Senior Data Analyst

SUMMARY:
We are seeking an experienced Senior Data Analyst to take the lead in developing and implementing cutting-edge data analytics solutions. In this role, you will collect, analyze, and interpret large datasets, providing valuable insights that drive strategic decision-making across the organization. You will also mentor junior analysts, manage data systems, and ensure data integrity while optimizing performance and security.

POSITION INFO:
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.

• Experience: 5-7 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 bachelor’s 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.