Are you ready to help us make the future?

Join a team that is elevating our strategy to drive advanced analytics and visualization tools across Customer Experience. In this role, Data Analyst II – CX, you will design, implement, and manage the data architecture, systems, and processes to effectively collect, store, process and analyze high volume, high dimensional data to provide strategic insight into complex business problems. This will involve creating and maintaining scalable, efficient, and secure data pipelines, data warehouses, and data lakes. You need to ensure consistency in data quality and availability for analysis and reporting including compliance with data governance and security standards.

YOU MUST HAVE:

• 5 or more years of relevant experience in Data Engineering, ETL Development & Visualization
• Hands-On Experience in Power BI development
• Expert in scripting and querying languages, such as SQL etc
• Experience with both Structured and Unstructured data
• Experience in Snowflake
• SFDC or SAP business and technical knowledge
• Knowledge of Agile development methodology
• Adaptability of business priorities and being flexible with work & time management

WE VALUE

• Predictive analysis / trend analysis with large data
• Knowledge of databases, data warehouse platforms (Snowflake) and Cloud based tools.
• Experience in using data integration tools for ETL processes.
• Demonstrated experience in adobe analytics or google analytics
• Ability to develop and communicate technical vision for projects and initiatives that can be understood by stakeholders and management.
• Proven mentoring ability to drive results and technical growth in peers.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
• Demonstrated application of statistics, statistical modeling, and statistical process control.

Duties and Responsibilities

• Work in complex data science and analytics projects in support of the Customer Experience organization.
• Work with GDM owner to identify the data requirements and design/ maintain/ optimize data pipeline to ingest, transform, and load structured and unstructured data from various sources into the data warehouse or data lake.
• Design and implement data models and to support analytical and reporting requirements.
• Develop, operate and maintain Advanced Power BI reporting for visualization
• Develop and maintain ETL (Extract, Transform, Load) processes.
• Develop and maintain complex SQL queries.
• Exploratory Data Analysis to solve complex business problems.
• Enforce data governance policies, standards, and best practices to maintain data quality, privacy, and security – perform audit of the same
• Create and maintain comprehensive documentation for data architecture, processes, and systems.
• Troubleshoot and resolve data-related problems and optimize system performance.
• Partner with IT support team on production processes, continuous improvement, and production deployments.