Overview
On Site
$60 - $70
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
API
Artificial Intelligence
Business Intelligence
Cloud Storage
Communication
Data Governance
Google Cloud Platform
Job Details
Key Responsibilities
- Stakeholder Collaboration
Partner with business users, product owners, and analysts to understand data needs and deliver impactful solutions. - Dashboard Development
Build interactive and scalable Power BI reports using data sourced from BigQuery and other Google Cloud Platform-native services. - AI Integration with Google Cloud Platform
Integrate Vertex AI and BigQuery ML to enhance reports with predictive modeling, natural language summaries, forecasting, and AI-powered insights within Power BI dashboards. - Data Modeling & Preparation
Translate business requirements into efficient data models and DAX expressions; transform data using Power Query and Python where needed. - Data Pipeline Collaboration
Work closely with data engineers to ensure smooth ingestion, transformation, and availability of Google Cloud Platform data assets (BigQuery, Cloud Storage, Pub/Sub). - Advanced Analytics
Use AI/ML techniques from Google Cloud Platform (Vertex AI, BigQuery ML) to support predictive insights, anomaly detection, and optimization models. - Data Governance & Quality
Support data governance practices by ensuring accuracy, consistency, and security of data used in dashboards and models.
Required Qualifications
- Experience:
6 8 years in data analytics or BI development, with at least 2-3 years working in Google Cloud Platform environments. - Power BI Expertise:
Strong proficiency with Power BI, including DAX, Power Query, and custom visuals. - Google Cloud Platform Knowledge:
Hands-on experience with BigQuery, Vertex AI, Cloud Storage, and Looker Studio is a plus. - AI/ML Integration:
Experience integrating AI models into dashboards using Vertex AI APIs, BigQuery ML, or Python-based services hosted on Google Cloud Platform. - Programming:
Strong SQL skills and familiarity with Python for AI modeling and API integrations. - Communication:
Excellent communication and storytelling skills to translate complex insights into actionable business outcomes.
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