Analytics Engineer

• Use best practices to transform and prepare data for analysis. This includes writing, testing, and deploying transformation code, ensuring data quality and reliability.
• Create and maintain advanced tools and dashboards. Train Operational Analysts on these tools, enabling them to independently run reports and analyses.
• Develop and provide warehouse code optimized for deployment by Data Engineers. This involves working with modern data warehousing tools like Snowflake.
• Ensure the highest quality of data and maintain thorough documentation, making it easier for end users to understand and use the data effectively.
• Serve as a key intermediary between Operational Analysts and Data Engineers, understanding and translating the requirements of both teams to improve data processes and output.
• Leverage SQL/python to extract, transform and analyze various datasets within and across business units
• Design and implement data models to support analytical needs to empower end-users like data scientists and business analysts and drive a culture of data driven decision making
• Create comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
• Implement robust data quality assurance processes to ensure accuracy and reliability of datasets.
• Collaborate with stakeholders to understand data requirements and ensure alignment with business objectives.
• Work closely with cross-functional teams, including business analysts, engineers, and stakeholders, to understand data needs and deliver actionable models & insights.
• Provide upskilling, training and mentoring to analysts (within and outside of the team)
• Lead and contribute to the development of best practices for data analysis within the team.
• Stay informed about emerging trends and advancements in data analytics and SQL technologies.
• Propose and implement process improvements to enhance the efficiency of data-related workflows.

• Proven expertise in data fields, with strong skills in SQL, ETL processes, and data warehousing concepts.
• Proficiency in data analysis and visualization tools, with a demonstrated ability to train and empower others in these areas.
• Experience with modern data stack tools like dbt, and familiarity with cloud-based data warehouses.
• Exceptional problem-solving abilities and a dedication to improving data quality at its source.
• Effective communication skills, able to bridge technical and business domains seamlessly.

PI234996126