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Data Analyst

This role is a Data Analyst position for 12 months+, remote, with a pay rate of "unknown." Key skills include SQL, Python, R, and strong Excel proficiency. A bachelor's degree in IT or related field and two years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
320
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Regression #Data Analysis #SQL (Structured Query Language) #Data Manipulation #Visualization #"ETL (Extract #Transform #Load)" #R #Computer Science #Migration #UAT (User Acceptance Testing) #Python
Role description
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Position: 12 months+ (NO 3RD PARTIES/C2C NOT AVAILABLE)

Location: Remote

POSITION OVERVIEW:

The Data Analyst plays a key role in supporting data-driven decision-making for a complex technology implementation. This hybrid role blends technical and functional expertise to analyze data across various applications and business processes. The position involves collaborating with cross-functional teams to ensure data readiness for testing, validation, and migration efforts.

RESPONSIBILITIES:
• Assist in preparing and staging data to support testing efforts, including system integration, regression, and user acceptance testing.
• Provide data support for design, development, and validation activities.
• Clean, transform, and organize data for migration into critical system environments.
• Generate reports and presentations to communicate insights and findings to project stakeholders.
• Develop custom reports to support integration efforts and project requirements.
• Participate in discovery and design sessions as needed.
• Adhere to organizational policies and procedures while performing assigned duties.

QUALIFICATIONS:

Required:
• Bachelor's degree in Information Technology, Computer Science, or a related field.
• At least two years of experience in a data analysis or related IT role.
• Proficiency in data analysis tools and languages such as SQL, Python, and R.
• Strong Excel skills, including data manipulation and visualization.
• Understanding of enterprise applications and their interconnections (e.g., customer systems, mapping tools, operational management software).

Preferred:
• Experience working in industries with complex data structures.
• Multilingual proficiency in written and spoken communication.