Key Responsibilities:Design and Development: Develop and maintain advanced analytics applications and data systems. Own key components of data solutions, ensuring they meet the needs of the business.Data Systems Implementation: Lead the development of data collection systems, ETL (Extract, Transform, Load) pipelines, and data warehousing strategies to ensure the highest levels of efficiency and data quality.Data Analysis: Interpret complex data, apply statistical techniques, and generate insights that inform business decisions. Proactively identify patterns and trends in large datasets.Technical Collaboration: Collaborate with cross-functional teams to design and implement complex data analytics solutions, ensuring alignment with business goals.ETL Development: Build, maintain, and optimize ETL pipelines to support large-scale data integration and transformation.Programming & Tools: Utilize technologies such as Typescript, SQL, and cloud platforms (e.g., AWS Big Data) to develop robust data solutions. Ensure data models and database designs are scalable, secure, and optimized.Leadership & Mentoring: Provide technical leadership and mentorship to junior data analysts, offering guidance and promoting best practices in data analytics and system design.Quality Assurance: Lead the unit testing, debugging, and troubleshooting efforts to maintain high-quality outputs and resolve complex technical issues.Qualifications:Experience: 6-7 years of experience in data analysis, including expertise in ETL development, data warehousing, and large dataset management.Technical Skills: Strong knowledge of SQL, Typescript, ETL frameworks, and data visualization tools (e.g., Tableau, Power BI). Experience with cloud platforms (e.g., AWS Big Data) is a plus.Programming Expertise: Proficiency in Typescript for data-driven applications, along with knowledge of database design and development, statistical analysis, and reporting tools.Education: A bachelors degree in Data Analytics, Computer Science, or a related field, or equivalent practical experience.Problem-Solving: Ability to troubleshoot and resolve complex data and technical issues, driving innovative solutions across analytics platforms.If you are ready to take your data analytics career to the next level, apply today!