

Data Analytics- for Trend Detection, Anomaly Detection, and Root Cause Analysis - 5 Years Exp
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analytics Consultant with 5+ years of experience, focusing on trend detection, anomaly detection, and root cause analysis using Tellius. Contract duration is 6-12 months, located in New Jersey, and requires strong SQL skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 5, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
New Jersey, United States
-
π§ - Skills detailed
#SQL (Structured Query Language) #Python #Documentation #Data Science #ML (Machine Learning) #Anomaly Detection #Data Modeling #Visualization #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #R #Storytelling #AI (Artificial Intelligence)
Role description
Position: Advanced analytics
Location: New Jersey
Duration: 6-12 months
3 days onsite / hybrid
Only W2
About the Role
We are seeking a highly skilled and proactive Analytics Consultant with hands-on experience in Tellius to join our growing analytics team. This role involves delivering end-to-end analytical solutions, developing insightful dashboards, and enabling self-service analytics through the Tellius platform. You will collaborate closely with cross-functional stakeholders to drive data-driven decision-making and support strategic business initiatives.
Key Responsibilities
β’ Design and implement advanced analytics solutions using the Tellius platform.
β’ Build and optimize augmented analytics workflows, leveraging AI/ML models for trend detection, anomaly detection, and root cause analysis.
β’ Translate business questions into analytical problems and deliver natural language query-enabled solutions for business users.
β’ Develop and maintain interactive dashboards and storytelling visualizations for decision-makers.
β’ Conduct training sessions and create documentation to promote self-service analytics adoption across business teams.
Required Skills & Experience
β’ 5+ years of experience in advanced analytics, data science, or business intelligence roles.
β’ Proven expertise in using Tellius for exploratory analysis, ML integration, and dashboard development.
β’ Strong SQL skills and experience.
β’ Familiarity with data modeling, ETL workflows, and data preparation best practices.
β’ Good understanding of statistical techniques and machine learning concepts.
β’ Experience working with Python or R is a plus.
β’ Strong communication and stakeholder management skills.
Position: Advanced analytics
Location: New Jersey
Duration: 6-12 months
3 days onsite / hybrid
Only W2
About the Role
We are seeking a highly skilled and proactive Analytics Consultant with hands-on experience in Tellius to join our growing analytics team. This role involves delivering end-to-end analytical solutions, developing insightful dashboards, and enabling self-service analytics through the Tellius platform. You will collaborate closely with cross-functional stakeholders to drive data-driven decision-making and support strategic business initiatives.
Key Responsibilities
β’ Design and implement advanced analytics solutions using the Tellius platform.
β’ Build and optimize augmented analytics workflows, leveraging AI/ML models for trend detection, anomaly detection, and root cause analysis.
β’ Translate business questions into analytical problems and deliver natural language query-enabled solutions for business users.
β’ Develop and maintain interactive dashboards and storytelling visualizations for decision-makers.
β’ Conduct training sessions and create documentation to promote self-service analytics adoption across business teams.
Required Skills & Experience
β’ 5+ years of experience in advanced analytics, data science, or business intelligence roles.
β’ Proven expertise in using Tellius for exploratory analysis, ML integration, and dashboard development.
β’ Strong SQL skills and experience.
β’ Familiarity with data modeling, ETL workflows, and data preparation best practices.
β’ Good understanding of statistical techniques and machine learning concepts.
β’ Experience working with Python or R is a plus.
β’ Strong communication and stakeholder management skills.