Key Responsibilities:

Serve as the Data Analyst for critical datasets within the Customer Engagement Platform, ensuring data accuracy and integrity. Identify and address quality and compliance gaps, propose solutions, implement necessary configuration changes, and perform detailed analysis/validation of new functionality releases and bug fixes. Correlate data sets with Datacenter inventory/CMDB to support critical Datacenter migrations. Collaborate with business users to define, analyze, and resolve data-related issues, translating technical details for the IT team to implement solutions, with follow-up communication to stakeholders. Work closely with Project Leads, Project Managers, and Program Managers to understand data requirements and ensure timely delivery of data solutions. Manage, analyze, and mine large, diverse datasets, including both structured and unstructured data. Build advanced, interactive dashboards and reports to support business insights and decision-making. Lead large-scale data projects, ensuring alignment with business objectives and project timelines. Directly engage with clients, providing expertise to define hypotheses, determine appropriate methodologies for data extraction, and deliver actionable insights and recommendations. Communicate analysis results effectively to both technical and non-technical audiences, ensuring clear and compelling business outcomes. Demonstrate exceptional communication and presentation skills to convey data-driven findings across various business functions.

Essential Requirements:

Experience in data analytics, with expertise in SQL, MS Access, and data manipulation. Strong analytical and critical thinking skills, with a keen eye for detail and ability to conduct in-depth investigations and root cause analysis. Hands-on experience gathering and analyzing data from diverse sources, particularly customer-related datasets. Eagerness to learn new tools and stay updated on industry best practices. Excellent communication skills, both verbal and written. Solid understanding of IT environments and data management processes. Proficiency in building and presenting data visualizations using Tableau, Power BI, or similar tools is highly desirable. Experience with SQL, MS Excel, and statistical models or industry-standard tools for data analysis. Ability to construct and execute SQL queries for data analysis and deliver actionable insights. Experience in providing data solutions and tools to empower self-service frameworks for data consumers.

Desirable Requirements:

Familiarity with No-SQL databases, Teradata, and Big Data platforms. Experience in Data Warehousing, Data Pipelines, and working with large-scale data infrastructure.