Data Analyst - SQL, MS Access, Power BI/Tableau

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.