• Determining organizational goals • Mining data from different sources • Managing master data by creating, updating, cleaning, and trimming data • Grant technical expertise on cleaning, trimming, and storage of data • Analyze and interpret results • Identify trends, correlations, and patterns in complicated data • Present findings and concise data reports • Design relational databases and data systems • Work with management teams to set up business and information needs • Come up with new process improvement opportunities • Promoting data integrity and normalization • Evaluating changes and updates

• Collect, clean, and organize large datasets for analysis • Perform quantitative and qualitative analysis to identify trends and patterns • Support investment team in evaluating potential investment opportunities • Assist with financial modeling and forecasting • Conduct market research to identify industry trends and competitive landscapes • Create and maintain databases and analytical tools • Prepare reports and presentations for senior management and investors

• Work closely with marketing teams to support them with accurate, reliable, and timely data insights • Develop a monitoring system to track signal streams sent to advertising platforms • Improve visitor data quality by increasing user match rates and cleaning up irrelevant data • Research and implement ad creative measurement and reporting • Identify and test approaches to evaluate brand awareness investments • Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to marketing team • Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems

• Support solution decision-making as a trusted technical advisor. • Design, implement, and deploy data platforms in public and private cloud environments. • Guide clients on data strategy, governance, architecture, and quality management. • Conduct customer workshops, discovery sessions, and presentations. • Educate clients on modern technologies and their business value. • Define processes and tools for data acquisition, storage, transformation, and analysis. • Communicate solution and technology options and their business impact. • Develop roadmaps and implementation strategies for data initiatives. • Review and audit existing solutions and create architecture documentation. • Discuss solutions with stakeholders from C-level to engineering teams. • Function in various roles throughout the project lifecycle. • Assist in pre-sales activities and client presentations