Intracruit Solutions

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Mid-Level Data Analyst with a contract length of "Unknown," offering a pay rate of "Unknown." It requires proficiency in Python, SQL, and data visualization tools, along with banking and financial industry experience. Remote work is available near specified locations.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Documentation #Libraries #Microsoft Power BI #Data Pipeline #Data Architecture #Tableau #Matplotlib #"ETL (Extract #Transform #Load)" #Data Quality #Data Extraction #Plotly Dash #Visualization #Monitoring #PostgreSQL #BI (Business Intelligence) #Data Accuracy #Automation #Python #Data Analysis #SQL (Structured Query Language) #Datasets #Plotly
Role description
• Only W2 Mid-Level Data Analyst Banking & Financial client GC and USC only Remote but near one of their locations; Columbus OH, Alpharetta, GA, Marietta, GA, Kansas City, MO, Berkley Heights NJ, Omaha NE, Frisco/Dallas TX, Denver CO Responsibilities: • Analyze and interpret network telemetry and automation data using Python and SQL to identify performance trends, anomalies, and optimization opportunities. • Develop and maintain analytical queries and data pipelines in PostgreSQL to support reporting, monitoring, and automation workflows. • Build interactive dashboards and visualizations using Python libraries (e.g., Plotly, Dash, Matplotlib) to communicate insights to network and operations teams. • Collaborate with network engineers and data architects to ensure data accuracy, define KPIs, and support automation initiatives with actionable intelligence. • Contribute to data quality, documentation, and governance efforts, ensuring consistency and reliability of network-related datasets. • Experience working with Network Devices. Preferred Skills: • Proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau). • Experience working with ITSM platforms like ServiceNow for data extraction and reporting. • Strong analytical and problem-solving skills. • Ability to communicate complex data insights to non-technical audiences.