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DATA ANALYTICS TRAINER

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  • Job Posting Type Managed on Cluzters.ai

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Full Time Job Requirement Details

  • Designation DATA ANALYTICS TRAINER
  • Required Skills R Programming, Python Programming, Machine Learning, Predictive Modeling
  • Position Level Mid Senior Level
  • Years of Experience 2-5 years
  • Indicative Package Range Not Disclosed
  • Domain Expertise Retail
  • Highest Qualification M.B.A, B.E / B.Tech, Any Post Graduation

JOB DESCRIPTION

Training on basics of analytics In the context of becoming a data-driven organization, with an endeavor to educate its internal stakeholders about the importance of data and analytics, develop an analytic-mind set towards problem solving and decision making to create business impact. While the team has undertaken several initiatives in the last couple of years, a time-bound training programme with key stakeholders within the organisation that focuses on the functional elements of data analytics is now required. Objective of the training programme: To help our business teams develop understanding on the power & significance of analytics and its possibilities to create opportunities for business by deploying appropriate analytics tools in the Organisational context. Understanding how to create business opportunities using data [Developing Analytics-mindset] Understanding the subject of Analytics from a business standpoint Functional elements] We are looking for expert-driven training programme in the following areas [INDICATIVE ONLY] ? Understanding Business Analytics and its possibilities and inhibitors in corporate world Identification of potential areas for Analytics with a clear business objective Transforming a business problem to an Analytics Use Case Integrated approach towards solving Analytics use case Analytics mind-set Data attributes and data points that may be needed for the selected use case Visualisation Predictive analytics - Forecasting, Prediction, etc. Business impact assessment of Analytics (pre- & post-application) and deriving ROI from Analytics Specifically, the training programme should be focused on the ?functional elements? and not the ?statistical process? in itself. We are not looking for coding/ programming and deep dive into statistical methods. Relevant case studies can be covered while explaining the merits and applicability of each of the analytics tools. The training programme should be structured for ? Audience: Cross-functional teams, including Sales, Commercial/Finance, Strategy, IT with educational backgrounds ranging from Commerce/Engineering /Post-graduate in any field or an MBA Time frame: A 3-month programme with 2-3 hours classroom sessions over weekend - Saturday 3-5

ABOUT COMPANY

Data is the new oil and at Econolytics, we aim to make the mining easier and affordable for you. We are a purpose driven Data Analytics marketplace, empowering businesses and professional data analysts around the world and help them both grow exponentially. In today’s world all companies understand the importance of data analytics, but many struggle to utilize their data for strengthening their businesses because they are not sure where to start and whom to hire. Econolytics is a worldwide marketplace of professional data analysts offering data analytics and consulting services. Through our platform we find the right data professional with desired domain and technical expertise for you and have them engage with you in an optimized manner to accommodate your budget and timelines. We understand the journey hence, we verify & facilitate you through it. We provide project management tools and templates to carefully map your project and enable you to monitor the project progress to ensure seamless milestone based payments. Various Challenger games, Hackathons and tests ensure continuous curation of the Data professionals on the platform hence providing the best talent to you. Our goal is simple and we are driven to make the most efficient data analytic marketplace; the place where businesses can find and purchase suitable data analytic service, all while helping talented data professionals thrive.

Location

Location Information

  • Location: Mumbai, Maharashtra, India - Get Directions
  • Formatted Address: Mumbai, Maharashtra, India
  • Street Address: Mumbai
  • City: Mumbai
  • State: Maharashtra
  • Country: India