Analytics Engineer

• Part of the overall Analytics Group, responsible for data modeling automation and preparing data needed by Data Science and Business Analytics teams
• Documenting the data cleaning and transformation processes, automating these processes, ensuring data governance practices are followed, and maintaining a data catalog
• Developing all PowerBI dashboards based on client needs or Data Science outputs
• Develop and maintain data pipelines and ETL processes
• Optimize data infrastructure for efficient data processing
• Ensure data quality and accessibility for data scientists and analysts
• Collaborate with cross-functional teams to address data needs and challenges
• Implement data governance and security best practices
• Support annual planning initiatives with clients
• Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions
• Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources
• Develop supervised, unsupervised, and semi-supervised machine learning models using state-of-the-art techniques to solve client problems
• Establish and create scalable and intuitive reporting methodologies through Power BI
• Identify business intelligence needs recommending the best KPIs and customer valuation models and dashboards
• Interpret data, analyze results, and identify trends or patterns in complex data sets
• Filter and “clean” data and review computer reports, printouts, and performance indicators to locate and correct data corruption problems
• Develop, evaluate, test, and maintain architectures and data solutions such as ETL Pipelines, Data Warehouses, Data Marts
• Automate data pipelines and develop automation workflows
• Develop scalable and intuitive ETL & ELT pipelines from a variety of marketing sources such as Salesforce, Adobe Analytics
• Identify data sources and create data pipelines using shell scripts or Python scripts
• Create technical documentation
• Plan data analysis work and develop execution estimates, continuously improving the accuracy of the estimates
• Develop Single Customer View stitching 1P data from various data sources

Analytics Engineer

Staff BI/Analytics Engineer