As a Senior Data Strategist at Direct Agents, you will lead a team of Analysts and Strategists, and collaborate with cross-functional teams to develop and execute strategies that deliver exceptional results. Your analytical mindset, leadership skills, and passion for continuous learning will be key in contributing to our agency’s ongoing success.

• Data Analysis and Project Leadership | Lead and contribute to projects involving descriptive and predictive analysis, leveraging advanced statistical and machine learning techniques. Provide expert guidance and oversight on data analysis methodologies to ensure the delivery of insightful and impactful results.
• Collaboration and Solution Delivery: Collaborate effectively with clients and internal teams to conceptualize, design, and deliver data products, solutions, and insights that drive measurable business growth. Utilize strong communication skills to facilitate productive interactions with stakeholders and ensure alignment with project goals.
• Data Solutions Presentation | Effectively communicate and present data solutions, findings, and insights to both internal and client teams, tailoring communication to meet the needs of various audiences.
• Business Development | Be an active participant in the development of current and new businesses by understanding brand needs and effectively articulating solutions we can provide to solve their problem and grow their business.
• Data Preparation and Advanced Analysis | Access, extract, and transform complex and large-scale datasets to support advanced machine learning and statistical analyses. Apply rigorous data preprocessing techniques to ensure data quality and integrity for accurate analysis outcomes.
• Data Systems Research and Implementation: Research, evaluate, and contribute to the implementation of cutting-edge data systems, including martech, AI, and ML solutions, to enhance data-driven decision-making capabilities.
• Data Empowerment and Quality Assurance | Provide comprehensive measurement, BI, and insight solutions to empower cross-functional teams with reliable and relevant data for informed decision-making. Implement robust data quality assurance practices to monitor and maintain the accuracy and consistency of datasets.