Data Analyst

Summary

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Description

JOB SUMMARY

Analyze, create, maintain, and review complex objects and data models to align with project requirements. This role focuses on source-to-target data mappings, SQL-based data analysis and validation, data quality monitoring, and collaboration with customers and internal teams to support technology-enabled business projects.

Responsibilities

• Analyze, create, maintain, and review complex objects and data models to align with project requirements.
• Complete source-to-target data mappings with detailed transformations to be used by developers in writing code.
• Write SQL to analyze, validate, or correct data according to project requirements, including complex stored procedures, views, and functions.
• Measure and monitor data quality, review data issues, perform analysis, and execute remediation plans according to company standards and procedures.
• Provide oversight and direction for the team to develop solution alternatives and recommendations for technology-enabled business projects.
• Review recommendations and present findings to the business, data analysts, integration teams, BI Services, and other stakeholders as appropriate for direction and decision-making.
• Perform review of deliverables and artifacts for projects and require any misalignment, quality, or compliance issues to be corrected.
• Research, evaluate, and recommend software packages and solutions for purchase and deployment.
• Participate in the hiring process as needed.

Qualifications

• Proficient in data modeling for both transactional and dimensional data warehouse databases.
• Proficient in the creation of source-to-target mappings, including mapping of tables, files, and XML schemas from source to target.
• Working experience with a standard data modeling toolset; working knowledge of ER/Studio is a strong plus.
• Data mining skills, including data auditing, aggregation validation, and reconciliation.
• Strong ability with SQL Server and Azure databases such as Fabric Lakehouse and Synapse.
• Data analysis experience with data profiling and data validation.
• Data quality understanding of DQ concepts and familiarity with DQ tools and methods.
• Experience communicating with customers to obtain data requirements and perform data analysis on data provided.
• Working knowledge of Hadoop platforms and data components such as Hive, HBase, or Impala.
• Knowledge of real-time analytics and BI platforms such as Tableau.
• Strong oral and written communication and presentation skills.