• Gather information from various sources (data warehouses,database, data integration and modelling) and interpret patterns andtrends
• Develop record management process and policies
• Build and maintain relationships at all levels within the clientbase and understand their requirements.
• Providing sales data, proposals, data insights and accountreviews to the client base
• Identify areas to increase efficiency and automation ofprocesses
• Set up and maintain automated data processes
• Identify, evaluate and implement external services and tools tosupport data validation and cleansing.
• Produce and track key performance indicators

Analyze the data sets and provide adequate information

• Liaise with internal and external clients to fully understanddata content
• Design and carry out surveys and analyze survey data as per thecustomer requirement
• Analyze and interpret complex data sets relating tocustomer’s business and prepare reports for internal and externalaudiences using business analytics reporting tools
• Create data dashboards, graphs and visualization to showcasebusiness performance and also provide sector and competitorbenchmarking
• Mine and analyze large datasets, draw valid inferences andpresent them successfully to management using a reporting tool
• Develop predictive models and share insights with the clients asper their requirement

• Leveraging Technology – Knowledge of current and upcomingtechnology (automation, tools and systems) to build efficiencies andeffectiveness in own function/ Client organization – Expert
• Process Excellence – Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk – Expert
• Technical knowledge – knowledge of various programminglanguages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) andtools on data analytics – Expert