Responsible of managing operational report requests via Tableau any other reporting platform
Need to attend for development of Analytics request from Business/Organizational Leader
Require to work with business/support units to identify opportunities for leveraging organizations data to drive business
Need to collect data from internal & external sources and clean and prepare data as suitable for analytical tasks
Accountable to carry out exploratory data analysis, visualization, hypothesis testing
Responsible of presenting findings & actionable intelligence to stakeholders & senior management through data visualization tools
Need to set goals, strategies, project scopes, and deadlines for data analysis projects.
Require to create dashboards tailored to meet the needs of different business divisions.
Ensure collaboration with both internal and external cross-functional teams to develop and test new use cases.
Responsible to perform data preparation, cleaning, exploratory analysis, and feature engineering on a large scale.
Need to offer direction to ensure steady business growth and exceptional performance within the division/business unit.
Need to persuade stakeholders to initiate new projects and campaigns.
Require to hold consultative meetings with internal stakeholders to share insights and gather feedback for enhancing special campaigns.
Need regularly evaluate adoption programs, establish precise goals, and report on their outcomes.
Responsible to translate research results into simple, understandable insights for the business.
Accountable to use straightforward methods to identify and address operational and team issues.
Need to suggest needed resources and work with key stakeholders and show project progress with clear business metrics.
Responsible to make necessary updates and improvements to systems.
Keep track of how well decision-making systems and statistical models are working.
Responsible to develop a team skills analysis, identify gaps and work with HRM to fill such gaps
Ensure delegate challenging projects to team members and support them through implementation.
Responsible to establish and enforce strict data standards to ensure consistency, accuracy, and reliability across all datasets. This includes defining clear guidelines for data collection, processing, and storage.
