Headshot of Jaylund Harris

Jaylund Harris

Operations & Business Intelligence Analyst

I build end-to-end analytics systems (SQL + cloud + Power BI) that turn raw data into decision-ready insights across executive and operational layers.

Power BI • SQL • Snowflake • Azure • Python

Milner, GA • Open to Remote & Relocation

About Me

I’m a Business Intelligence & Operations Analyst focused on turning raw data into structured insights that drive operational and strategic decisions. My work bridges the gap between data architecture, analytical modeling, and business storytelling.

I design and implement end-to-end analytics systems starting with data ingestion and modeling, and ending with dashboards and forecasts that empower leaders to identify performance drivers, optimize processes, and plan with confidence.

Projects

Featured case study Operations intelligence Azure Blob → Snowflake → Power BI

AtlasOps Intelligence Platform

End-to-end cloud analytics platform built to simulate enterprise operational intelligence across multiple U.S. regions. Architected using Azure Blob for raw ingestion, Snowflake for ELT and star schema modeling, and Power BI for multi-layer reporting — delivered as a structured Power BI Service App.

Business Objective

  • Centralize performance across region → state → city → warehouse.
  • Identify drivers of late orders and bottlenecks.
  • Measure department and employee impact on errors and throughput.
  • Detect anomalies and forecast near-term demand.

Architecture

Azure Blob → Snowflake (ELT + Star Schema) → Curated Views → Power BI → Power BI Service App
Azure BlobSnowflakeSQLPower BI
AtlasOps Executive Overview
Executive overview: revenue, cost, orders processed, late orders, and geo performance.
AtlasOps History & Forecast
History overview: anomaly analysis and order forecasting.
Case study Sales intelligence Snowflake → Power BI

Nexora Sales Analytics Platform

End-to-end CRM analytics simulating executive sales intelligence for a SaaS business. Modeled in Snowflake using a star schema (including stage history) and delivered through interactive Power BI dashboards for revenue, funnel conversion, and regional performance.

Architecture

CRM Data → Snowflake (SQL Transformations + Star Schema) → Power BI → Executive Dashboards
SnowflakeSQLPower BIStar Schema
Nexora Sales Overview
Executive overview: revenue, deal size, cycle time, rep performance, and funnel conversion.
Nexora Sales Trends
Sales over time: momentum and seasonality.
Case study Operations & logistics CSV → Python → SQL → Power BI

E-Commerce Operations Analytics

End-to-end operations analytics project analyzing customer orders, products, returns, inventory, and shipments. Built from raw CSVs through a cleaned relational database and delivered via an interactive Power BI dashboard to surface revenue drivers, return behavior, and shipping performance.

Architecture

Raw CSVs → Python Cleaning → Relational SQL Database (SQLite) → SQL Insights → Power BI Dashboard
Python (Pandas)SQLite / SQLPower BI
E-Commerce Operations Dashboard
Full operational view: revenue, categories/products, returns, and geographic performance.

Skills & Technologies

Data Modeling & SQL

  • Star Schema Design & Fact/Dimension Modeling
  • SQL (CTEs, window functions, aggregation)
  • Curated semantic layers for reporting

Business Intelligence

  • Power BI (Semantic Modeling, DAX, App Publishing)
  • Executive KPI design and storytelling
  • Forecasting & trend analysis

Cloud & Workflow

  • Snowflake + Azure Blob Storage
  • Data cleaning & transformation (Python)
  • End-to-end analytics project ownership

Certifications

Google IT Support Certificate

Covered networking, troubleshooting, Linux systems, and foundational IT concepts. Strengthened my understanding of infrastructure and production environments — supporting work with cloud data platforms and analytics architecture.

Completed October 29, 2025
Issued by Coursera & Google Career Certificates

Verify Certificate

Let’s Connect

Open to Business Intelligence, Operations Analytics, and Data Analyst opportunities. I’m always interested in discussing data-driven problem solving and system design.