Senior Analytics Engineer

• Improve data access for analytics applications by streamlining data queries, processes, and performance
• Work together with stakeholders to translate business requirements into solid data analytics solutions and architectures by first understanding what those requirements are
• Create intricate data pipelines, ETL procedures, and data models that support business objectives and analytical requirements
• To effectively extract, transform, and load data from diverse sources into data warehouses or analytical platforms, develop, deploy, and maintain ETL processes
• Throughout the ETL process, make sure data quality, integrity, and consistency
• Discover insights and trends in massive datasets by performing advanced data analysis, data mining, and statistical analysis
• Utilize predictive modeling and machine learning to tackle complicated business problems
• To successfully communicate insights and trends to stakeholders who are not technically savvy, create complex data visualizations and dashboards
• Use data visualization tools to create dynamic and useful reports (such as Tableau and Power BI)
• Deliver comprehensive analytics solutions by working with cross-functional teams that include data scientists, business analysts, and data engineers
• Processes for collecting data, procedures, and analytical approaches should be documented for knowledge exchange and future use
• Find ways to automate, optimize, and improve procedures to increase the efficacy and efficiency of analytics activities
• Concurrently manage and assign priority to a number of analytics projects to guarantee timely delivery and alignment with business requirements
• Identify and fix performance problems in data pipelines and processing.
• Instruct and mentor less experienced members of the analytics team on technical abilities and best practices

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as an Analytics Engineer
• Demonstrable experience working with Data Analytics and Data Engineering
• Prolific experience with Amazon S3, Amazon Redshift, and Python for Data Science
• Some understanding of Tableau, Power BI, SQL, Databricks, and Snowflake is desirable
• Excellent spoken and written English communication skills