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 Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate read more Key Skills Data analysisAnalyticalMachine learningData qualityPredictive modelingBusiness strategyData miningSQLPython