ROI, GMV, Bounce Rate, Page Views, Funnel Analysis etc
  • Experience in analysing Marketing execution data- Social Media, ATL, BTL, Influencer Marketing/ Content marketing
  • Knowledge of Google Analytics and MySql
  • Hands-on experience onR, Python
  • Experience in a client-facing role

Education:

Preferably MBA/ B.Tech/PG in Statistics or Economic with relevant industry experience

Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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