Senior Data Analyst Job In Dublin

**Senior Data Analyst Role** A highly skilled Senior Data Analyst is required to manage and manipulate complex data sources and pipelines into our data platform, ensuring data quality and consistency, and developing data solutions to store large volumes of data. **Job Description** Optum is a global organisation that delivers care, aided by technology to help millions of people live healthier lives. As a Senior Data Analyst, you will be responsible for creating specifications to bring data into a common structure, ensuring data quality and consistency, creating product specifications and models, developing data solutions to store large volumes of data. You will work closely with BI developers, data scientists, analysts, and other stakeholders to support their data needs. **Key Responsibilities** • Anticipates customer needs and proactively develops solutions to meet them • Serves as a key resource on complex and/or critical issues • Solves complex problems and develops innovative solutions • Performs complex conceptual analyses • Reviews work performed by others and provides recommendations for improvement • Forecasts and plans resource requirements • Authorizes deviations from standards • May lead functional or segment teams or projects • Provides explanations and information to others on the most complex issues • Motivates and inspires other team members • Create & maintain data pipelines • Create SQL Stored procs and Functions to perform complex transformations • Understand data requirements and design optimal pipelines to fulfil the use-cases • Creating logical & physical data models to ensure data integrity is maintained • Code management, CI/CD pipeline creation & automation using Git Hub & GIT Actions • Tuning and optimizing data processes • Design and build best in class processes to clean and standardize data • Code Deployments to production environment, troubleshoot production data issues • Modelling of big volume datasets to maximize performance for our Business Intelligence & Data Science Team **Requirements** • Computer Science bachelor's degree or similar • Strong proven industry experience as a Hands-on in Data Analytics • Excellent communication skills – Verbal and Written • Excellent knowledge of SQL • Excellent knowledge of Data warehousing & BI Solutions • Excellent Knowledge of change data capture (CDC), ETL, ELT, SCD etc. • Hands on experience on the following technologies: + Writing complex SQL queries + Building ETL/ELT/data pipelines using SCD logic + Query analysis and optimization • Analytical and problem-solving experience applied to a Big Data datasets • Data warehousing principles, architecture and its implementation in large environments • Experience working in projects with agile/scrum methodologies and high performing team(s) • Knowledge of different data modelling techniques such as Star Schema, Dimensional models, Data vault is an Advantage • Experience in code lifecycle management and repositories such as GIT & Git Hub • Exposure to Dev Ops methodology • Knowledge of Alteryx • Good understanding of Access control and Data masking **Preferred Qualifications** • Knowledge of Azure Services such as – Blobs, Functions, Azure Data Factory, Service Principal, Containers, Key Vault, etc. • Knowledge of Snowflake - Architecture, Features, Best practices • Knowledge and experience on Terraform, CI CD Pipelines and automation is an advantage • Automation and orchestration using ADF • Create real-time analytics pipelines using Snowpipe Streaming • Experience developing optimized data models for Viz tool E.g. Tableau, Power BI is an Advantage • Exposure and experience in other programming language such as Python, Spark etc. is an advantage • Hands-on experience of CI CD Pipelines using GIT & GIT Actions • Experience developing data pipelines in Azure & Snowflake or other technologies