GEN AI Data Analyst III

REMOTE

DURATION- 12 MONTHS -MULTI YEAR CONTRACT

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Interview Process

• MS Teams, 1 round

Logistics

• Daily Hours: 9AM to 6PM or 8AM to 5PM ART time
• Fully Remote

Work Allocation Responsibilities

• Responsible for gathering, analyzing, visualizing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise
• Provides expertise on how business workflows map to data, and how data can be integrated to build reusable data products
• Serves as a subject matter expert for IT delivery teams
• Report Development: Delivered 5+ complex reports with advanced interactivity and performance tuning
• Understand the business use of data and stakeholder requirements to support strategic business objectives
• Collaborate with delivery teams to provide data management direction and support for initiatives and product development
• Contribute to the design of common information models
• Consult on the appropriate data integration patterns, data modeling and data quality
• Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process

Required Technical Skills

Core Power BI Skills:

• DAX (Data Analysis Expressions) coding
• Data Modeling (star/snowflake schemas)
• ETL using Power Query and Dataflows
• Power BI Security (RLS, workspace roles)
• Power Query Transformations
• Advanced Visualizations (custom visuals, drill-throughs, bookmarks)
• Deployment Pipelines & version control
• Performance optimization: Query optimization and performance tuning
• SQL complex queries
• Data Connectivity:
• Azure SQL Synapse Analytics
• SQL Server, Excel, SharePoint, REST APIs
• Multi-source report integration
• Power BI Workspaces and licenses
• Data Analytics & Problem Solving
• Analytical mindset with ability to interpret complex datasets and deliver insights.
• Proactive issue resolution and troubleshooting.
• Works independently with minimal supervision.
• Additional capabilities:
• Data storytelling and stakeholder communication
• Statistical analysis and trend identification
• Data quality assurance and validation
• Translating business requirements into technical solutions

Required Functional/Domain Knowledge

• Familiarity with Agile methodologies
• Communicates clearly and professionally with technical and non-technical stakeholders.
• Demonstrates accountability and ownership of deliverables.