Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst with a contract length of "unknown" and a pay rate of "$X/hour". It requires a Bachelor's degree and 0–2 years of experience in data analysis, proficiency in SQL, and familiarity with BI tools like Tableau or Power BI.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Visualization #BI (Business Intelligence) #Python #SQL (Structured Query Language) #AWS (Amazon Web Services) #Mathematics #Data Science #Data Cleaning #Computer Science #R #Microsoft Excel #Tableau #GCP (Google Cloud Platform) #Data Analysis #Microsoft Power BI #Azure #SQL Queries #Statistics #Forecasting #Cloud #"ETL (Extract #Transform #Load)" #Looker
Role description
Overview: We are looking for an Analyst who will be a subject matter expert in invoice processing, forecasting, and data analytics to support our team. This role requires sound judgment in financial planning, vendor cost management, and providing recommendations to ensure budget adherence, process efficiency, and integration of programs and procedures into operations. Key Responsibilities: • Gather, clean, and organize data from various sources. • Perform basic data analysis to identify trends, patterns, and insights. • Create and maintain reports and dashboards using BI tools (e.g., Tableau, Power BI). • Write and execute SQL queries to extract and manipulate data. • Assist in data validation, ensuring accuracy and completeness. • Collaborate with different teams to understand business needs and reporting requirements. • Document data processes and findings for internal reference. • Support senior analysts with ad hoc analysis and reporting. Required Qualifications: • Bachelor’s degree in data science, Statistics, Mathematics, Computer Science, Business Analytics, or related field. • 0–2 years of experience in data analysis, business intelligence, or related field. • Basic knowledge of SQL for data querying. • Proficiency in Microsoft Excel or Google Sheets. • Exposure to data visualization tools such as Tableau, Power BI, or Looker. • Understanding of basic statistical concepts and analytical techniques. • Strong problem-solving skills and attention to detail. • Good communication and teamwork skills. Preferred Qualifications: • Experience with Python or R for data analysis. • Familiarity with data cleaning and transformation techniques. • Exposure to cloud platforms (AWS, Azure, or GCP).