Tech

Collect, analyze, and interpret data from multiple sources, including databases, spreadsheets, reports, and external sources, to identify trends, patterns, and insights.

Develop and maintain dashboards, reports, and visualizations to communicate key findings and insights to stakeholders and support decision-making and strategic planning.

Conduct ad-hoc analysis and deep-dive investigations to answer business questions, solve problems, and address challenges across various areas of the organization.

Collaborate with cross-functional teams to define key performance indicators (KPIs), metrics, and goals, and develop methodologies to measure and track performance against targets.

Perform data cleansing, transformation, and validation to ensure accuracy, completeness, and consistency of data for analysis and reporting purposes.

Apply statistical analysis techniques, predictive modeling, and machine learning algorithms to identify patterns, correlations, and relationships in data, and generate predictive insights.

Support the development and implementation of data-driven initiatives, projects, and programs to drive business growth, improve operational efficiency, and enhance customer experiences.

Stay abreast of industry trends, emerging technologies, and best practices in data analytics, and proactively identify opportunities to apply new tools and techniques to improve data analysis and insights generation.

Collaborate with IT teams to optimize data infrastructure, systems, and processes to support data analytics and reporting requirements, and ensure data integrity, security, and compliance.

Communicate findings, insights, and recommendations to stakeholders through written reports, presentations, and data visualizations, and facilitate discussions to drive consensus and action.