Job Specifications
We are looking for a Senior Data Analytics Engineer for a large, global B2B high-tech company. In this role, you will be responsible for providing a granular view into historical usage data and will support analysts when reviewing disputes submitted by the customer. You will identify changes (both internally and directly on the customer’s instance) that may have occurred that are impacting usage and subsequently, quantify a valid credit amount.
This is a 6-month contract, part-time, 20 hours per week, remote role in the US.
This is a W2 employee of Stage 4 Solutions. Health benefits and 401K are offered.
Responsibilities
Data Modeling & Integration
Connect Power BI to Snowflake efficiently
Optimize queries and warehouse performance.
Create semantic models and reusable datasets.
Integrate AI tools into the dashboard
Dashboard Development
Develop a dashboard that dynamically changes visuals and data sources based on the products selected
Implement an interactive dashboard that breaks out details by product type along with drill-through and filter capabilities.
Establish consistent visual design, KPI cards, and navigation.
Integrate AI capabilities that can assess data from various tables to provide key insights on data in a dashboard
Cortex AI Integration
Incorporate AI Summarization of changes
Implement natural language Q&A or conversational insights using Cortex LLM features.
Automate anomaly or trend detection.
Performance Optimization
Ensure efficient load times, DAX optimization, and query performance.
Set up caching, incremental refresh, or performance monitoring.
Documentation & Knowledge Transfer
Provide clear technical documentation (data model, DAX logic, AI pipelines).
Conduct knowledge transfer or walkthrough sessions.
Requirements
Power BI Expertise
Advanced DAX, Power Query, data modeling, and visualization design.
Snowflake Expertise
Proficiency in SQL, schema design, and performance tuning.
Familiarity with Snowflake and integration into Power BI
AI/ML & Cortex AI Familiarity
Experience using Snowflake Cortex (or equivalent LLM integration like Vertex AI or Azure OpenAI).
Understanding of prompt engineering, model outputs, and security/privacy considerations.
General Skills
Experience integrating BI with AI/ML workflows.
Strong communication and documentation habits.
Ability to work iteratively with non-technical stakeholders.
Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related quantitative field; equivalent practical experience accepted.
Coursework Or Formal Training In
Data modeling, SQL, and cloud data warehousing
Business Intelligence/data visualization
Machine learning and LLM fundamentals (preferred)
Relevant Certifications Such As
Microsoft PL-300 (Power BI Data Analyst)
Snowflake SnowPro Core or Advanced
AI/LLM certifications (Azure OpenAI, Vertex AI, or equivalent) are a plus.
Demonstrated completion of applied data engineering, BI, or AI bootcamps is also acceptable.
Please submit your resume to our network at https://www.stage4solutions.com/careers/ (apply to the Senior Data Analytics Engineer – Power BI & Snowflake (Part-time, Remote)) role.
Please feel free to forward this job post to others you think may be interested.
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on the job requirements and candidates’ qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information or other applicable legally protected characteristics.
Compensation: $85 – $87.36/hr on W2
About the Company
Stage 4 Solutions is a consulting and interim staffing firm ranked on the Inc. 5000 list five times for consistent growth. We specialize in serving high-tech, pharmaceutical, and aerospace/defense companies and government agencies, by providing seasoned professionals for both short-term and long-term needs across marketing, technology and operations teams. We utilize our extensive internal network of experienced consultants and contractors to fast-track critical initiatives and fill resource gaps.
Since 2001, we have served...
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