AI/ML Data Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Analytics Engineer with a contract length of "X months" and a pay rate of "$X/hour". Required skills include SQL, Python, Power BI/Tableau, and AI/ML expertise. Strong analytical, storytelling, and collaboration skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 24, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, United States
🧠 - Skills detailed
#AI (Artificial Intelligence) #Python #Data Wrangling #Tableau #Microsoft Power BI #Storytelling #BI (Business Intelligence) #Leadership #SQL (Structured Query Language) #ML (Machine Learning)
Role description

We are seeking a highly skilled and self-driven contractor to join our Advanced Analytics team. The ideal candidate will have expertise in data wrangling, business intelligence (BI), and AI/ML, with the ability to leverage these tools to deliver executive-level insights through compelling storytelling.

Key Responsibilities

   • Develop reports and dashboards (Power BI, Tableau) that translate complex data into actionable insights.

   • Utilize SQL, Python, and MS Fabric Lakehouse for advanced data wrangling and analysis.

   • Apply AI/ML and Agentic AI techniques to uncover trends and predictive insights.

   • Craft executive-level presentations (PowerPoint) that tell a clear, data-driven story.

   • Synthesize data from multiple sources to deliver fast, accurate insights under tight deadlines.

   • Proactively identify key business questions and provide data-backed recommendations.

   • Research hypotheses and present findings to senior leadership.

   • Collaborate with the Business Process Management (BPM) Six Sigma team to:

   • Identify operational efficiencies.

   • Present cost-saving opportunities.

   • Drive process improvements.

Required Skills & Qualifications

   • Proven experience in advanced analytics, data wrangling, and BI/AI/ML.

   • Strong proficiency in:

   • SQL

   • Power BI / Tableau

   • Python

   • MS Fabric Lakehouse

   • AI/ML & Agentic AI

   • Exceptional executive storytelling (PowerPoint).

   • Ability to connect data across systems and derive meaningful insights.

   • Strong analytical and problem-solving skills (identifying efficiencies, anomalies, and trends).

   • Excellent communication and collaboration skills.