Managing the technical scope of the project in line with therequirements at all stages
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
Functional Competencies/ Skill
Leveraging Technology – Knowledge of current and upcomingtechnology (automation, tools and systems) to build efficiencies andeffectiveness in own function/ Client organization –
Process Excellence - Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk –
Technical knowledge – knowledge of various programminglanguages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) andtools on data analytics -