Intelliswift Software

Data Analyst (AI Projects)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst (AI Projects) with a 6-month remote contract, offering a pay rate of "unknown." Key skills include 5+ years of experience, proficiency in Python and SQL, and exposure to AI-driven analytics tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
March 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Automation #Data Analysis #Complex Queries #Data Extraction #"ETL (Extract #Transform #Load)" #Python #SQL (Structured Query Language) #SQL Queries #AI (Artificial Intelligence) #Data Integrity #Leadership #Data Manipulation #Monitoring
Role description
Job Title: Data Analyst (AI Projects) Location: Remote - any time zone Duration: 6 Months Our client is seeking a detail‑oriented and insights‑driven Data Analyst to join our team. This role is ideal for someone who enjoys interpreting data, building executive‑level reports, and identifying meaningful trends that influence decision-making. You will work across multiple dashboards, monitor performance, and help leadership understand where progress is strong and where improvements are needed. Experience: 5+ years Required! Required Skills (Must‑Have) Experience with Python for data manipulation or automation Strong SQL proficiency (complex queries, data joins, performance analysis) Advanced reporting & insights presentation skills Experience monitoring data dashboards and identifying actionable trends Exposure to AI-driven analytics tools Responsibilities Monitor and analyze data across multiple dashboards to identify trends, performance gaps, and opportunities. Prepare clear, concise, and visually compelling insights reports for leadership. Build and maintain recurring reports that provide visibility into operational workstreams. Write and optimize SQL queries for data extraction and analysis. Collaborate with cross‑functional teams to interpret data requirements and refine reporting outputs. Ensure accuracy, data integrity, and consistency across reports and data sources. Support database updates, testing, and implementation activities. Contribute to the development of data best practices and process improvements.