job description
modelling analytics-manager in pune

• Data Expert Role
• Identify and work on use-cases basis data to enhance, enrich data quality and provide stakeholders opportunities to digitize, simplify, automate their processes and improve customer experience
• Collate, interpret and analyze current business priorities and emerging business challenges/requirements
• Ensure all data-driven solutions or products i(existing and new) ihave the organizations goals imbibed within them
• Provide inputs on data strategy based on business-user expectations and IT/ technology strategy
• Ensure all internal project members and teams are aligned towards the objective & all enhancements are in sync with the same

• Data Expert Responsibilities
• Design and recommend data structures, source systems, and functionality, design facts, and dimensions
• Understand data formats, fields, and structures associated with the various standards for functions across BALIC
• Analyze various aspects for solution/model design and development including evaluation of available data, variable selection, decision tree development, software, tools, testing, etc.
• At various key stages of solution and model design and deployment, put up to supervisor for input and approval
• Apply technical expertise to develop solutions to resolve complex analytics problems
• Ensure data integration between multiple sources of data, and ensure data accuracy
• Prepare a detailed project plan for implementation as per stated objectives and align all relevant stakeholders towards it
• Participate in discussions with functional owners to understand requirements and formulate milestone-based project plans
• Maintain and monitor tracker across all projects, conducting periodic reviews with the team to ensure on-time and successful completion

skills

Python, R, Predictive Modeling, Model Developement

qualification

B.E/B.Tech

job description
modelling analytics-manager in pune

* Data Expert Role

* Identify and work on use-cases basis data to enhance, enrich data quality and provide stakeholders opportunities to digitize, simplify, automate their processes and improv

Experience: 5.00-12.00 Years