3+ R Language Jobs in Mumbai | R Language Job openings in Mumbai

• Engage with client business team managers and leaders independently to understand their requirements, help them structure their needs into data needs, prepare functional and technical specifications for execution and ensure delivery from the data team. This can be combination of ETL Processes, Reporting Tools, Analytics tools like SAS, R and alike.
• Lead and manage the Business Analytics team, ensuring effective execution of projects and initiatives.
• Develop and implement analytics strategies to support business objectives and drive data-driven decision-making.
• Analyze complex data sets to provide actionable insights that improve business performance.
• Collaborate with other departments to identify opportunities for process improvements and implement data-driven solutions.
• Oversee the development, maintenance, and enhancement of dashboards, reports, and analytical tools.
• Stay updated with the latest industry trends and technologies in analytics and data
• science.

• Lead the development, execution, and monitoring of advanced R models and analytics processes.
• Ensure data availability and integrity for model execution and analysis.
• Clean, manipulate, and visualize data from diverse sources to derive actionable insights.
• Maintain and document R scripts to ensure reproducibility and reliability of analytics processes.
• Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.
• Oversee the design and implementation of data visualization tools and dashboards using R packages such as ggplot2 and Shiny.
• Utilize databases and data manipulation packages like dplyr or data.table to handle large datasets efficiently.
• Provide guidance and support to business teams in running and interpreting model outputs.
• Maintain comprehensive documentation and logs of all activities, ensuring transparency and accountability. 
• Drive continuous improvement initiatives to enhance analytics capabilities and operational efficiency.
• Communicate complex analytical findings and recommendations to non-technical stakeholders effectively.

Role : 

• Understand and translate statistics and analytics to address business problems
• Responsible for helping in data preparation and data pull, which is the first step in machine learning
• Should be able to do cut and slice data to extract interesting insights from the data
• Model development for better customer engagement and retention
• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Working on strategy development to increase business revenue

Requirements:

• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Statistics: Strong knowledge of statistics
• Should able to do data scraping & Data mining
• Be self-driven, and show ability to deliver on ambiguous projects
• An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
• Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.