Accountable for carrying out exploratory data analysis, visualization, and hypothesis testing.
Responsible for managing operational report requests via Tableau or any other reporting platform.
Need to set goals, strategies, project scopes, and deadlines for data analysis projects.
Need to collect data from internal & external sources and clean and prepare data as suitable for analytical tasks.
Responsible for presenting findings & actionable intelligence to stakeholders & senior management through data visualization tools.
Required 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 for performing 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.
Required to hold consultative meetings with internal stakeholders to share insights and gather feedback for enhancing special campaigns.
Need to regularly evaluate adoption programs, establish precise goals, and report on their outcomes.
Responsible for translating research results into simple, understandable insights for the business.
Accountable in using straightforward methods to identify and address operational and team issues.
Need to ensure resources work with key stakeholders and show project progress with clear business metrics.
Responsible for making necessary updates and improvements to systems.
Keep track of how well decision-making systems and statistical models are working.
Responsible for developing a team skills analysis, identifying gaps, and working with HRM to fill such gaps.
Delegate challenging projects to team members and support them through implementation.
Responsible for establishing and enforcing strict data standards to ensure consistency, accuracy, and reliability across all datasets. This includes defining clear guidelines for data collection, processing, and storage.
