Senior Data Consultant Advanced English Level is required
hace 7 días
We're looking for a skilled Senior Data Consultant to join our Value Realization Services (VRS) team. In this role, you'll collaborate with NICE Business Consultants, Sales Executives, Customer Success Managers, and Clients to deliver impactful, data-driven solutions that optimize contact center operations. This is a senior, highly technical, hands-on role focused on architecting, developing, and automating scalable data solutions; driving advanced analytics; optimizing databases and pipelines; and unlocking measurable value from NICE products. If you have deep expertise in SQL, Python, databases, and a mindset for automation and optimization, this role is for you. What You'll Do: Technical Delivery & analytics Architect, build, and maintain end-to-end data solutions?from requirements gathering and advanced data modeling to developing automated pipelines in Python and SQL. Lead improvements to our ETL/ELT architecture, with a focus on performance, scalability, and maintainability. Ensure high data integrity, reliability, and efficiency across multiple pipelines and environments. Design and optimize database schemas, define relationships, and improve performance across platforms such as Snowflake, Azure, AWS, PostgreSQL, or SQL Server. Create and optimize complex SQL queries, transformations, and workflows. Build and refine semantic models for BI reporting, ensuring optimal performance in Power BI. Drive automation by identifying repetitive processes and designing scripts, frameworks, or tooling to streamline operations. Produce deep-dive analyses, uncovering trends and generating insights for both technical and business stakeholders. Business Impact & Value Realization: Identify opportunities for new data solutions, analytics services, or product enhancements. Review and improve existing scripts, queries, and analytic methodologies to maximize business impact. Translate complex business questions into quantifiable metrics (KPIs, OKRs). Build financial analyses focused on Call Center Key Performance Indicators (KPIs), including potential and achieved benefits. Maintain and improve documentation standards for data workflows and solutions. What You'll Bring: Required Qualifications/Experience: Bachelor's degree in business, Computer Science, Mathematics, Engineering, or related analytical field, or equivalent practical experience. Senior-level expertise in SQL ? advanced joins, window functions, optimization, stored procedures, performance tuning. (Snowflake, Azure, PostgreSQL, MySQL, Oracle, etc.) Advanced proficiency in Python, with experience building production-ready automation scripts, ETLs, or analytics tools. Strong hands-on experience with databases (Snowflake, Azure SQL, PostgreSQL, MySQL, Oracle, etc.) including schema design, performance tuning, and query optimization. Experience with data modeling (dimensional + relational) and building scalable data architectures. Exceptional analytical, communication and presentation skills. Self-motivated and proactive with the ability to work autonomously and to adapt in a fast-paced environment. #J-18808-Ljbffr
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